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This article is cited in 3 scientific papers (total in 3 papers)
Conflict resolution 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 paper discusses an algorithm for reducing the intensity and resolving conflicts that arise in hybrid intelligent multiagent systems. The proposed algorithm is an integral part of the method for managing problem- and process-oriented conflicts in such systems. This method makes it possible to identify decision-making situations, stimulate, if necessary, and subsequently resolve constructive forms of conflict, as well as prevent its destructive forms using the proposed algorithm. Stimulation of the conflict together with the heterogeneity of the system according to the knowledge of specialists simulated by agents and the methods used by them provides an all-sided consideration of the problem posed. The proposed algorithm for reducing the intensity and resolving conflicts allows agents to reconcile automatically their positions on solving the problem and work out a single collective solution in order to save the user from the need for manual analysis and choosing a solution from the array of alternatives proposed by individual agents.
Keywords:
conflict, hybrid intelligent multiagent system, team of specialists, conflict resolution.
Received: 10.01.2022
Citation:
S. V. Listopad, I. A. Kirikov, “Conflict resolution in hybrid intelligent multiagent systems”, Inform. Primen., 16:1 (2022), 54–60
Linking options:
https://www.mathnet.ru/eng/ia774 https://www.mathnet.ru/eng/ia/v16/i1/p54
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Abstract page: | 127 | Full-text PDF : | 76 | References: | 26 |
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