Agent - Based Automated Negotiation System for Handling Vague Data Using Artificial Neural Network with Adaptive Back Propagation Algorithm Samuel

An auction market is a market in which buyers enter competitive bids and sellers enter competitive offers at the same time. Many negotiation systems have been proposed that rely on adequate and precise information provided by the negotiation parties for making their decisions. This paper provides mechanisms for addressing inadequate or missing information in a negotiation environment between a seller and many buyers which depends on multiple issues to make a decision. The system employs artificial neural network with adaptive momentum back propagation mechanism to determine whether a buyer should be selected among possible bid winners. The system then uses simple decision controls to determine the overall bid winner. The system was implemented using Java