| 書目名稱 | Recent Advances in Learning Automata | | 編輯 | Alireza Rezvanian,Ali Mohammad Saghiri,Mohammad Re | | 視頻video | http://file.papertrans.cn/823/822826/822826.mp4 | | 概述 | Addresses 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 | | 叢書名稱 | Studies in Computational Intelligence | | 圖書封面 |  | | 描述 | 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 | | 出版日期 | Book 2018 | | 關(guān)鍵詞 | Reinforcement Learning; Learning Automata; Network of Learning Automata; Discretized Learning Automata; | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-72428-7 | | isbn_softcover | 978-3-319-89182-8 | | isbn_ebook | 978-3-319-72428-7Series ISSN 1860-949X Series E-ISSN 1860-9503 | | issn_series | 1860-949X | | copyright | Springer International Publishing AG 2018 |
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