A neural net model to represent negotiators' heuristics

The authors demonstrate the use of neural networks to represent the complex thought process of negotiators. Using the pattern matching concept, they present an innovative way to capture the heuristics of the decision makers involved in a bilateral negotiation. A significant advantage of using the proposed representation scheme is the relative ease of recognition of the relations inherent within a negotiation problem.<<ETX>>

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