Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: People view uncertain events as knowable in principle ( epistemic uncertainty), as fundamentally random ( aleatory uncertainty), or as some mixture of the two.  show that people make more extreme probability judgments (i.e., closer to 0 or 1) for events they view as entailing more epistemic uncertainty and less aleatory uncertainty.  demonstrate this pattern in a domain where there is agreement concerning the balance of evidence (pairings of teams according to their seed in a basketball tournament) but individual differences in the perception of the epistemicness/aleatoriness of that domain (Study 1), across a range of domains that vary in their perceived epistemicness/aleatoriness (Study 2), in a single judgment task for which  only vary the degree of randomness with which events are selected (Study 3), and when  prime participants to see events as more epistemic or aleatory (Study 4). Decomposition of accuracy scores suggests that the greater judgment extremity of more epistemic events can manifest itself as a trade-off beten enhanced resolution and diminished calibration.  further relate our findings to the hard–easy effect and also show that differences beten epistemic and aleatory judgment are amplified when judges have more knowledge concerning relevant events.Data, as supplemental material, are available at http://dx.doi.org/10.1287/mnsc.2015.2344 .  was accepted by Yuval Rottenstreich, judgment and decision making .
['David Tannenbaum', 'Craig R. Fox', 'Gülden Ülkümen']
I am writing a research paper on a idea Judgment Extremity and Accuracy Under Epistemic vs. I am writing a research paper on a idea Aleatory Uncertainty
[{"from": "human", "value": "I am writing a research paper on a idea Judgment Extremity and Accuracy Under Epistemic vs. I am writing a research paper on a idea Aleatory Uncertainty"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: People view uncertain events as knowable in principle ( epistemic uncertainty), as fundamentally random ( aleatory uncertainty), or as some mixture of the two.  show that people make more extreme probability judgments (i.e., closer to 0 or 1) for events they view as entailing more epistemic uncertainty and less aleatory uncertainty.  demonstrate this pattern in a domain where there is agreement concerning the balance of evidence (pairings of teams according to their seed in a basketball tournament) but individual differences in the perception of the epistemicness/aleatoriness of that domain (Study 1), across a range of domains that vary in their perceived epistemicness/aleatoriness (Study 2), in a single judgment task for which  only vary the degree of randomness with which events are selected (Study 3), and when  prime participants to see events as more epistemic or aleatory (Study 4). Decomposition of accuracy scores suggests that the greater judgment extremity of more epistemic events can manifest itself as a trade-off beten enhanced resolution and diminished calibration.  further relate our findings to the hard\u2013easy effect and also show that differences beten epistemic and aleatory judgment are amplified when judges have more knowledge concerning relevant events.Data, as supplemental material, are available at http://dx.doi.org/10.1287/mnsc.2015.2344 .  was accepted by Yuval Rottenstreich, judgment and decision making ."}]