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JOURNALS // Informatika i Ee Primeneniya [Informatics and its Applications] // Archive

Inform. Primen., 2009 Volume 3, Issue 4, Pages 76–86 (Mi ia82)

This article is cited in 2 papers

Self-organization of intelligent agents groups simulation depending on degree of interaction

I. A. Kirikov, A. V. Kolesnikov, S. V. Listopad

Institute for Problems of Informatics RAS, Kaliningrad Branch

Abstract: One of the approaches to the creation of self-organizing intellectual computer system for decision-making support based on an analysis of the experts' goals is considered. An algorithmfor determining the type of multiagent system architecture based on the extent of interaction between agents is considered, that is relevant to determining the effectiveness of expert groups and to improving the quality of decision-making.

Keywords: decision support computer system; self-organizing multiagent system; similarity measure of agents' fuzzy goals; algorithm for determining the type of multiagent system architecture based on the extent of interaction between agents.



© Steklov Math. Inst. of RAS, 2024