Learning automata and their applications to intelligent systems / (Record no. 92936)

000 -LEADER
fixed length control field 07184cam a2200481 i 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250922105440.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION
fixed length control field m o d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250922s2024 njum ob u001 0 eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781394188499
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781394188536
Qualifying information electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1394188536
Qualifying information electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781394188529
Qualifying information electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1394188528
Qualifying information electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781394188505
Qualifying information electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1394188501
Qualifying information electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 9781394188499
Qualifying information hardcover
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1002/9781394188536
Source of number or code doi
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)1405190907
037 ## - SOURCE OF ACQUISITION
Stock number 10325561
Source of stock number/acquisition IEEE
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
042 ## - AUTHENTICATION CODE
Authentication code pcc
050 04 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA267
Item number .Z43 2024
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 629.8/92631
Edition number 23/eng/20231018
100 1# - MAIN ENTRY--PERSONAL NAME
Preferred name for the person Zhang, JunQi
Titles and other words associated with a name (Professor),
Authority record control number https://id.loc.gov/authorities/names/no2023099798
Relator term author.
245 10 - TITLE STATEMENT
Title Learning automata and their applications to intelligent systems /
Statement of responsibility, etc JunQi Zhang, MengChu Zhou.
264 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Hoboken, New Jersey :
Name of publisher, distributor, etc John Wiley & Sons, Inc.,
Date of publication, distribution, etc [2024]
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (xvii, 251 pages) :
Other physical details illustrations (chiefly color)
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent.
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia.
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier.
340 ## - PHYSICAL MEDIUM
Source rdacc
Authority record control number or standard number http://rdaregistry.info/termList/RDAColourContent/1003.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc "A learning automaton represents an important and powerful tool in the area of reinforcement learning and aims at learning the optimal one that maximizes the probability of being rewarded out of a set of allowable systems, actions, alternatives, candidates, or designs by the interaction with a random environment. During a cycle, an automaton chooses an action and then receives a stochastic response that can be either a reward or penalty from the environment. The action probability vector of choosing the next action is then updated by employing this response. The ability of learning how to choose the optimal action endows learning automata with high adaptability to the environment, thus saving great expense and time to find the optimal one in various difficult stochastic environments."--
Assigning source Provided by publisher.
545 0# - BIOGRAPHICAL OR HISTORICAL DATA
Biographical or historical note About the Author<br/>JunQi Zhang, PhD, is a Full Professor with Tongji University in Shanghai. He has published 10+ papers in IEEE Transactions and 30+ papers in conferences. His current research interests include learning automata, swarm intelligence, swarm robots, multi-agent systems, reinforcement learning, and big data.<br/><br/>MengChu Zhou, PhD, is a Distinguished Professor at New Jersey Institute of Technology. He has over 1100 publications including 14 books, 750+ journal papers (600+ in IEEE transactions), 31 patents, and 32 book-chapters. He is Fellow of IEEE, IFAC, AAAS, CAA and NAI.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine theory.
Authority record control number https://id.loc.gov/authorities/subjects/sh85079341.
655 #4 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Zhou, MengChu,
Authority record control number https://id.loc.gov/authorities/names/n92108716
Relator term author.
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://onlinelibrary.wiley.com/doi/book/10.1002/9781394188536
Link text Full text is available at Wiley Online Library Click here to view
942 ## - ADDED ENTRY ELEMENTS
Source of classification or shelving scheme
Item type EBOOK
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent Location Current Location Date acquired Source of acquisition Full call number Date last seen Price effective from Item type
          COLLEGE LIBRARY COLLEGE LIBRARY 2025-09-22 ALBASA Consortium 629.892631 Z612 2023 2025-09-22 2025-09-22 EBOOK