The learning mechanism design with petri nets for adaptive agent

The Complex Adaptive Systems(CAS) is a new theory with the goal to study how complex behaviors emerge in systems of relatively simple interacting individuals. The CAS is also a multi-agent system, and learning ability is a crucial characteristic of adaptive agents. This paper explores the learning agent model with Petri Nets by considering both the macrostructure and microstructure for complex adaptive systems simulation.