Abstract
AbstractThe Petri nets (PN)-based analytical approach to describing the agent behaviour in MAS (multi agent systems) is presented. PN yield the possibility to express the MAS behaviour by means of the vector state equation in the form of linear discrete system. Thus, the modular approach to the creation of the MAS model can be successfully used too. Three different interconnections of modules (agents, interfaces, environment) expressed by PN subnets are introduced. Special attention is paid to conflict resolution and machine learning methods based on modelling tools, detection and resolution of conflicts. The approach makes possible to use methods of linear algebra. In addition, it can be successfully used at the system analysis (e.g. the reachability of states), at testing the system properties, and even at the system control synthesis.KeywordsAgentPetri NetNegotiationConflict ResolutionMachine Learning
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