COLLECTIVE DECISION MAKING IN MULTI-AGENT SYSTEMS

A generalized scheme is proposed that uses the tools of the nonlinear dynamics of strictly related agent-oriented studies of the dynamics of the mechanisms of making group decisions by animals for a systematic, bio-inspired design of coordinated management of multi-agent systems. It is focused on the development of network dynamics of multi-agent systems, followed by surprising features of the semantic decision-making that are observed in honey-bee domestic bees. These features include reliability and adaptability in decision making, are critical to performance in complex, changing environments.