Fuzzy rules based method for agent conflict management in hybrid intelligent multiagent systems

The paper continues research on computer simulation with hybrid intelligent multiagent systems of a teamwork of specialists of various profiles who solve problems at a round table. The agents of such systems are autonomous software entities that imitate the reasoning of real specialists. Modeling of heterogeneous knowledge, goals, and points of view of agents on the problem posed within single intelligent system causes their collision, the emergence of conflicts by analogy with how it happens in simulated teams. Not every conflict between agents is destructive and requires suppression: conflict management in a hybrid intelligent multiagent system as well as in a team involves the identification of a decision-making situation, if necessary, stimulation and subsequent resolution of constructive forms of conflict as well as the prevention of its destructive forms. The paper proposes the method based on fuzzy rules to manage conflicts between agents in hybrid intelligent multiagent systems.