Heterogeneous thinking protocol of hybrid intelligent multiagent system for solving distributional power grid recovery problem

The problem of power supply restoration in the regional distributional power grid after large-scale accidents is characterized by high combinatorial complexity, heterogeneity, underdetermination, inaccuracy, and ambiguity. The use of the collective problem solving mechanism to overcome the listed non-factors in the sense of A. S. Narinyani is impossible due to time constraints. To solve this problem, a new class of intelligent systems that model collective decision-making under the guidance of a facilitator is proposed, namely, hybrid intelligent multiagent systems of heterogeneous thinking. Unlike traditional hybrid intelligent systems that integrate models of expert knowledge, they additionally model group processes and effects arising from collective problem solving, adapting to the dynamic nature of the problem of restoring the regional distribution grid. The paper discusses one of the components of such systems, namely, the protocol for organizing collective heterogeneous thinking of agents.