Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Network approaches are used to structure, partition and display formalisms in the area of knowledge representation as ll as decision making. Known approaches are, for instance, OCF-networks, Bayesian style networks where every variable is annotated with a conditional ranking table, and CP-networks, directed acyclic networks with local preferences annotated at each vertex. The structures of these networks are similar, but their semantics seem to be quite different.   discuss if OCF-networks can be used to model the information of CP-networks and vice versa. To ansr this question  investigate which restrictions and conditions have to be presupposed to either of the approaches such that one structure can be used to generate the other.
['Christian Eichhorn', 'Matthias Fey', 'Gabriele Kern-Isberner']
I am writing a research paper on a idea CP- and OCF-networks - a comparison
[{"from": "human", "value": "I am writing a research paper on a idea CP- and OCF-networks - a comparison"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Network approaches are used to structure, partition and display formalisms in the area of knowledge representation as ll as decision making. Known approaches are, for instance, OCF-networks, Bayesian style networks where every variable is annotated with a conditional ranking table, and CP-networks, directed acyclic networks with local preferences annotated at each vertex. The structures of these networks are similar, but their semantics seem to be quite different.   discuss if OCF-networks can be used to model the information of CP-networks and vice versa. To ansr this question  investigate which restrictions and conditions have to be presupposed to either of the approaches such that one structure can be used to generate the other."}]