9783319724270 - recent advances in learning automata (studies in computational intelligence, 754, band 754) von rezvanian, alireza; saghiri, ali mohammad; vahidipour, seyed mehdi; esnaashari, mehdi; meybodi, mohammad reza (3 Ergebnisse)
Recent Advances in Learning Automata (Studies in Computational Intelligence, 754)
Rezvanian, Alireza; Saghiri, Ali Mohammad; Vahidipour, Seyed Mehdi; Esnaashari, Mehdi; Meybodi, Mohammad Reza
Sprache: Englisch
Verlag: Springer, 2018
Serie: Studies in Computational Intelligence, Buch 268 von 538. Buch 268 von 538 - Studies in Computational Intelligence
- Hardcover
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Zustand: New. In.
Sprache: Englisch
Verlag: Springer, 2018
Serie: Studies in Computational Intelligence, Buch 268 von 538. Buch 268 von 538 - Studies in Computational Intelligence
- Hardcover
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Hardcover. Zustand: Brand New. 477 pages. 9.25x6.10x1.30 inches. In Stock.
Sprache: Englisch
Verlag: Springer, 2018
Serie: Studies in Computational Intelligence, Buch 268 von 538. Buch 268 von 538 - Studies in Computational Intelligence
- Hardcover
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
