An Agent Based Simulation Model to Locating Sellers Using Geographic Information Systems

نویسنده

  • Ali A. Pouyan
چکیده

In this paper, a generic model for locating sellers in a geographical area is presented. The proposed model is based on buyers’ side attributes including price, quality, distance, income and discount, which determine the location of the prospective sellers. The required information for the model is acquired from buyers and the geographic information system (GIS). It is assumed that the agents (sellers and buyers) transact in a multi agent system (MAS) environment. Buyer agents act according to the adjacency to market place, incoming level, quality of commodity, and buying mentality background. The advantage of the proposed model is that it combines agents’ behavior with GIS. While GIS enables us to model geographic space, MAS models the behavior of intelligent agents within a specific geographical space.

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تاریخ انتشار 2008