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About the benefits of Сonnectionism for Multiagent Supercomputer research
About the benefits of Сonnectionism for Multiagent Supercomputer research
Annotation
In the present article, the perspectives of the use of Connectionism paradigm in multiagent supercomputer research (MASCR) are studied. A number of arguments are given that connectionism is useless in solving the problem of attributing cognitive phenomena to the results of the functioning of the toolkit of artificial societies. However, private and pure methods of connectionism are very useful.
About authors
Rustam Khasanov
Moscow state university
Andrey Alekseev
Professor
Moscow State University
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