Model of cooperation in multi-agent systems with fuzzy coalitions

Abstract

Agent-based computing is a new paradigm to build complex distributed computer systems. The article explores one of the key issues of agent-based computing-the problem of interactions in multi-agent systems (MAS) in dynamic organizational context. Particularly, the article describes an approach to the problem of coalition forming based on fuzzy coalition games with associated core, as well as fuzzy linear programming and genetic algorithms for the game solution search. The proposed approach enables coalition forming based on the fuzzy game theory and permits to change the way of MAS programming from the predefined ad-hoc architectures to dynamic flexible and agile systems with dynamic configurations developed on-line by the MAS itself. The proposed model is applied for the coalition forming for management of supply chain networks.