Fuzzy agents bargaining at a farmer´s market

Computational models of the bargaining process at a farmers´ market require modeling subjective preferences of the buyers and sellers and their subjective assessments of the produce. The proposed fuzzy agents based model employs a number of fuzzy inference systems modeled as Standard Additive Models that perform the subjective decision making for the agents. Survey results of different vendors and customers at different farmers´ markets provide the rule base coded in these fuzzy expert systems. The results show a steady convergence to a bargain weighted towards the greedier of the two players. Repeated simulations with the proposed model of varying buyers, sellers and the produce indicate that fuzzy agents can model bargaining at a farmers´ market.