Abstrakt: |
The aim of this paper is to present a new modeling method for complex adaptive agent system. Because of interior relation complexity of agent in multi-agent systems, agent behavior was decomposed into action and status and that is devoted to utilizing Petri nets for modeling and describing of dynamic systems by introducing time and color sets. Then, the model of complex adaptive agent system is developed and modeling process is discussed on detail based on Time Colored Petri Nets (TCPN), especially, agent behavior and agent interaction model are created. A case study of steel logistics system by using time colored Petri nets is provided to show the applicability of our approach and the simulation results show that the modeling method is correct and effective. [ABSTRACT FROM AUTHOR] |