Cellular learning automata [electronic resource] : theory and applications / Reza Vafashoar, Hossein Morshedlou, Alireza Rezvanian, Mohammad Reza Meybodi.

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Cellular learning automata [electronic resource] : theory and applications / Reza Vafashoar, Hossein Morshedlou, Alireza Rezvanian, Mohammad Reza Meybodi.

9783030531416 (electronic bk.)
3030531414 (electronic bk.)
9783030531423 (print)
3030531422
9783030531430 (print)
3030531430
3030531406
9783030531409

Cham : Springer, [2021]

English

1 online resource.

10.1007/978-3-030-53141-6 doi
10.1007/978-3-030-53

Q325.5

006.3/1

This book highlights both theoretical and applied advances in cellular learning automata (CLA), a type of hybrid computational model that has been successfully employed in various areas to solve complex problems and to model, learn, or simulate complicated patterns of behavior. Owing to CLAs parallel and learning abilities, it has proven to be quite effective in uncertain, time-varying, decentralized, and distributed environments. The book begins with a brief introduction to various CLA models, before focusing on recently developed CLA variants. In turn, the research areas related to CLA are addressed as bibliometric network analysis perspectives. The next part of the book presents CLA-based solutions to several computer science problems in e.g. static optimization, dynamic optimization, wireless networks, mesh networks, and cloud computing. Given its scope, the book is well suited for all researchers in the fields of artificial intelligence and reinforcement learning.

Includes bibliographical references.

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Studies in systems, decision and control ; v. 307.

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