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001431695 020__ $$a9783030531416$$q(electronic bk.)
001431695 020__ $$a3030531414$$q(electronic bk.)
001431695 020__ $$a9783030531423$$q(print)
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001431695 0247_ $$a10.1007/978-3-030-53141-6$$2doi
001431695 0248_ $$a10.1007/978-3-030-53
001431695 035__ $$aSP(OCoLC)1181997332
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001431695 050_4 $$aQ325.5
001431695 08204 $$a006.3/1$$223
001431695 1001_ $$aVafashoar, Reza.
001431695 24510 $$aCellular learning automata :$$btheory and applications /$$cReza Vafashoar, Hossein Morshedlou, Alireza Rezvanian, Mohammad Reza Meybodi.
001431695 260__ $$aCham :$$bSpringer,$$c[2021]
001431695 300__ $$a1 online resource
001431695 336__ $$atext$$btxt$$2rdacontent
001431695 337__ $$acomputer$$bc$$2rdamedia
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001431695 4901_ $$aStudies in systems, decision and control,$$x2198-4182 ;$$vv. 307
001431695 504__ $$aIncludes bibliographical references.
001431695 5050_ $$aVarieties of Cellular Learning Automata: An overview -- Cellular learning automata: A bibliometric analysis -- Learning from multiple reinforcements in cellular learning automata -- Applications of cellular learning automata and reinforcement learning in global optimization -- Applications of multi-reinforcement cellular learning automata in channel assignment -- Cellular Learning Automata for Collaborative Loss Sharing -- Cellular Learning Automata for Competitive Loss Sharing -- Cellular Learning Automata versus Multi-Agent Reinforcement Learning.
001431695 506__ $$aAccess limited to authorized users.
001431695 520__ $$aThis 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.
001431695 650_0 $$aMachine learning.
001431695 650_0 $$aCellular automata.
001431695 650_0 $$aArtificial intelligence.
001431695 655_0 $$aElectronic books.
001431695 7001_ $$aMorshedlou, Hossein.
001431695 7001_ $$aRezvanian, Alireza.
001431695 7001_ $$aMeybodi, Mohammad Reza,$$d1952-
001431695 77608 $$iPrint version:$$aVafashoar, Reza.$$tCellular learning automata.$$dCham : Springer, [2021]$$z3030531406$$z9783030531409$$w(OCoLC)1158201378
001431695 830_0 $$aStudies in systems, decision and control ;$$vv. 307.
001431695 852__ $$bebk
001431695 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-53141-6$$zOnline Access$$91397441.1
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001431695 980__ $$aBIB
001431695 980__ $$aEBOOK
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001431695 983__ $$aOnline
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