Modelling and visualizing agent conversations
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This paper describes an application of modelling multi agent systems in the context of multi-robot cooperation for performing tasks. It uses a layered approach based on Colored Petri Nets for modelling complex, concurrent conversations among agents in a multi-agent system. In this approach each agent employs the implementation of a Petri Net model that allows agents to follow a plan specifying their interactions. It also allows programmers to plan for the concurrent feature of the conversation and make sure that all possible states of the problem space are considered. Moreover, the system performance is examined under various agents' strategies for finding teammates and performing the task.