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JOURNALS // Sistemy i Sredstva Informatiki [Systems and Means of Informatics] // Archive

Sistemy i Sredstva Inform., 2020 Volume 30, Issue 1, Pages 56–65 (Mi ssi684)

This article is cited in 7 papers

Agent conflict identification method in hybrid intelligent multiagent systems

S. V. Listopad, I. A. Kirikov

Kaliningrad Branch of the Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences, 5 Gostinaya Str., Kaliningrad 236000, Russian Federation

Abstract: The article is devoted to the development of a method for identifying conflicts between agents in hybrid intelligent multiagent systems. Conflict identification is the first step in the process of conflict management by the facilitator agent of the hybrid intellectual multiagent system modeling collective problem solving by experts at the round table. At this stage, the type (problem-oriented, process-oriented) and the intensity of the conflict between each pair of agents of the system are determined. This will ensure the management of the collective “reasoning” process by activating different types of collective thinking depending on the nature and intensity of the conflict, which will increase the relevance of hybrid intelligent multiagent systems to expert teams which successfully solve problems with high combinatorial complexity, heterogeneity, underdetermination, and other non-factors.

Keywords: conflict, hybrid intelligent multiagent system, expert team.

Received: 31.01.2020

DOI: 10.14357/08696527200105



© Steklov Math. Inst. of RAS, 2024