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Distributed fuzzy logic price negotiation in market based multi-agent control

Market-based models in Multi-Agent systems that use fuzzy logic are not new ideas, but most solutions focus on learning and optimization without regards to the resilience of the system. In this paper we present two agent fuzzy inference systems that enable producer and consumer agents in the market to negotiate on the price of the desired resource until a unique allocation is achieved. By constraining consumers to a budget and providing redundant producers capable of meeting market demand under stress conditions, fuzzy price negotiation allows consumer agents to reason alternative solutions should a producing agent fail in the market.