Abstract
This paper proposes a simulator of consumer's behavior in a supermarket using a multi-agent model (MA). We use MA to simulate the consumer's behavior in a store because the behavior is highly complex and unpredictable. We did simulation under various conditions such as changes of layout and the commodity arrangement, and we were able to confirm the consumers' flow and the change of passage rate. The simulator can be used as a decision support system for determining the optimum layout or the optimum arrangement of commodity shelves, which is able to lengthen each consumer's flow, since the simulator enables us to analyze consumer's flow under various conditions.