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This article is cited in 7 scientific papers (total 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
Citation:
S. V. Listopad, I. A. Kirikov, “Agent conflict identification method in hybrid intelligent multiagent systems”, Sistemy i Sredstva Inform., 30:1 (2020), 56–65
Linking options:
https://www.mathnet.ru/eng/ssi684 https://www.mathnet.ru/eng/ssi/v30/i1/p56
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Abstract page: | 140 | Full-text PDF : | 104 | References: | 23 |
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