Dynamic formation generating for intelligent transport systems using algorithm to select function by environmental information

In a multi-agent system, agents must have functions to work in cooperation with other agents. To produce the cooperative works, we propose soft DNA (soft computing oriented data driven functional scheduling architecture) to change dynamically an agent´s control block based on the fuzzy associative memory organizing units system (FAMOUS) and a conceptual fuzzy set (CFS). Its function is to alot each agent´s role in the agents group and select the role dynamically according to circumstance. We apply this system to intelligent transport systems