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Recent Advances in Learning Automata

By: Alireza Rezvanian,Ali Mohammad Saghiri,Seyed Mehdi Vahidipour,Mehdi Esnaashari,Mohammad Reza Meybodi

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Recent Advances in Learning Automata

By: Alireza Rezvanian,Ali Mohammad Saghiri,Seyed Mehdi Vahidipour,Mehdi Esnaashari,Mohammad Reza Meybodi

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.

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Page Count

471

Publisher

Springer

Published Date

ISBN 10

3319724282

ISBN 13

9783319724287

Recent Advances in Learning Automata

By: Alireza Rezvanian,Ali Mohammad Saghiri,Seyed Mehdi Vahidipour,Mehdi Esnaashari,Mohammad Reza Meybodi

Write a review Read reviews Take a Quiz Solve Book Puzzle

Recent Advances in Learning Automata

By: Alireza Rezvanian,Ali Mohammad Saghiri,Seyed Mehdi Vahidipour,Mehdi Esnaashari,Mohammad Reza Meybodi

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.

Average ratings

N/A

5

0%

4

0%

3

0%

2

0%

1

0%

Solve jigsaw puzzle

Age

Page Count

471

Publisher

Springer

Published Date

ISBN 10

3319724282

ISBN 13

9783319724287