JEBatta_ABM_agents_food_heuristics/agent_model.nlogo
globals[
;; parameters

  ;; consumat sims params
  ;; dummy variables
  mylist
  patch-reg-dev
  ii
  treg
  ;;outputs
  pop
  pop1
  pop2
  pop3
  pop4
  pop5
  pop6
  pop7
  pop8
  pop9
  pop-rep
  pop-imit
  pop-inq
  pop-opt
  global-sat-e;CONSUMAT outputs start here ;satisfaction
  global-sat-p
  global-sat-s
  rate-satisfaction
  global-uncertainty ; CONSUMAT uncertainty
  rate-uncertainty
  av-energy
  e1
  e2
  e3
  e4
  e5
  e6
  e7
  e8
  e9
  e-rep
  e-imit
  e-inq
  e-opt
  pop-acc-a
  pop-acc-b
  en-acc-a
  en-acc-b
  time-abundance-t
  time-famine-t
  season-accum
  season-t
  season-time
  number-cycles
]
breed [persons person]
persons-own [
  energy
  energy-max
  dE
  dE-estimate
  dE-variance
  accumulation?
  acc-limit
  limit-dif
  agent-eating-fraction
  strategy
  increment
  eat?
  eat-before?
  move?
  ;; CONSUMAT variables
  sat-e ;; satisfaction
  sat-p
  sat-s
  threshold-sat
  max-sat-e
  min-sat-e
  min-energy-social
  max-sat-s
  min-sat-s
  n-alpha
  n-action
  uncertainty ;;
  threshold-u
  max-u
  min-u
  rule
  satisfied?
  certainty?
  utilities-p
  utilities-e
  utilities-s
  estimate-food-neighbors
  pool-of-strategies
  history-rule
  history-sat
  history-u
  ]

patches-own[
  source-energy
  food-here?
  xoasis?
  tag
  xtreg
  xpgrow
]

 to setup
  clear-all
  set-default-shape persons "person"
  set-for-sims


  create-persons (pop-total) [
    set eat? false
    set eat-before? false
    set move? false
    set accumulation? true
    set-initial-strategy-and-rule
    move-to one-of patches with [not any? persons-here]
    set energy E0
    set energy-max energy
    set dE 0
    set dE-estimate 0
    set dE-variance 0
    set max-sat-e 0
    set min-sat-e 0
    set min-energy-social energy
    set max-sat-s 0
    set min-sat-s 0
    set n-alpha 1
    set n-action 1
    set uncertainty 0
    set max-u uncertainty
    set min-u uncertainty
    set agent-eating-fraction eating-fraction
    set threshold-sat random-float 0.1
    set threshold-u random-float 0.1
    set satisfied? true
    set certainty? true
    set utilities-p [0 0 0 0 0 0 0 0 0]
    set utilities-e [0 0 0 0 0 0 0 0 0]
    set utilities-s [0 0 0 0 0 0 0 0 0]
    set history-rule ""
    set history-sat ""
    set history-u ""
  ]

  ask persons[
    ifelse tournament = "accumulation" or tournament = "accumulation-limit-binary"
    [set-pool-of-strategies-accumulation]
    [set-pool-of-strategies]
  ]

  ask patches [
    set source-energy Es
    set tag 0
    set xtreg treg

    if sources-distribution = "random-on-time" or sources-distribution = "constant" [set xpgrow p-grow]
    if sources-distribution = "random-on-space" or sources-distribution = "random-on-space-and-time" [set xpgrow random-float 1.0]

    set pcolor white
    set food-here? false
    ifelse random-float 1 <= p-oasis [set xoasis? true][set xoasis? false]
    if regeneration-type = "oasis" [
      ifelse xoasis? [set xpgrow p-grow][set xpgrow 0]
    ]
    if regeneration-type = "vacancies" [
      ifelse xoasis? [set xpgrow 1][set xpgrow p-grow]
    ]
    if regeneration-type = "deterministic" [
      set food-here? true
      set pcolor green
      set source-energy Es
      set tag 0
    ]
  ]
  if famine-abundance [setup-abundance-famine]
  reset-ticks
end

to go
  if not any? persons [ stop ]
  if famine-abundance [go-abundance-famine]
  grow-sources
  ask persons
  [
    perceive
    if movement-type = "simple" [move-simple]
    if movement-type = "composed" [move-composed]
    eat
    update-energy

    ifelse tournament = "accumulation" or tournament = "accumulation-limit-binary"
    [update-strategy-accumulation]
    [update-strategy]

    update-satisfaction
    update-uncertainty
    if decision-rule-mode = "dynamic" [update-rule]
    death
  ]
  if history-record [write-file-history]
  if any? persons [set-globals]
  tick
end

to setup-abundance-famine

ifelse season-stochastic [
      set time-famine-t floor random-normal time-famine std-season
      set time-abundance-t floor random-normal time-abundance std-season
      set season-t time-famine-t + time-abundance-t
      set season-accum 1
    ]
    [
      set time-famine-t time-famine
      set time-abundance-t time-abundance
     ]
    set number-cycles 0
    ask patches [set xpgrow p-grow-abundance]

end

to go-abundance-famine
  if season-stochastic [
  set season-time ticks - season-accum
  if season-stochastic and ticks > 0 and season-time = season-t [
    set season-accum season-accum + season-t
    set time-famine-t floor random-normal time-famine std-season
    set time-abundance-t floor random-normal time-abundance std-season
    set season-t time-famine-t + time-abundance-t
    set number-cycles number-cycles + 1
  ]
  ]
  set-famine-abundance
end

to set-initial-strategy-and-rule

  if tournament = "accumulation" or tournament = "self-rationing-accumulation" [
    set strategy initial-strategy-a
    if who mod 2 = 0 [set accumulation? false set color red]
    if who mod 2 = 1 [set accumulation? true set color violet]
  ]
  if tournament = "accumulation-limit-binary" [
    set strategy initial-strategy-a
    set accumulation? true
    if who mod 2 = 0 [set acc-limit acc-limit-a set color red]
    if who mod 2 = 1 [set acc-limit acc-limit-b set color violet]
  ]
  if tournament = "binary" [
    if who mod 2 = 0 [set strategy initial-strategy-a set color red]
    if who mod 2 = 1 [set strategy initial-strategy-b set color violet]
  ]
  if tournament = "none" [
    set strategy one-of ["S1" "S2" "S3" "S4" "S5" "S6" "S7" "S8" "S9"]
    set color black
    ]
  if tournament = "all" [
    if who mod 9 = 0 [set strategy "S1" set color 1]
    if who mod 9 = 1 [set strategy "S2" set color 2]
    if who mod 9 = 2 [set strategy "S3" set color 3]
    if who mod 9 = 3 [set strategy "S4" set color 4]
    if who mod 9 = 4 [set strategy "S5" set color 5]
    if who mod 9 = 5 [set strategy "S6" set color 6]
    if who mod 9 = 6 [set strategy "S7" set color 7]
    if who mod 9 = 7 [set strategy "S8" set color 8]
    if who mod 9 = 8 [set strategy "S9" set color 9]
  ]
  if decision-rule-mode = "one-rule" [
    set rule one-rule
  ]
  if decision-rule-mode = "dynamic" [
    if who mod 4 = 0 [set rule "repetition"]
    if who mod 4 = 1 [set rule "imitation" ]
    if who mod 4 = 2 [set rule "inquiring" ]
    if who mod 4 = 3 [set rule "optimizing"]
  ]
end

to grow-sources
  ask patches with [not food-here?] [
    if regeneration-type = "oasis" [
    ifelse xoasis? and random-float 1 < xpgrow [
      set food-here? true
      set pcolor green
      set source-energy Es
      set tag 0
    ][
      set food-here? false
      set pcolor white
      set source-energy 0
      set tag 0
    ]
    ]
    if regeneration-type = "vacancies" [
    ifelse not xoasis? and random-float 1 > xpgrow [
      set food-here? false
      set pcolor white
      set source-energy 0
      set tag 0
    ][
      set food-here? true
      set pcolor green
      set source-energy Es
      set tag 0
    ]
    ]
    if regeneration-type = "deterministic" and tag = treg [
      set food-here? true
      set pcolor green
      set source-energy Es
      set tag 0
    ]
    if regeneration-type = "all-patches" [
      ifelse random-float 1 < xpgrow [
      set food-here? true
      set pcolor green
      set source-energy Es
      set tag 0
    ][
      set food-here? false
      set pcolor white
      set source-energy 0
      set tag 0
    ]
    ]
  ]
end

to eat
  let eat-energy 0
  if strategy = "S2" or strategy = "S4" or strategy = "S6" or strategy = "S8" or strategy = "S9" [
    ask patch-here [
    if food-here? [
      ifelse (Es * [agent-eating-fraction] of myself) >= source-energy [
        set eat-energy source-energy
        set source-energy 0
        set food-here? false
        set pcolor white
        set tag 0
      ][
        set source-energy source-energy - Es * [agent-eating-fraction] of myself
        set eat-energy Es * [agent-eating-fraction] of myself
      ]
  ]
  ]
  ]
  set increment eat-energy
  set eat-before? eat?
  ifelse increment = 0 [set eat? false][set eat? true]
end
to perceive
  if strategy = "S3" or strategy = "S4" or strategy = "S7" or strategy = "S8" or strategy = "S9" [
    ifelse (count neighbors with [food-here?]) > 0
    [set estimate-food-neighbors 1]
    [set estimate-food-neighbors 0]
  ]
  if strategy = "S1" or strategy = "S2" or strategy = "S5" or strategy = "S6" [set estimate-food-neighbors 0.5]
end
to move-simple
  set move? false
  if strategy = "S6" or strategy = "S5" [move-to one-of neighbors set move? true]
  if  strategy = "S7" or strategy = "S8" [
    ifelse estimate-food-neighbors = 1
    [move-to one-of neighbors with [food-here?]]
    [move-to one-of neighbors]
    set move? true
  ]
  if strategy = "S9" [
    if not [food-here?] of patch-here and estimate-food-neighbors = 1
    [move-to one-of neighbors with [food-here?] set move? true]
    ]
end
to move-composed
  let p 1
  ifelse (energy > 2 and energy < Emax )[move-simple][
    if (energy < 2)[set p exp(energy - 2)]
    if (energy > Emax) [set p exp(Emax - energy)]
    ifelse random-float 1 <= p [move-simple][set move? false]
  ]
end

to update-energy
  let a0 0
  let a1 0
  if metabolism-type = "lineal" [set a1  (- Mb)]
  if metabolism-type = "constant" [set a0 (- Mb * Emax)]
  if metabolism-type = "constant-lineal" [
    ifelse energy < Emax
    [set a0 (- Mb * Emax)]
    [set a1 (- Mb)]]
  if metabolism-type = "accumulation-punishment" [
   set a0 (-1 * Mb * energy-max)
  ]
  if strategy = "S3" or strategy = "S4" or strategy = "S7" or strategy = "S8" or strategy = "S9"
  [set a0 a0 - CostP]
  if move? [set a1 a1 - Cm]
  if tournament = "accumulation"[
  ifelse accumulation?
  [
    set dE a0 + increment + a1 * energy
    set energy energy + dE
    set increment 0
  ]
  [
    set dE a0 + increment + a1 * energy - energy
    set energy a0 + increment + a1 * energy
    set increment 0
    ]
  ]
  if tournament = "accumulation-limit-binary"[
    set dE a0 + increment + a1 * energy
    ifelse (energy + dE) > acc-limit [
      set limit-dif (energy + dE - acc-limit)
      set energy acc-limit
    ] [
      set limit-dif (- energy - dE + acc-limit)
      set energy energy + dE
    ]
    set increment 0
  ]
    if tournament = "self-rationing-accumulation"[
  ifelse accumulation?
  [
    set dE a0 + increment + a1 * energy
    set energy energy + dE
    set increment 0
  ]
  [
   let temp a0 + increment + a1 * energy - 1
   if temp > 0 [ask patch-here [set source-energy temp] ]
   set dE 1 - energy
   set energy 1
   set increment 0
  ]
  ]
  if tournament = "binary" or tournament = "none" or tournament = "all" [
    set dE a0 + increment + a1 * energy
    set energy energy + dE
    set increment 0
  ]
  ;set dE-estimate (dE-estimate * (ticks) + dE)/ (ticks + 1)
  set dE-estimate dE
  ;set dE-variance (dE-variance * (ticks) + (dE - dE-estimate) ^ 2 )/ (ticks + 1)
  set dE-variance 0
  if energy > energy-max [set energy-max energy]
end

to update-satisfaction
  ;; existential need satisfacation
  let t-sat-e dE
  if t-sat-e > max-sat-e [set max-sat-e t-sat-e]
  if t-sat-e < min-sat-e [set min-sat-e t-sat-e]
  if (max-sat-e - min-sat-e) != 0 [set sat-e (t-sat-e - min-sat-e)/(max-sat-e - min-sat-e)]
  ;; other needs
  ;; personality need satisfaction
  if eat? and eat-before? [set sat-p 1.0]
  if eat? and not eat-before? [set sat-p 0.83333]
  if not eat? and eat-before? [set sat-p 0.166667]
  if not eat? and not eat-before? [set sat-p 0.0]
  ;; social need satisfaction
  let t-sat-s -1
  if strategy = "S1" or strategy = "S2" or strategy = "S5" or strategy = "S6" [
    if min [energy] of turtles-here < min-energy-social [set min-energy-social min [energy] of turtles-here]
    if count turtles-here > 1 [
      set t-sat-s -1 * abs (min-energy-social - energy)
    ]
  ]
  if strategy = "S3" or strategy = "S4" or strategy = "S7" or strategy = "S8" or strategy = "S9" [
    let temp min [energy] of turtles-on (patch-set patch-here neighbors)
    if temp < min-energy-social [set min-energy-social temp]
    if count turtles-on (patch-set patch-here neighbors) > 1 [
      set t-sat-s -1 * abs (min-energy-social - energy)
    ]
  ]
  if t-sat-s > max-sat-s [set max-sat-s t-sat-s]
  if t-sat-s < min-sat-s [set min-sat-s t-sat-s]
  if (max-sat-s - min-sat-s) != 0 [set sat-s (t-sat-s - min-sat-s)/(max-sat-s - min-sat-s)]

  ;; stablish satisfaction status
  if needs = "complete-set" [
  ifelse sat-s >= threshold-sat and sat-e >= threshold-sat and sat-p >= threshold-sat
  [set satisfied? true][set satisfied? false]
  ]
  if needs = "only-existential" [
  ifelse sat-e >= threshold-sat
    [set satisfied? true][set satisfied? false]
  ]
end
to update-uncertainty
  if strategy = "S1" or strategy = "S2" or strategy = "S5" or strategy = "S6" [
    ;set n-alpha n-alpha - 1 + count turtles-here
    set n-alpha count turtles-here
    ;set n-action n-action - 1 + count turtles-here with [strategy = [strategy] of myself]
    set n-action count turtles-here with [strategy = [strategy] of myself]
  ]
  if strategy = "S3" or strategy = "S4" or strategy = "S7" or strategy = "S8" or strategy = "S9" [
    set n-alpha n-alpha - 1 + count turtles-on (patch-set patch-here neighbors)
    set n-action n-action - 1 + count (turtles-on (patch-set patch-here neighbors)) with [strategy = [strategy] of myself]
  ]
  let t-u 0.5 * dE-variance + 0.5 * (n-alpha - n-action) / n-alpha
  if t-u > max-u [set max-u t-u]
  if t-u < min-u [set min-u t-u]
  if (max-u - min-u) != 0 [set uncertainty (t-u - min-u)/(max-u - min-u)]
  ;; stablish uncertainty status
  ifelse uncertainty >= threshold-u
  [set certainty? false][set certainty? true]
end
to update-rule
  if satisfied? and certainty?  [set rule "repetition"]
  if satisfied? and not certainty?  [set rule "imitation"]
  if not satisfied? and certainty?  [set rule "optimizing"]
  if not satisfied? and not certainty?  [set rule "inquiring"]
end

to calculate-utilities
    ;; diference in utilities of personal needs
    if eat? and move? and estimate-food-neighbors = 0.5 [set utilities-p [-1 -0.5 -1 -0.5 -1 0 -1 0 0]]
    if eat? and move? and estimate-food-neighbors = 1 [set utilities-p [-1 -0.5 -1 -0.5 -1 -0.5 -1 0 0]]
    if eat? and move? and estimate-food-neighbors = 0 [set utilities-p [-1 -0.5 -1 -0.5 -1 -0.5 -1 0 -0.5]]
    if eat? and not move? and estimate-food-neighbors = 0.5 [set utilities-p [-1 0 -1 0 -1 -0.5 -1 -0.5 0]]
    if eat? and not move? and estimate-food-neighbors = 1 [set utilities-p [-1 0 -1 0 -1 -0.5 -1 0 0]]
    if eat? and not move? and estimate-food-neighbors = 0 [set utilities-p [-1 0 -1 0 -1 0 -1 0 0]]
    if not eat? and move? and estimate-food-neighbors = 0.5 [set utilities-p [0 0.5 0 0.5 0 0 0 0 0.5]]
    if not eat? and move? and estimate-food-neighbors = 1 [set utilities-p [0 0.5 0 0.5 0 0 0 0 0.5]]
    if not eat? and move? and estimate-food-neighbors = 0 [set utilities-p [0 0.5 0 0.5 0 0.5 0 0 0]]
    if not eat? and not move? and estimate-food-neighbors = 0.5 [set utilities-p [0 0 0 0 0 0.5 0 0.5 0.5]]
    if not eat? and not move? and estimate-food-neighbors = 1 [set utilities-p [0 0 0 0 0 1 0 1 0.5]]
    if not eat? and not move? and estimate-food-neighbors = 0 [set utilities-p [0 0 0 0 0 0 0 0 0]]

    if strategy = "S9" and move? [
      ifelse eat?
      [set utilities-p replace-item 1 utilities-p -1
       set utilities-p replace-item 3 utilities-p -1]
      [set utilities-p replace-item 1 utilities-p 0
       set utilities-p replace-item 3 utilities-p 0]
    ]
    ;; utilities of existential needs
    let c1 CostP
    let c2 Cm * energy
    if strategy = "S1" or strategy = "S2" [set utilities-e (list 0 0 (- c1) (- c1) (- c2) (- c2) (- c1 - c2) (- c1 - c2) (- c1 - c2 / 2))]
    if (strategy = "S3" or strategy = "S4")[
      set utilities-e ( list c1 c1 0 0 ( c1 - c2) ( c1 - c2) ( - c2) ( - c2) (- c2))
      if estimate-food-neighbors = 0 [set utilities-e replace-item 8 utilities-e 0]
    ]
    if strategy = "S5" or strategy = "S6" [set utilities-e (list c2 c2 ( c2 - c1) ( c2 - c1) 0 0 (- c1 ) (- c1 ) (- c1 + c2 / 2))]
    if (strategy = "S7" or strategy = "S8")[
      set utilities-e ( list ( c1 + c2 ) ( c1 + c2 )  c2 c2 c1 c1 0 0 0)
      if estimate-food-neighbors = 0 [set utilities-e replace-item 8 utilities-e c2]
    ]
    if strategy = "S9"[
      if estimate-food-neighbors = 1 [set utilities-e (list ( c1 + c2 ) ( c1 + c2 ) c2 c2 c1 c1 0 0 0)]
      if estimate-food-neighbors = 0 [set utilities-e (list c1 c1 0 0 ( c1 - c2 ) ( c1 - c2) (- c2) (- c2) 0)]
    ]
    set utilities-e (map + (map [i -> i * Es] utilities-p) utilities-e)
    ;; utilities of social needs
    set utilities-s map [i -> abs(min-sat-e - energy - i) - abs(min-sat-e - energy)] utilities-e
    ;; normalization of utilities
    set utilities-p map [i -> (i + 1) / 2 ] utilities-p
    set utilities-e map [i -> (i - c1 - c2 - Es) / 2 * (c1 + c2 + Es) ] utilities-e
    set utilities-s map [i -> (i - c1 - c2 - Es) / 2 * (c1 + c2 + Es) ] utilities-s
end

to update-strategy
  if rule = "optimizing" or rule = "inquiring" [
    calculate-utilities
  ]
  if rule = "optimizing" [
    let tt max (map + utilities-p utilities-e utilities-s)
    let tidx position tt (map + utilities-p utilities-e utilities-s)
    if needs = "only-existential" [
      set tt max utilities-e
      set tidx position tt utilities-e
    ]

    let prev-s strategy
    if tidx = 0 [set strategy "S1"]
    if tidx = 1 [set strategy "S2"]
    if tidx = 2 [set strategy "S3"]
    if tidx = 3 [set strategy "S4"]
    if tidx = 4 [set strategy "S5"]
    if tidx = 5 [set strategy "S6"]
    if tidx = 6 [set strategy "S7"]
    if tidx = 7 [set strategy "S8"]
    if tidx = 8 [set strategy "S9"]
    ;if prev-s != strategy [
      ;set n-alpha 1
      ;set n-action 1
      ;set dE-estimate 0
      ;set dE-variance 0]
  ]
  if rule = "inquiring" or rule = "imitation" [
    set-pool-of-strategies
  ]
  if rule = "inquiring"[

    let idx-list []
    if member? "S1" pool-of-strategies [set idx-list fput 0 idx-list]
    if member? "S2" pool-of-strategies [set idx-list fput 1 idx-list]
    if member? "S3" pool-of-strategies [set idx-list fput 2 idx-list]
    if member? "S4" pool-of-strategies [set idx-list fput 3 idx-list]
    if member? "S5" pool-of-strategies [set idx-list fput 4 idx-list]
    if member? "S6" pool-of-strategies [set idx-list fput 5 idx-list]
    if member? "S7" pool-of-strategies [set idx-list fput 6 idx-list]
    if member? "S8" pool-of-strategies [set idx-list fput 7 idx-list]
    if member? "S9" pool-of-strategies [set idx-list fput 8 idx-list]
    set idx-list remove-duplicates idx-list

    let idx-utilities map [i -> item i (map + utilities-p utilities-e utilities-s)] idx-list

    if needs = "only-existential" [
        set idx-utilities map [i -> item i utilities-e] idx-list
    ]

    let tt max idx-utilities
    let tidx item (position tt idx-utilities) idx-list

    if tidx = 0 [set strategy "S1"]
    if tidx = 1 [set strategy "S2"]
    if tidx = 2 [set strategy "S3"]
    if tidx = 3 [set strategy "S4"]
    if tidx = 4 [set strategy "S5"]
    if tidx = 5 [set strategy "S6"]
    if tidx = 6 [set strategy "S7"]
    if tidx = 7 [set strategy "S8"]
    if tidx = 8 [set strategy "S9"]

    ;if prev-s != strategy [
      ;set n-alpha 1
      ;set n-action 1
      ;set dE-estimate 0
      ;set dE-variance 0]
  ]
  if rule = "imitation" [
    let prev-s strategy
    set strategy one-of pool-of-strategies
    ;if prev-s != strategy [
      ;set n-alpha 1
      ;set n-action 1
      ;set dE-estimate 0
      ;set dE-variance 0]
  ]
  if tournament = "all" [set-color-person]

end
to update-strategy-accumulation
  ifelse rule = "imitation" or rule = "inquiring" [
    set-pool-of-strategies-accumulation
    set acc-limit one-of pool-of-strategies
    ifelse acc-limit = acc-limit-a [set color red][set color violet]
  ] [
  if rule = "optimizing" [
   set acc-limit acc-limit-b
   set color violet
  ]
  ]

end

to update-history
  if rule = "imitation" [set history-rule (word "I" history-rule) ]
  if rule = "repetition" [set history-rule (word "R" history-rule) ]
  if rule = "inquiring" [set history-rule (word "N" history-rule) ]
  if rule = "optimizing" [set history-rule (word "O" history-rule) ]
  ifelse satisfied? [set history-sat (word "S" history-sat)][set history-sat (word "U" history-sat)]
  ifelse certainty? [set history-u (word "C" history-u)][set history-u (word "U" history-u)]
end

to set-color-person
 if strategy = "S1" [set color black]
    if strategy = "S2" [set color gray]
    if strategy = "S3" [set color red]
    if strategy = "S4" [set color orange]
    if strategy = "S5" [set color brown]
    if strategy = "S6" [set color yellow]
    if strategy = "S7" [set color cyan]
    if strategy = "S8" [set color green]
    if strategy = "S9" [set color blue]
end

to set-pool-of-strategies
  if member? strategy  ["S1" "S2" "S5" "S6"] [
       set pool-of-strategies remove 0 ([strategy] of turtles-here)]
  if member? strategy  ["S3" "S4" "S7" "S8" "S9"] [
      set pool-of-strategies remove 0 ([strategy] of turtles-on (patch-set patch-here neighbors))]
end

to set-pool-of-strategies-accumulation

  if rule = "imitation" [
    if member? strategy  ["S1" "S2" "S5" "S6"] [
       set pool-of-strategies remove 0 ([acc-limit] of turtles-here)]
    if member? strategy  ["S3" "S4" "S7" "S8" "S9"] [
      set pool-of-strategies remove 0 ([acc-limit] of turtles-on (patch-set patch-here neighbors))]
  ]
  if rule = "inquiring" [
    if member? strategy  ["S1" "S2" "S5" "S6"] [
      set pool-of-strategies remove 0 ([acc-limit] of (turtles-here with-max [energy]))]
    if member? strategy  ["S3" "S4" "S7" "S8" "S9"] [
      set pool-of-strategies remove 0 ([acc-limit] of ((turtles-on (patch-set patch-here neighbors)) with-max [energy]))
    ]
  ]

end
to set-famine-abundance
   ifelse number-cycles < final-cycle or not final-abundance-stage [
   ifelse season-time <= time-abundance-t [
      ask patches [set xpgrow p-grow-abundance]
     ][
      ask patches [set xpgrow p-grow-famine]
     ]
  ][
    ask patches [set xpgrow p-grow-abundance]
  ]
end

to reproduce
  if energy > Emax [
    set energy energy / 2
    ask patch-here [sprout-persons 1]
  ]
end
to-report calculate-hypothetical-satisfaction [hypothetical-strategy]

  report 0
end

to death     ;; turtle procedure: die if you run out of energy
  if energy <= 0 [ die ]
end

to set-globals ;; observer procedure
  ask patches with [not food-here?][set tag tag + 1]
  ;; CONSUMAT outputs
  set global-sat-e mean [sat-e] of persons
  set global-sat-p mean [sat-p] of persons
  set global-sat-s mean [sat-s] of persons
  set rate-satisfaction count persons with [satisfied?] / count persons
  set global-uncertainty mean [uncertainty] of persons
  set rate-uncertainty count persons with [not certainty?] / count persons
  ;; population outputs
  set pop count persons
  set pop1 count persons with [strategy = "S1"] / pop
  set pop2 count persons with [strategy = "S2"] / pop
  set pop3 count persons with [strategy = "S3"] / pop
  set pop4 count persons with [strategy = "S4"] / pop
  set pop5 count persons with [strategy = "S5"] / pop
  set pop6 count persons with [strategy = "S6"] / pop
  set pop7 count persons with [strategy = "S7"] / pop
  set pop8 count persons with [strategy = "S8"] / pop
  set pop9 count persons with [strategy = "S9"] / pop
  set pop-rep count persons with [rule = "repetition"] / pop
  set pop-imit count persons with [rule = "imitation"] / pop
  set pop-inq count persons with [rule = "inquiring"] / pop
  set pop-opt count persons with [rule = "optimizing"] / pop
  ;; energy
  set av-energy mean [energy] of persons
  set e1 ifelse-value any? persons with [strategy = "S1"][mean [energy] of persons with [strategy = "S1"]][0]
  set e2 ifelse-value any? persons with [strategy = "S2"][mean [energy] of persons with [strategy = "S2"]][0]
  set e3 ifelse-value any? persons with [strategy = "S3"][mean [energy] of persons with [strategy = "S3"]][0]
  set e4 ifelse-value any? persons with [strategy = "S4"][mean [energy] of persons with [strategy = "S4"]][0]
  set e5 ifelse-value any? persons with [strategy = "S5"][mean [energy] of persons with [strategy = "S5"]][0]
  set e6 ifelse-value any? persons with [strategy = "S6"][mean [energy] of persons with [strategy = "S6"]][0]
  set e7 ifelse-value any? persons with [strategy = "S7"][mean [energy] of persons with [strategy = "S7"]][0]
  set e8 ifelse-value any? persons with [strategy = "S8"][mean [energy] of persons with [strategy = "S8"]][0]
  set e9 ifelse-value any? persons with [strategy = "S9"][mean [energy] of persons with [strategy = "S9"]][0]
  set e-rep ifelse-value any? persons with [rule = "repetition"][mean [energy] of persons with [rule = "repetition"]][0]
  set e-imit ifelse-value any? persons with [rule = "imitation"][mean [energy] of persons with [rule = "imitation"]][0]
  set e-inq ifelse-value any? persons with [rule = "inquiring"][mean [energy] of persons with [rule = "inquiring"]][0]
  set e-opt ifelse-value any? persons with [rule = "optimizing"][mean [energy] of persons with [rule = "optimizing"]][0]

  ;; accumulation tournament

  set pop-acc-b count persons with [acc-limit = acc-limit-b]
  set pop-acc-a count persons with [acc-limit = acc-limit-a]
  set en-acc-b ifelse-value any? persons with [acc-limit = acc-limit-b][mean [energy] of persons with [acc-limit = acc-limit-b]][0]
  set en-acc-a ifelse-value any? persons with [acc-limit = acc-limit-a][mean [energy] of persons with [acc-limit = acc-limit-a]][0]


end
;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
; for simulations
to set-for-sims
  set treg round(1.0 / p-grow)
end

to write-file-history
    ask persons [
      file-open "history_register.csv"
      ;file-print (word p-grow "," ticks "," self "," strategy "," history-rule "," history-sat "," history-u)
      file-print (word p-grow "," ticks "," self "," strategy ","pool-of-strategies","energy)
      file-close
    ]
end
;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
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@#$#@#$#@
## WHAT IS IT?

This agent-based model aims to represent the cognitive dynamics on decision-making when agents take decisions on food consumption and how this depends on the richness of the environment which is a discrete grid of cells with energetic sources. An agent makes three binary decisions at a time step: to attempt to eat the sources on her current cell, to actively perceive her environment paying an energetic cost and to displace herself to a contiguous cell. These three decisions constitute an strategy and represent a plan but not the actual result that the agent gets. The agent deals with external and internal factors out of her control as the lack of food, the competition or the difficulties to move across the grid. To the eight possible combination of decision outputs we include an extra one which consists in attempting to eat, perceiving the environment seeking for food and moving if and only if sources are found. Agent's strategies are subject to change depending on agent's cognitive rules (or heuristics) which can be one of four: The repetition of the strategy, the imitation of any of the strategies observed in other agents, the selection of the best strategy observed in other agents by inquiring, or the selection of the best strategy by considering all of them (optimization). This set of cognitive rules are taken from the CONSUMAT model developed by Jager and Janssen (2002,2012). Decision rules can change according the satisfaction of needs in the agent and the uncertainty on the fulfillment of them. The original set of needs include existential, personality and social needs. In the code is possible to select to sets of needs: The original set of thee needs, or only the existential need. 
The environmental factors considered in the model are the energy that an agent can obtain exploiting a cell and the probability of regeneration of sources on empty cells. Is also possible to select if some portion of cells are permanently empty or full of energetic sources or if the regeneration occurs in a deterministic way, if is stochastic but constant, random on time, random on space or random on both.
The internal parameters of the agents define the way they execute the movement, the basal metabolism and the energetic cost of intentional actions. is also possible to create different "tournaments" to test agent's strategies and rules (this include different methods to store energy).
At time zero, the environment is set with one source of food on each cell and an initial population of agents distributed one on a different cell, with an specific distribution of rules and strategies and a diversity of tolerances to fail on need accomplishment. Each agent execute her strategy, evaluates her output, use her rule to select the following strategy and, if is the case, modify the current rule. If an agent reach zero energy, she is removed from the system. After agents perform all their actions and upgrades, each cell regenerates its energetic sources with a given probability and type of regeneration. 

## HOW TO USE IT

The system is tuned with the parameters listed below:

1. CostP: The energetic cost of active perception. It is a constant number.
2. Es: The energy provided by each energetic source.
3. Cm: Cost of moving. It is a constant number which is multiplied by the current energy of the agent.
4. Mb: Basal metabolism. It is a constant number which is multiplied by the maximum energy that every egent have ever reach.
5. p-grow: regeneration probability. It is a constant number which represents the probability to regenerate energetic sources in active sources if these are empty.
6. regeneration-type:This parameter specify how the cells regenerate. If is "deterministic" then every cell regenerates in an strict time t = 1 / p-grow. If is "oasis" then a portion equals to p-oasis is set to a probability of regeneration equal to p-grow while the remaining cells are set to a probability of regeneration of 0. If is "vacancies" then a portion equals to p-oasis is set to a probability of regeneration equal to p-grow while the remaining cells are set to a probability of regeneration of 1.
7. decision-rule-mode: If is equal to "dynamic", decision rules can change. Otherwise, ("one-rule") it is static.
8. one-rule: If decision-rule-mode is set as "one-rule", this selector set that unique static decision rule.
9. tournament: This selector specify many ways to compare the development of strategies at the beginning of the simulation, as if the strategies were competing between. If is equal to "all" every strategy is included on the initial configuration. If is "binary" only two strategies are introduced in the initial stage: initial-strategy-a and initial-strategy-b, each one with half of the initial population. If tournament is set to "none", only one random initial strategy is set at the starting point. 
If tournament is set to "accumulation" the tournament compares agents agents that accumulate energy and agents that only use energy for the immediate performed actions and waste the rest of the consumend energy. In this case, all the agents start with initial-strategy-a. If the tournament is set as "self-rationing-accumulation", the same as in "accumulation" happens, with the difference that the agent which does not accumulate extra energy, leave the remaing energetic sources on cell to other agents to use them. If tournament is equal to "accumulation-limit-binary" agents with different limit on accumulation of energy are compared. This limits are set with the variables acc-limit-a and acc-limit-b.  
10. sources-distribution: This selector set how sources are distributed on the environment by distributing the values of the probability of regeneration on cells. It can be constant, random on space, time or both. In all this cases the average regeneration time is fixed to the value pgrow.
11. movement-type: This selector determines if the lack or excess of energy alters the way an agent moves. If is "composed", an agent with an internal energy less than 2 or bigger than Emax would have considerably less chances to move.
12. metabolism-type. If is "lineal", every agent have a basal metabolim wich is lineal with the internal energy. If is "constant" the basal metabolism is the same for every agent. If is "constant-lineal" the metabolism is constant for agents with low internal energy but lineal for agents with internal energy above a thresehold of Emax. If is "accumulation-punishment", the metabolism is lineal with respect the maximum level of energy ever reach by the agent.
13. pop-total: Is the initial population.
14. famine-abundance: If famine-abundance is On, the environment experience a cycle of 
abundance where the probability of regeneration is set to "p-grow-abundance" (between 
0.8 and 1.0). Then the environment experience a cycle of famine where the probability of regeneration is set to "p_grow_famine"  (between 0.0 and 0.2). The duration of these 
periods can be fixed to the values "time-famine" and "time-abundance", of can be an 
stochastic variable, if "season-stochastic" is on, from a normal distribution centered
in the values "time-famine" and "time-abundance", and a standard deviation specified on
"std-season". If "final-abundance-stage" is on, the system ends in a permanent abundance
season after a number of cycles of abundance/famine equals to the variable "final-cycle". 

Click the SETUP button to setup agents and sources.

Click the GO button to start the simulation.

## THINGS TO NOTICE

The model allows different settings to make experiments on the environment features, the competition between strategies, the dynamics of rules, etc.

The set of strategies has 9 different strategies for completeness. But when the systems arrive to mature stages that look somehow stationary, in most scenarios, only few strategies survive. 

## THINGS TO TRY

Try to identify which conditions favour an specific strategy in binary tournaments. This can be done using strategies that differ in only one of the three decisions (for example S6 vs S8). Test if strategy S9 is, as assumed, a more rational strategy than S8.

Track the distribution of strategies on diferent environmental conditions, and see what happens when this conditions change abruptly.

To test the heuristic dynamic, the decision-rule-mode must be "dynamic" and tournament must be "all".

## RELATED MODELS

This model was created with the NetLogo Rabbits Grass Weeds model created by
Uri Wilensky as primary template.

* Wilensky, U. (2001).  NetLogo Rabbits Grass Weeds model.  http://ccl.northwestern.edu/netlogo/models/RabbitsGrassWeeds.  Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston, IL.

The way in which needs and heuristics are defined are based on the CONSUMAT agent model described by Jager and Janssen (2002,2012).

* Jager, Wander & Janssen, Marco. (2002). The need for and development of behaviourally realistic agents. InInternationalWorkshop on Multi-Agent Systems and Agent-Based Simulation, (pp. 36–49). Springer.

* W. Jager and M. Janssen, “An updated conceptual framework for integrated modeling of humandecision making: The consumat ii,” inpaper for workshop complexity in the Real World@ ECCS,pp. 1–18, 2012.

Other models that use the CONSUMAT approach are listed below

* Janssen, Marco (2020, January 14). “Consumats on a network” (Version 1.0.0). CoMSES Computational Model Library. Retrieved from: https://www.comses.net/codebases/eed5f6aa-2b55-4f4c-9585-b4345345f82c/releases/1.0.0/

* Kalvas, František, Kudrnáčová, Michaela (2019, September 30). “Waste separation in small-world networks” (Version 1.0.0). CoMSES Computational Model Library. Retrieved from: https://www.comses.net/codebases/983e9017-f0da-47ae-ba99-d587b7444cbf/releases/1.0.0/

* Van Oel, Pieter (2015, April 13). “CONSERVAT” (Version 1.0.0). CoMSES Computational Model Library. Retrieved from: https://doi.org/10.25937/gtjr-3w27

## HOW TO CITE

If you mention this model or the NetLogo software in a publication, we ask that you include the citations below.

For the model itself:

* Batta, Erasmo & Stephens, Christopher (2020, July 1). "CONSUMAT agent system model of heuristic dynamics". CoMSES  Computational Model Library. 

Please cite the NetLogo software as:

* Wilensky, U. (1999). NetLogo. http://ccl.northwestern.edu/netlogo/. Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston, IL.

## COPYRIGHT AND LICENSE

Copyright 2001 Uri Wilensky.
![CC BY-NC-SA 3.0](http://ccl.northwestern.edu/images/creativecommons/byncsa.png)

This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License.  To view a copy of this license, visit https://creativecommons.org/licenses/by-nc-sa/3.0/ or send a letter to Creative Commons, 559 Nathan Abbott Way, Stanford, California 94305, USA.

Commercial licenses are also available. To inquire about commercial licenses, please contact Uri Wilensky at uri@northwestern.edu.

This model was created as part of the projects: PARTICIPATORY SIMULATIONS: NETWORK-BASED DESIGN FOR SYSTEMS LEARNING IN CLASSROOMS and/or INTEGRATED SIMULATION AND MODELING ENVIRONMENT. The project gratefully acknowledges the support of the National Science Foundation (REPP & ROLE programs) -- grant numbers REC #9814682 and REC-0126227.

<!-- 2001 -->
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@#$#@#$#@
NetLogo 6.1.1
@#$#@#$#@
@#$#@#$#@
@#$#@#$#@
<experiments>
  <experiment name="imitation_test1" repetitions="30" runMetricsEveryStep="true">
    <setup>setup</setup>
    <go>go</go>
    <timeLimit steps="500"/>
    <metric>pop</metric>
    <metric>pop1</metric>
    <metric>pop2</metric>
    <metric>pop3</metric>
    <metric>pop4</metric>
    <metric>pop5</metric>
    <metric>pop6</metric>
    <metric>pop7</metric>
    <metric>pop8</metric>
    <metric>pop9</metric>
    <metric>av-energy</metric>
    <metric>e1</metric>
    <metric>e2</metric>
    <metric>e3</metric>
    <metric>e4</metric>
    <metric>e5</metric>
    <metric>e6</metric>
    <metric>e7</metric>
    <metric>e8</metric>
    <metric>e9</metric>
    <metric>global-sat-e</metric>
    <metric>rate-satisfaction</metric>
    <metric>global-uncertainty</metric>
    <metric>rate-uncertainty</metric>
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    <enumeratedValueSet variable="Mb">
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  </experiment>
  <experiment name="accumulation-famine-abundance" repetitions="30" runMetricsEveryStep="true">
    <setup>setup</setup>
    <go>go</go>
    <timeLimit steps="500"/>
    <metric>pop</metric>
    <metric>pop-acc-a</metric>
    <metric>pop-acc-b</metric>
    <metric>av-energy</metric>
    <metric>en-acc-a</metric>
    <metric>en-acc-b</metric>
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      <value value="&quot;S4&quot;"/>
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      <value value="&quot;S9&quot;"/>
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      <value value="105"/>
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  <experiment name="accumulation-famine-abundance_2" repetitions="30" runMetricsEveryStep="true">
    <setup>setup</setup>
    <go>go</go>
    <timeLimit steps="500"/>
    <metric>pop</metric>
    <metric>pop-acc-a</metric>
    <metric>pop-acc-b</metric>
    <metric>av-energy</metric>
    <metric>en-acc-a</metric>
    <metric>en-acc-b</metric>
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  <experiment name="accumulation-famine-abundance_3" repetitions="30" runMetricsEveryStep="true">
    <setup>setup</setup>
    <go>go</go>
    <timeLimit steps="500"/>
    <metric>pop</metric>
    <metric>pop-acc-a</metric>
    <metric>pop-acc-b</metric>
    <metric>av-energy</metric>
    <metric>en-acc-a</metric>
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    <go>go</go>
    <timeLimit steps="500"/>
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    <metric>pop-acc-a</metric>
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    <metric>av-energy</metric>
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      <value value="&quot;S8&quot;"/>
      <value value="&quot;S9&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="movement-type">
      <value value="&quot;composed&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="p-oasis">
      <value value="1"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="history-record">
      <value value="false"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Es">
      <value value="2"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="tournament">
      <value value="&quot;accumulation-limit-binary&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="needs">
      <value value="&quot;only-existential&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="one-rule">
      <value value="&quot;repetition&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="p-grow">
      <value value="1"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="pop-total">
      <value value="1680"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="p-grow-famine">
      <value value="0.02"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="sources-distribution">
      <value value="&quot;constant&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="acc-limit-a">
      <value value="5"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="p-grow-abundance">
      <value value="0.9"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="famine-abundance">
      <value value="true"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="acc-limit-b">
      <value value="6"/>
      <value value="15"/>
      <value value="55"/>
      <value value="105"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-strategy-b">
      <value value="&quot;S2&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="eating-fraction">
      <value value="1"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="time-famine">
      <value value="80"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="metabolism-type">
      <value value="&quot;constant-lineal&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="CostP">
      <value value="0.01"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="decision-rule-mode">
      <value value="&quot;one-rule&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="regeneration-type">
      <value value="&quot;oasis&quot;"/>
    </enumeratedValueSet>
  </experiment>
  <experiment name="famine_abundance_7_8" repetitions="30" runMetricsEveryStep="true">
    <setup>setup</setup>
    <go>go</go>
    <timeLimit steps="500"/>
    <metric>pop</metric>
    <metric>pop-acc-a</metric>
    <metric>pop-acc-b</metric>
    <metric>av-energy</metric>
    <metric>en-acc-a</metric>
    <metric>en-acc-b</metric>
    <enumeratedValueSet variable="Cm">
      <value value="0.02"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="season-stochastic">
      <value value="true"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="time-abundance">
      <value value="80"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="E0">
      <value value="2"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Emax">
      <value value="20"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="p-oasis">
      <value value="1"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Mb">
      <value value="0.01"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="movement-type">
      <value value="&quot;composed&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-strategy-a">
      <value value="&quot;S4&quot;"/>
      <value value="&quot;S8&quot;"/>
      <value value="&quot;S9&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="history-record">
      <value value="false"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Es">
      <value value="2"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="one-rule">
      <value value="&quot;repetition&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="needs">
      <value value="&quot;only-existential&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="tournament">
      <value value="&quot;accumulation-limit-binary&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="p-grow">
      <value value="1"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="pop-total">
      <value value="1680"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="p-grow-famine">
      <value value="0.02"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="sources-distribution">
      <value value="&quot;constant&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="acc-limit-a">
      <value value="5"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="p-grow-abundance">
      <value value="0.9"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="famine-abundance">
      <value value="true"/>
      <value value="false"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="acc-limit-b">
      <value value="105"/>
      <value value="55"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-strategy-b">
      <value value="&quot;S2&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="eating-fraction">
      <value value="1"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="time-famine">
      <value value="80"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="metabolism-type">
      <value value="&quot;constant-lineal&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="CostP">
      <value value="0.01"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="decision-rule-mode">
      <value value="&quot;one-rule&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="regeneration-type">
      <value value="&quot;oasis&quot;"/>
    </enumeratedValueSet>
  </experiment>
  <experiment name="famine_abundance_250_125" repetitions="30" runMetricsEveryStep="true">
    <setup>setup</setup>
    <go>go</go>
    <timeLimit steps="500"/>
    <metric>pop</metric>
    <metric>pop-acc-a</metric>
    <metric>pop-acc-b</metric>
    <metric>av-energy</metric>
    <metric>en-acc-a</metric>
    <metric>en-acc-b</metric>
    <enumeratedValueSet variable="Cm">
      <value value="0.02"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="season-stochastic">
      <value value="true"/>
      <value value="false"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="time-abundance">
      <value value="125"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="E0">
      <value value="2"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Emax">
      <value value="20"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="p-oasis">
      <value value="1"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-strategy-a">
      <value value="&quot;S4&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="movement-type">
      <value value="&quot;composed&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Mb">
      <value value="0.01"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="history-record">
      <value value="false"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Es">
      <value value="2"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="tournament">
      <value value="&quot;accumulation-limit-binary&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="needs">
      <value value="&quot;only-existential&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="one-rule">
      <value value="&quot;repetition&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="p-grow">
      <value value="0.001"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="pop-total">
      <value value="1680"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="p-grow-famine">
      <value value="0.02"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="sources-distribution">
      <value value="&quot;constant&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="acc-limit-a">
      <value value="55"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="p-grow-abundance">
      <value value="0.9"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="famine-abundance">
      <value value="true"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="acc-limit-b">
      <value value="105"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-strategy-b">
      <value value="&quot;S2&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="eating-fraction">
      <value value="1"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="time-famine">
      <value value="250"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="CostP">
      <value value="0.01"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="metabolism-type">
      <value value="&quot;constant-lineal&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="decision-rule-mode">
      <value value="&quot;one-rule&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="regeneration-type">
      <value value="&quot;oasis&quot;"/>
    </enumeratedValueSet>
  </experiment>
  <experiment name="famine_abundance_x" repetitions="30" runMetricsEveryStep="true">
    <setup>setup</setup>
    <go>go</go>
    <timeLimit steps="500"/>
    <metric>pop</metric>
    <metric>pop-acc-a</metric>
    <metric>pop-acc-b</metric>
    <metric>av-energy</metric>
    <metric>en-acc-a</metric>
    <metric>en-acc-b</metric>
    <enumeratedValueSet variable="Cm">
      <value value="0.02"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="season-stochastic">
      <value value="false"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="time-abundance">
      <value value="125"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="E0">
      <value value="2"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Emax">
      <value value="20"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="p-oasis">
      <value value="1"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-strategy-a">
      <value value="&quot;S4&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="movement-type">
      <value value="&quot;composed&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Mb">
      <value value="0.01"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="history-record">
      <value value="false"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Es">
      <value value="2"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="tournament">
      <value value="&quot;accumulation-limit-binary&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="needs">
      <value value="&quot;only-existential&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="one-rule">
      <value value="&quot;repetition&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="p-grow">
      <value value="0.3139"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="pop-total">
      <value value="1680"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="p-grow-famine">
      <value value="0.02"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="sources-distribution">
      <value value="&quot;constant&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="acc-limit-a">
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    </enumeratedValueSet>
    <enumeratedValueSet variable="p-grow-abundance">
      <value value="0.9"/>
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    <enumeratedValueSet variable="famine-abundance">
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    </enumeratedValueSet>
    <enumeratedValueSet variable="acc-limit-b">
      <value value="105"/>
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    <enumeratedValueSet variable="initial-strategy-b">
      <value value="&quot;S2&quot;"/>
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    <enumeratedValueSet variable="eating-fraction">
      <value value="1"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="time-famine">
      <value value="250"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="CostP">
      <value value="0.01"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="metabolism-type">
      <value value="&quot;constant-lineal&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="decision-rule-mode">
      <value value="&quot;one-rule&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="regeneration-type">
      <value value="&quot;oasis&quot;"/>
    </enumeratedValueSet>
  </experiment>
  <experiment name="inquiring_test1" repetitions="30" runMetricsEveryStep="true">
    <setup>setup</setup>
    <go>go</go>
    <timeLimit steps="500"/>
    <metric>pop</metric>
    <metric>pop1</metric>
    <metric>pop2</metric>
    <metric>pop3</metric>
    <metric>pop4</metric>
    <metric>pop5</metric>
    <metric>pop6</metric>
    <metric>pop7</metric>
    <metric>pop8</metric>
    <metric>pop9</metric>
    <metric>av-energy</metric>
    <metric>e1</metric>
    <metric>e2</metric>
    <metric>e3</metric>
    <metric>e4</metric>
    <metric>e5</metric>
    <metric>e6</metric>
    <metric>e7</metric>
    <metric>e8</metric>
    <metric>e9</metric>
    <metric>global-sat-e</metric>
    <metric>rate-satisfaction</metric>
    <metric>global-uncertainty</metric>
    <metric>rate-uncertainty</metric>
    <enumeratedValueSet variable="Cm">
      <value value="0.02"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="season-stochastic">
      <value value="false"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="time-abundance">
      <value value="125"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="E0">
      <value value="2"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Emax">
      <value value="20"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="p-oasis">
      <value value="1"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-strategy-a">
      <value value="&quot;S4&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="movement-type">
      <value value="&quot;composed&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Mb">
      <value value="0.01"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="history-record">
      <value value="false"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Es">
      <value value="2"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="one-rule">
      <value value="&quot;inquiring&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="needs">
      <value value="&quot;only-existential&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="tournament">
      <value value="&quot;all&quot;"/>
    </enumeratedValueSet>
    <steppedValueSet variable="p-grow" first="0.01" step="0.01" last="1"/>
    <enumeratedValueSet variable="pop-total">
      <value value="1680"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="p-grow-famine">
      <value value="0.02"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="sources-distribution">
      <value value="&quot;constant&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="acc-limit-a">
      <value value="55"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="p-grow-abundance">
      <value value="0.9"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="famine-abundance">
      <value value="false"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="acc-limit-b">
      <value value="105"/>
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    <enumeratedValueSet variable="initial-strategy-b">
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    </enumeratedValueSet>
    <enumeratedValueSet variable="eating-fraction">
      <value value="1"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="time-famine">
      <value value="250"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="metabolism-type">
      <value value="&quot;constant-lineal&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="CostP">
      <value value="0.01"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="decision-rule-mode">
      <value value="&quot;one-rule&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="regeneration-type">
      <value value="&quot;oasis&quot;"/>
    </enumeratedValueSet>
  </experiment>
  <experiment name="famine_abundance_250_125_2" repetitions="30" runMetricsEveryStep="true">
    <setup>setup</setup>
    <go>go</go>
    <timeLimit steps="1000"/>
    <metric>pop</metric>
    <metric>pop-acc-a</metric>
    <metric>pop-acc-b</metric>
    <metric>av-energy</metric>
    <metric>en-acc-a</metric>
    <metric>en-acc-b</metric>
    <enumeratedValueSet variable="Cm">
      <value value="0.02"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="season-stochastic">
      <value value="true"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="time-abundance">
      <value value="125"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="E0">
      <value value="2"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Emax">
      <value value="20"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="p-oasis">
      <value value="1"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-strategy-a">
      <value value="&quot;S4&quot;"/>
      <value value="&quot;S2&quot;"/>
      <value value="&quot;S6&quot;"/>
      <value value="&quot;S8&quot;"/>
      <value value="&quot;S9&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="movement-type">
      <value value="&quot;composed&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Mb">
      <value value="0.01"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="history-record">
      <value value="false"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Es">
      <value value="2"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="tournament">
      <value value="&quot;accumulation-limit-binary&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="needs">
      <value value="&quot;only-existential&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="one-rule">
      <value value="&quot;repetition&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="p-grow">
      <value value="0.001"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="pop-total">
      <value value="1680"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="p-grow-famine">
      <value value="0.02"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="sources-distribution">
      <value value="&quot;constant&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="acc-limit-a">
      <value value="55"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="p-grow-abundance">
      <value value="0.9"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="famine-abundance">
      <value value="true"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="acc-limit-b">
      <value value="105"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-strategy-b">
      <value value="&quot;S2&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="eating-fraction">
      <value value="1"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="time-famine">
      <value value="250"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="CostP">
      <value value="0.01"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="metabolism-type">
      <value value="&quot;constant-lineal&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="decision-rule-mode">
      <value value="&quot;one-rule&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="regeneration-type">
      <value value="&quot;oasis&quot;"/>
    </enumeratedValueSet>
  </experiment>
  <experiment name="acc_vs_non_acc" repetitions="30" runMetricsEveryStep="true">
    <setup>setup</setup>
    <go>go</go>
    <timeLimit steps="500"/>
    <metric>pop-acc-a</metric>
    <metric>pop-acc-b</metric>
    <metric>en-acc-a</metric>
    <metric>en-acc-b</metric>
    <enumeratedValueSet variable="Cm">
      <value value="0.02"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="season-stochastic">
      <value value="false"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="time-abundance">
      <value value="125"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="E0">
      <value value="2"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Emax">
      <value value="20"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="p-oasis">
      <value value="1"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Mb">
      <value value="0.01"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="movement-type">
      <value value="&quot;composed&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-strategy-a">
      <value value="&quot;S2&quot;"/>
      <value value="&quot;S4&quot;"/>
      <value value="&quot;S6&quot;"/>
      <value value="&quot;S8&quot;"/>
      <value value="&quot;S9&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="history-record">
      <value value="false"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Es">
      <value value="2"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="one-rule">
      <value value="&quot;repetition&quot;"/>
      <value value="&quot;imitation&quot;"/>
      <value value="&quot;inquiring&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="tournament">
      <value value="&quot;accumulation-limit-binary&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="needs">
      <value value="&quot;only-existential&quot;"/>
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    <enumeratedValueSet variable="p-grow-famine">
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    <enumeratedValueSet variable="p-grow-abundance">
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    <enumeratedValueSet variable="famine-abundance">
      <value value="false"/>
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      <value value="105"/>
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    <enumeratedValueSet variable="CostP">
      <value value="0.01"/>
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    <enumeratedValueSet variable="metabolism-type">
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  <experiment name="season_1" repetitions="30" runMetricsEveryStep="true">
    <setup>setup</setup>
    <go>go</go>
    <timeLimit steps="500"/>
    <metric>pop-acc-a</metric>
    <metric>pop-acc-b</metric>
    <metric>en-acc-a</metric>
    <metric>en-acc-b</metric>
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      <value value="true"/>
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    <enumeratedValueSet variable="Mb">
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    <enumeratedValueSet variable="CostP">
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    <enumeratedValueSet variable="metabolism-type">
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      <value value="1"/>
      <value value="2"/>
      <value value="3"/>
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    <enumeratedValueSet variable="regeneration-type">
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  </experiment>
  <experiment name="famine_abundance_250_125_2" repetitions="30" runMetricsEveryStep="true">
    <setup>setup</setup>
    <go>go</go>
    <timeLimit steps="1000"/>
    <metric>pop</metric>
    <metric>pop-acc-a</metric>
    <metric>pop-acc-b</metric>
    <metric>av-energy</metric>
    <metric>en-acc-a</metric>
    <metric>en-acc-b</metric>
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      <value value="0.02"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="season-stochastic">
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    <enumeratedValueSet variable="time-abundance">
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    <enumeratedValueSet variable="E0">
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    <enumeratedValueSet variable="Emax">
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    <enumeratedValueSet variable="p-oasis">
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      <value value="&quot;S4&quot;"/>
      <value value="&quot;S6&quot;"/>
      <value value="&quot;S8&quot;"/>
      <value value="&quot;S9&quot;"/>
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    <enumeratedValueSet variable="Mb">
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  <experiment name="famine_abundance_250_125_3" repetitions="30" runMetricsEveryStep="true">
    <setup>setup</setup>
    <go>go</go>
    <timeLimit steps="1000"/>
    <metric>pop</metric>
    <metric>pop-acc-a</metric>
    <metric>pop-acc-b</metric>
    <metric>av-energy</metric>
    <metric>en-acc-a</metric>
    <metric>en-acc-b</metric>
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  <experiment name="famine_abundance_250_125_4" repetitions="30" runMetricsEveryStep="true">
    <setup>setup</setup>
    <go>go</go>
    <timeLimit steps="1000"/>
    <metric>pop</metric>
    <metric>pop-acc-a</metric>
    <metric>pop-acc-b</metric>
    <metric>av-energy</metric>
    <metric>en-acc-a</metric>
    <metric>en-acc-b</metric>
    <enumeratedValueSet variable="Cm">
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    <enumeratedValueSet variable="season-stochastic">
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    <enumeratedValueSet variable="E0">
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    <enumeratedValueSet variable="Emax">
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    <enumeratedValueSet variable="p-oasis">
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      <value value="&quot;S4&quot;"/>
      <value value="&quot;S6&quot;"/>
      <value value="&quot;S8&quot;"/>
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  <experiment name="famine_abundance_250_125_5" repetitions="30" runMetricsEveryStep="true">
    <setup>setup</setup>
    <go>go</go>
    <timeLimit steps="1000"/>
    <metric>pop</metric>
    <metric>pop-acc-a</metric>
    <metric>pop-acc-b</metric>
    <metric>av-energy</metric>
    <metric>en-acc-a</metric>
    <metric>en-acc-b</metric>
    <metric>time-abundance-t</metric>
    <metric>time-famine-t</metric>
    <enumeratedValueSet variable="Cm">
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      <value value="&quot;imitation&quot;"/>
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  <experiment name="fam_ab_es_1" repetitions="30" runMetricsEveryStep="true">
    <setup>setup</setup>
    <go>go</go>
    <timeLimit steps="1000"/>
    <metric>pop-acc-a</metric>
    <metric>pop-acc-b</metric>
    <metric>en-acc-a</metric>
    <metric>en-acc-b</metric>
    <metric>time-abundance-t</metric>
    <metric>time-famine-t</metric>
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    </enumeratedValueSet>
    <enumeratedValueSet variable="tournament">
      <value value="&quot;accumulation-limit-binary&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="one-rule">
      <value value="&quot;repetition&quot;"/>
      <value value="&quot;imitation&quot;"/>
      <value value="&quot;inquiring&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="needs">
      <value value="&quot;only-existential&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="p-grow">
      <value value="0.001"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="pop-total">
      <value value="1680"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="p-grow-famine">
      <value value="0.02"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="sources-distribution">
      <value value="&quot;constant&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="acc-limit-a">
      <value value="55"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="p-grow-abundance">
      <value value="0.9"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="famine-abundance">
      <value value="true"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="acc-limit-b">
      <value value="105"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-strategy-b">
      <value value="&quot;S4&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="eating-fraction">
      <value value="1"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="time-famine">
      <value value="35"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="metabolism-type">
      <value value="&quot;constant-lineal&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="CostP">
      <value value="0.01"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="decision-rule-mode">
      <value value="&quot;one-rule&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="std-season">
      <value value="0"/>
      <value value="5"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="regeneration-type">
      <value value="&quot;all-patches&quot;"/>
    </enumeratedValueSet>
  </experiment>
  <experiment name="estrategias_ab60fam40" repetitions="30" runMetricsEveryStep="true">
    <setup>setup</setup>
    <go>go</go>
    <timeLimit steps="1000"/>
    <metric>pop-acc-a</metric>
    <metric>pop-acc-b</metric>
    <metric>en-acc-a</metric>
    <metric>en-acc-b</metric>
    <enumeratedValueSet variable="Cm">
      <value value="0.02"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="season-stochastic">
      <value value="true"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="time-abundance">
      <value value="60"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="E0">
      <value value="2"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Emax">
      <value value="20"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="p-oasis">
      <value value="1"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-strategy-a">
      <value value="&quot;S2&quot;"/>
      <value value="&quot;S4&quot;"/>
      <value value="&quot;S6&quot;"/>
      <value value="&quot;S8&quot;"/>
      <value value="&quot;S9&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="movement-type">
      <value value="&quot;composed&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Mb">
      <value value="0.05"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="history-record">
      <value value="false"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Es">
      <value value="3"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="one-rule">
      <value value="&quot;repetition&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="tournament">
      <value value="&quot;accumulation-limit-binary&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="needs">
      <value value="&quot;only-existential&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="p-grow">
      <value value="0.001"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="pop-total">
      <value value="1680"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="p-grow-famine">
      <value value="0"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="sources-distribution">
      <value value="&quot;constant&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="acc-limit-a">
      <value value="55"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="p-grow-abundance">
      <value value="1"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="famine-abundance">
      <value value="true"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="acc-limit-b">
      <value value="105"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-strategy-b">
      <value value="&quot;S4&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="eating-fraction">
      <value value="1"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="time-famine">
      <value value="40"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="metabolism-type">
      <value value="&quot;constant-lineal&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="CostP">
      <value value="0.01"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="decision-rule-mode">
      <value value="&quot;one-rule&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="std-season">
      <value value="0"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="regeneration-type">
      <value value="&quot;all-patches&quot;"/>
    </enumeratedValueSet>
  </experiment>
  <experiment name="s_ab60fam40_imit" repetitions="30" runMetricsEveryStep="true">
    <setup>setup</setup>
    <go>go</go>
    <timeLimit steps="1000"/>
    <metric>pop-acc-a</metric>
    <metric>pop-acc-b</metric>
    <metric>en-acc-a</metric>
    <metric>en-acc-b</metric>
    <enumeratedValueSet variable="Cm">
      <value value="0.02"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="season-stochastic">
      <value value="true"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="time-abundance">
      <value value="60"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="E0">
      <value value="2"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Emax">
      <value value="20"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="p-oasis">
      <value value="1"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-strategy-a">
      <value value="&quot;S2&quot;"/>
      <value value="&quot;S4&quot;"/>
      <value value="&quot;S6&quot;"/>
      <value value="&quot;S8&quot;"/>
      <value value="&quot;S9&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="movement-type">
      <value value="&quot;composed&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Mb">
      <value value="0.05"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="history-record">
      <value value="false"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Es">
      <value value="3"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="one-rule">
      <value value="&quot;imitation&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="tournament">
      <value value="&quot;accumulation-limit-binary&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="needs">
      <value value="&quot;only-existential&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="p-grow">
      <value value="0.001"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="pop-total">
      <value value="1680"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="p-grow-famine">
      <value value="0"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="sources-distribution">
      <value value="&quot;constant&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="acc-limit-a">
      <value value="55"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="p-grow-abundance">
      <value value="1"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="famine-abundance">
      <value value="true"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="acc-limit-b">
      <value value="105"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-strategy-b">
      <value value="&quot;S4&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="eating-fraction">
      <value value="1"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="time-famine">
      <value value="40"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="metabolism-type">
      <value value="&quot;constant-lineal&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="CostP">
      <value value="0.01"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="decision-rule-mode">
      <value value="&quot;one-rule&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="std-season">
      <value value="0"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="regeneration-type">
      <value value="&quot;all-patches&quot;"/>
    </enumeratedValueSet>
  </experiment>
  <experiment name="s_ab60fam40_inq" repetitions="30" runMetricsEveryStep="true">
    <setup>setup</setup>
    <go>go</go>
    <timeLimit steps="1000"/>
    <metric>pop-acc-a</metric>
    <metric>pop-acc-b</metric>
    <metric>en-acc-a</metric>
    <metric>en-acc-b</metric>
    <enumeratedValueSet variable="Cm">
      <value value="0.02"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="season-stochastic">
      <value value="true"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="time-abundance">
      <value value="60"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="E0">
      <value value="2"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Emax">
      <value value="20"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="p-oasis">
      <value value="1"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-strategy-a">
      <value value="&quot;S2&quot;"/>
      <value value="&quot;S4&quot;"/>
      <value value="&quot;S6&quot;"/>
      <value value="&quot;S8&quot;"/>
      <value value="&quot;S9&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="movement-type">
      <value value="&quot;composed&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Mb">
      <value value="0.05"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="history-record">
      <value value="false"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Es">
      <value value="3"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="one-rule">
      <value value="&quot;inquiring&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="tournament">
      <value value="&quot;accumulation-limit-binary&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="needs">
      <value value="&quot;only-existential&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="p-grow">
      <value value="0.001"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="pop-total">
      <value value="1680"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="p-grow-famine">
      <value value="0"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="sources-distribution">
      <value value="&quot;constant&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="acc-limit-a">
      <value value="55"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="p-grow-abundance">
      <value value="1"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="famine-abundance">
      <value value="true"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="acc-limit-b">
      <value value="105"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-strategy-b">
      <value value="&quot;S4&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="eating-fraction">
      <value value="1"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="time-famine">
      <value value="40"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="metabolism-type">
      <value value="&quot;constant-lineal&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="CostP">
      <value value="0.01"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="decision-rule-mode">
      <value value="&quot;one-rule&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="std-season">
      <value value="0"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="regeneration-type">
      <value value="&quot;all-patches&quot;"/>
    </enumeratedValueSet>
  </experiment>
  <experiment name="period_std_S6_S9_1" repetitions="30" runMetricsEveryStep="true">
    <setup>setup</setup>
    <go>go</go>
    <timeLimit steps="1000"/>
    <metric>pop-acc-a</metric>
    <metric>pop-acc-b</metric>
    <metric>en-acc-a</metric>
    <metric>en-acc-b</metric>
    <metric>time-abundance-t</metric>
    <metric>time-famine-t</metric>
    <metric>season-time</metric>
    <metric>season-t</metric>
    <enumeratedValueSet variable="Cm">
      <value value="0.02"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="season-stochastic">
      <value value="true"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="time-abundance">
      <value value="60"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="E0">
      <value value="2"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Emax">
      <value value="20"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="p-oasis">
      <value value="1"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-strategy-a">
      <value value="&quot;S6&quot;"/>
      <value value="&quot;S9&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="movement-type">
      <value value="&quot;composed&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Mb">
      <value value="0.05"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="history-record">
      <value value="false"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Es">
      <value value="3"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="one-rule">
      <value value="&quot;repetition&quot;"/>
      <value value="&quot;imitation&quot;"/>
      <value value="&quot;inquiring&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="tournament">
      <value value="&quot;accumulation-limit-binary&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="needs">
      <value value="&quot;only-existential&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="p-grow">
      <value value="0.001"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="pop-total">
      <value value="1680"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="p-grow-famine">
      <value value="0"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="sources-distribution">
      <value value="&quot;constant&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="acc-limit-a">
      <value value="55"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="p-grow-abundance">
      <value value="1"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="famine-abundance">
      <value value="true"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="acc-limit-b">
      <value value="105"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-strategy-b">
      <value value="&quot;S4&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="eating-fraction">
      <value value="1"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="time-famine">
      <value value="40"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="metabolism-type">
      <value value="&quot;constant-lineal&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="CostP">
      <value value="0.01"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="decision-rule-mode">
      <value value="&quot;one-rule&quot;"/>
    </enumeratedValueSet>
    <steppedValueSet variable="std-season" first="1" step="1" last="5"/>
    <enumeratedValueSet variable="regeneration-type">
      <value value="&quot;all-patches&quot;"/>
    </enumeratedValueSet>
  </experiment>
  <experiment name="period_std_S9_2" repetitions="30" runMetricsEveryStep="true">
    <setup>setup</setup>
    <go>go</go>
    <timeLimit steps="1000"/>
    <metric>pop-acc-a</metric>
    <metric>pop-acc-b</metric>
    <metric>en-acc-a</metric>
    <metric>en-acc-b</metric>
    <metric>time-abundance-t</metric>
    <metric>time-famine-t</metric>
    <metric>season-time</metric>
    <metric>season-t</metric>
    <enumeratedValueSet variable="Cm">
      <value value="0.02"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="season-stochastic">
      <value value="true"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="time-abundance">
      <value value="60"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="E0">
      <value value="2"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Emax">
      <value value="20"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="p-oasis">
      <value value="1"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-strategy-a">
      <value value="&quot;S9&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="movement-type">
      <value value="&quot;composed&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Mb">
      <value value="0.05"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="history-record">
      <value value="false"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Es">
      <value value="3"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="one-rule">
      <value value="&quot;repetition&quot;"/>
      <value value="&quot;imitation&quot;"/>
      <value value="&quot;inquiring&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="tournament">
      <value value="&quot;accumulation-limit-binary&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="needs">
      <value value="&quot;only-existential&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="p-grow">
      <value value="0.001"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="pop-total">
      <value value="1680"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="p-grow-famine">
      <value value="0"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="sources-distribution">
      <value value="&quot;constant&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="acc-limit-a">
      <value value="55"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="p-grow-abundance">
      <value value="1"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="famine-abundance">
      <value value="true"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="acc-limit-b">
      <value value="105"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-strategy-b">
      <value value="&quot;S4&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="eating-fraction">
      <value value="1"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="time-famine">
      <value value="40"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="metabolism-type">
      <value value="&quot;constant-lineal&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="CostP">
      <value value="0.01"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="decision-rule-mode">
      <value value="&quot;one-rule&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="std-season">
      <value value="0"/>
      <value value="1"/>
      <value value="5"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="regeneration-type">
      <value value="&quot;all-patches&quot;"/>
    </enumeratedValueSet>
  </experiment>
  <experiment name="final_stage_abundance1" repetitions="30" runMetricsEveryStep="true">
    <setup>setup</setup>
    <go>go</go>
    <timeLimit steps="1500"/>
    <metric>pop-acc-a</metric>
    <metric>pop-acc-b</metric>
    <metric>en-acc-a</metric>
    <metric>en-acc-b</metric>
    <metric>time-abundance-t</metric>
    <metric>time-famine-t</metric>
    <metric>season-time</metric>
    <metric>season-t</metric>
    <enumeratedValueSet variable="Cm">
      <value value="0.02"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="season-stochastic">
      <value value="true"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="time-abundance">
      <value value="60"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="E0">
      <value value="2"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Emax">
      <value value="20"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Mb">
      <value value="0.05"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="initial-strategy-a">
      <value value="&quot;S9&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="p-oasis">
      <value value="1"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="movement-type">
      <value value="&quot;composed&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="history-record">
      <value value="false"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="final-cycle">
      <value value="10"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Es">
      <value value="3"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="tournament">
      <value value="&quot;accumulation-limit-binary&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="needs">
      <value value="&quot;only-existential&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="one-rule">
      <value value="&quot;repetition&quot;"/>
      <value value="&quot;imitation&quot;"/>
      <value value="&quot;inquiring&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="p-grow">
      <value value="0.001"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="pop-total">
      <value value="1680"/>
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    <enumeratedValueSet variable="p-grow-famine">
      <value value="0"/>
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    <enumeratedValueSet variable="sources-distribution">
      <value value="&quot;constant&quot;"/>
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    <enumeratedValueSet variable="acc-limit-a">
      <value value="55"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="p-grow-abundance">
      <value value="1"/>
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    <enumeratedValueSet variable="famine-abundance">
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    <enumeratedValueSet variable="acc-limit-b">
      <value value="105"/>
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    <enumeratedValueSet variable="initial-strategy-b">
      <value value="&quot;S4&quot;"/>
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    <enumeratedValueSet variable="eating-fraction">
      <value value="1"/>
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    <enumeratedValueSet variable="time-famine">
      <value value="40"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="metabolism-type">
      <value value="&quot;constant-lineal&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="CostP">
      <value value="0.01"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="decision-rule-mode">
      <value value="&quot;one-rule&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="regeneration-type">
      <value value="&quot;all-patches&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="std-season">
      <value value="0"/>
      <value value="1"/>
      <value value="5"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="final-abundance-stage">
      <value value="true"/>
    </enumeratedValueSet>
  </experiment>
</experiments>
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