Adaptive Neural Networks for Automatic Negotiation
Δαμιανός Π. Σακάς, Dimitrios S. Vlachos, Theodore E. Simos, Theodore E. Simos, George B. Maroulis · AIP conference proceedings · 2007
The use of fuzzy logic and fuzzy neural networks has been found effective for the modelling of the uncertain relations between the parameters of a negotiation procedure. The problem with these configurations is that they are static, that is, any new knowledge from theory or experiment lead to the construction of entirely new models. To overcome this difficulty, we apply in this work, an adaptive neural topology to model the negotiation process. Finally a simple simulation is carried in order to test the new method.