Recent Advances in Learning Automata

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106,99 

Studies in Computational Intelligence 754

ISBN: 3319891820
ISBN 13: 9783319891828
Verlag: Springer Verlag GmbH
Umfang: xix, 458 S., 114 s/w Illustr., 126 farbige Illustr., 458 p. 240 illus., 126 illus. in color.
Erscheinungsdatum: 06.06.2019
Weitere Autoren: Rezvanian, Alireza/Saghiri, Ali Mohammad/Vahidipour, Seyed Mehdi et al
Auflage: 1/2018
Produktform: Kartoniert
Einband: Kartoniert

This book collects recent theoretical advances and concrete applications of learning automata (LAs) in various areas of computer science, presenting a broad treatment of the computer science field in a survey style. Learning automata (LAs) have proven to be effective decision-making agents, especially within unknown stochastic environments. The book starts with a brief explanation of LAs and their baseline variations. It subsequently introduces readers to a number of recently developed, complex structures used to supplement LAs, and describes their steady-state behaviors. These complex structures have been developed because, by design, LAs are simple units used to perform simple tasks; their full potential can only be tapped when several interconnected LAs cooperate to produce a group synergy. In turn, the next part of the book highlights a range of LA-based applications in diverse computer science domains, from wireless sensor networks, to peer-to-peer networks, to complex social networks, and finally to Petri nets. The book accompanies the reader on a comprehensive journey, starting from basic concepts, continuing to recent theoretical findings, and ending in the applications of LAs in problems from numerous research domains. As such, the book offers a valuable resource for all computer engineers, scientists, and students, especially those whose work involves the reinforcement learning and artificial intelligence domains.

Artikelnummer: 6181838 Kategorie:

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