Abstract
This paper deals with an autonomous distributed conveyance system under a dynamic environment. In order for each agent to implement strategy determination autonomously, it needs to acquire environmental information. In this system, information is exchanged among other agents. By using Bayesian inference for gathered local information, the overall situation is predicted and strategy is determined. Moreover, when current environmental information differs from information acquired from environment by environmental big change etc., cancellation of the current strategy and re-decision are implemented.
