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Recent Advances in Learning Automata

  • Book
  • © 2018

Overview

Authors:
  1. Alireza Rezvanian

    1. Computer Engineering and Information Technology Department, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran

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  2. Ali Mohammad Saghiri

    1. Computer Engineering and Information Technology Department, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran

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  3. Seyed Mehdi Vahidipour

    1. Faculty of Electrical and Computer Engineering, Computer Engineering Department, University of Kashan, Kashan, Iran

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  4. Mehdi Esnaashari

    1. Faculty of Computer Engineering, K.N.Toosi University of Technology, Tehran, Iran

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  5. Mohammad Reza Meybodi

    1. Soft Computing Laboratory, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran

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  • 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 style
  • Highlights recent research advances

Part of the book series: Studies in Computational Intelligence (SCI, volume 754)

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Table of contents (7 chapters)

  1. Front Matter

    Pages i-xix
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  2. Models

    1. Front Matter

      Pages 1-1
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    2. Learning Automata Theory

      • Alireza Rezvanian, Ali Mohammad Saghiri, Seyed Mehdi Vahidipour, Mehdi Esnaashari, Mohammad Reza Meybodi
      Pages 3-19

    3. Cellular Learning Automata

      • Alireza Rezvanian, Ali Mohammad Saghiri, Seyed Mehdi Vahidipour, Mehdi Esnaashari, Mohammad Reza Meybodi
      Pages 21-88

  3. Recent Applications

    1. Front Matter

      Pages 89-89
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    2. Learning Automata for Wireless Sensor Networks

      • Alireza Rezvanian, Ali Mohammad Saghiri, Seyed Mehdi Vahidipour, Mehdi Esnaashari, Mohammad Reza Meybodi
      Pages 91-219

    3. Learning Automata for Cognitive Peer-to-Peer Networks

      • Alireza Rezvanian, Ali Mohammad Saghiri, Seyed Mehdi Vahidipour, Mehdi Esnaashari, Mohammad Reza Meybodi
      Pages 221-278

    4. Learning Automata for Complex Social Networks

      • Alireza Rezvanian, Ali Mohammad Saghiri, Seyed Mehdi Vahidipour, Mehdi Esnaashari, Mohammad Reza Meybodi
      Pages 279-334

    5. Adaptive Petri Net Based on Learning Automata

      • Alireza Rezvanian, Ali Mohammad Saghiri, Seyed Mehdi Vahidipour, Mehdi Esnaashari, Mohammad Reza Meybodi
      Pages 335-436

    6. Summary and Future Directions

      • Alireza Rezvanian, Ali Mohammad Saghiri, Seyed Mehdi Vahidipour, Mehdi Esnaashari, Mohammad Reza Meybodi
      Pages 437-438

  4. Back Matter

    Pages 439-458
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Keywords

About this book

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.

Authors and Affiliations

  • Computer Engineering and Information Technology Department, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran

    Alireza Rezvanian, Ali Mohammad Saghiri

  • Faculty of Electrical and Computer Engineering, Computer Engineering Department, University of Kashan, Kashan, Iran

    Seyed Mehdi Vahidipour

  • Faculty of Computer Engineering, K.N.Toosi University of Technology, Tehran, Iran

    Mehdi Esnaashari

  • Soft Computing Laboratory, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran

    Mohammad Reza Meybodi

Bibliographic Information

  • Book Title: Recent Advances in Learning Automata

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

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-319-72428-7

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing AG 2018

  • Hardcover ISBN: 978-3-319-72427-0Published: 26 January 2018

  • Softcover ISBN: 978-3-319-89182-8Published: 06 June 2019

  • eBook ISBN: 978-3-319-72428-7Published: 17 January 2018

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XIX, 458

  • Number of Illustrations: 114 b/w illustrations, 126 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence

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