Design and Implementation of Intelligent Negotiating Agents in E-Commerce Based on a Combined Strategy Using Genetic Algorithms as well as Fuzzy Fairness Function
نویسنده
چکیده
In order to be successful in multi-agent electronic negotiating environments, intelligent agents should be capable of adapting their negotiation strategies and tactics so that they can achieve an agreement with optimized profit. In this paper, some findings are going to be shown in which negotiating intelligent agents in electronic commerce start negotiating using a simplified standard protocol in conjunction with a combined negotiation. Taking advantage of a new developed evolutionary algorithm, agents configure their negotiation strategies somehow they can get more profit. They can use fuzzy fairness function to behavior with fairness or without fairness. Index Terms Next generation E-Commerce, intelligent agents, e-negotiating, Genetic algorithm, fuzzy logic
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