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- W1966467987 abstract "It is usually agreed that a system capable of learning deserves to be called intelligent; and conversely, a system being considered as intelligent is, among other things, usually expected to be able to learn. Learning always has to do with the self-improvement of future behavior based on past experience. In this paper we present a learning model for Multi-Agent System, which aims to the optimization of coordination schemes through a collective learning process based on Cultural Algorithms." @default.
- W1966467987 created "2016-06-24" @default.
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- W1966467987 date "2014-07-01" @default.
- W1966467987 modified "2023-10-17" @default.
- W1966467987 title "Cultural learning for Multi-Agent System and its application to fault management" @default.
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- W1966467987 doi "https://doi.org/10.1109/cec.2014.6900438" @default.
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