Visualization of meta-reasoning in multi-agent systems

This paper describes the advances of our research on visualization of multi-agent systems (MAS) for purposes of analysis, monitoring and debugging. MAS are getting more complex and widely used, such analysis tools are highly beneficial in order to achieve better understanding of agents' behaviour. Our solution is based on our originally offline visualization tools suite, which now uses a new realtime data acquisition framework. In this case we have focused on agent meta-reasoning in a MAS for planning of humanitarian relief operations. Previous tools were unable to deal with complex characteristics of these simulations. This paper describes our new approach, declares conditions and proposes visualization methods, which fulfil them.