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The Krause mean process serves as a comprehensive model for the dynamics of opinion exchange within multi–agent system wherein opinions are represented as vectors. In this paper, we propose a framework for opinion exchange dynamics by means of the Krause mean process that is generated by a cubic doubly stochastic matrix with positive influences. The primary objective is to establish a consensus within the multi–agent system

Ключевые фразы: multi-agent system, consensus, krause mean process, cubic stochastic matrix, quadratic operator
Автор (ы): SABUROV KH., SABUROV KH., ALP M.
Журнал: УФИМСКИЙ МАТЕМАТИЧЕСКИЙ ЖУРНАЛ

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Идентификаторы и классификаторы

SCI
Математика
УДК
51. Математика
Для цитирования:
SABUROV KH., SABUROV KH., ALP M. KRAUSE MEAN PROCESSES GENERATED BY CUBIC STOCHASTIC MATRICES WITH POSITIVE INFLUENCES // УФИМСКИЙ МАТЕМАТИЧЕСКИЙ ЖУРНАЛ. 2025. Т. 17 № 2
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