Recent Advances in Learning Automata / Studies in Computational Intelligence Bd.754 (PDF)
(Sprache: Englisch)
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...
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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.
Bibliographische Angaben
- Autoren: Alireza Rezvanian , Ali Mohammad Saghiri , Seyed Mehdi Vahidipour , Mehdi Esnaashari , Mohammad Reza Meybodi
- 2018, 1st ed. 2018, 458 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3319724282
- ISBN-13: 9783319724287
- Erscheinungsdatum: 17.01.2018
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- Dateiformat: PDF
- Grösse: 16 MB
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Sprache:
Englisch
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