Collaborative Agent System Using Fuzzy Logic
نویسنده
چکیده
Collaborative agents are able to find global solutions to complex systems using local knowledge rather than a complete global knowledge set. The complexity, on the other hand, brings uncertainty. Global optimisation in a uncertain environment can be undertaken using fuzzy collaborative agents. Negotiation, involving generating, evaluating and modifying action plans, under fuzzy circumstance is a key to construct fuzzy collaborative agents and fuzzy multi-agent systems. This paper presents an approach of negotiation using fuzzy reasoning, in particular fuzzy backward reasoning. A fuzzy collaborative agent has local knowledge in the form of a fuzzy model. Fuzzy backward reasoning is performed based on the fuzzy model to generate and modify an action plan in each agent.
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