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This article is cited in 3 scientific papers (total in 3 papers)
Method for measuring synergy effect in hybrid intelligent multiagent systems
I. Kirikova, A. Kolesnikovab, S. Listopada, S. Rumovskayaa a Kaliningrad Branch of the Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences, 5 Gostinaya Str, Kaliningrad 236000, Russian Federation
b Immanuel Kant Baltic Federal University, 14 A. Nevskogo Str.,
Kaliningrad 236041, Russian Federation
Abstract:
Complex tasks of management and decision-making in social and technical systems require the involvement of the collective intelligence such as expert roundtables, hybrid intellectual multiagent systems as models of discussion in teams, or virtual heterogeneous teams consisting of real and “artificial” experts (avatars). Solving complex problems with collective intelligence is a multistage process of negotiations and exchange of solutions. To organize it effectively, a tool is needed reflecting the state of the collective process of solving complex problems. The article considers existing methods and models for estimating the synergy effect and suggests a method for its evaluation in hybrid intelligent multiagent systems.
Keywords:
management; decision-making; expert team; hybrid intelligent multiagent system; synergy effect; method for measuring synergy.
Received: 15.08.2017
Citation:
I. Kirikov, A. Kolesnikov, S. Listopad, S. Rumovskaya, “Method for measuring synergy effect in hybrid intelligent multiagent systems”, Sistemy i Sredstva Inform., 27:3 (2017), 99–111
Linking options:
https://www.mathnet.ru/eng/ssi532 https://www.mathnet.ru/eng/ssi/v27/i3/p99
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Abstract page: | 219 | Full-text PDF : | 107 | References: | 33 |
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