Titlebook: Recent Advances in Learning Automata; Alireza Rezvanian,Ali Mohammad Saghiri,Mohammad Re Book 2018 Springer International Publishing AG 20

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Alireza Rezvanian,Ali Mohammad Saghiri,Mohammad ReAddresses key issues and topics related to learning automata theories, architectures, models, algorithms, and their applications.Presents a broad treatment of the computer science field in a survey st

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978-3-319-89182-8Springer International Publishing AG 2018

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Recent Advances in Learning Automata978-3-319-72428-7Series ISSN 1860-949X Series E-ISSN 1860-9503

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Cellular Learning Automataa dynamic CLA, one of its aspects such as structure, local rule, or neighborhood set may change over time. In comparison to static CLAs, dynamic models of CLAs are more suitable for modeling and problem solving of domains that are dynamic in nature, such as peer-to-peer, internet of things and mobil

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Learning Automata for Wireless Sensor Networkss like the environments of WSNs, where the number of distributed elements is very large and the overhead of using centralized algorithms is very high. Second, LA has a very low computational and communicational overhead which makes it an outstanding model to be used in resource limited environments

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Adaptive Petri Net Based on Learning Automata an enabled transition for firing. Decision making in Petri nets is referred to as controlling mechanisms. Thus, in the APN-LA, learning automata are used to provide an adaptive controlling mechanism for the Petri net. APN-LA is the basic machine, from which other hybrid machines are proposed. One m

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