Authors:
- 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)
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (7 chapters)
-
Front Matter
-
Models
-
Front Matter
-
-
Back Matter
About this book
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