A concise introduction to multiagent systems and distributed artificial intelligence

Multiagent systems is an expanding field that blends classical fields like game theory and decentralized control with modern fields like computer science and machine learning. This monograph provides a concise introduction to the subject, covering the theoretical foundations as well as more recent d...

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Bibliographic Details
Main Author: Vlassis, Nikos.
Format: Electronic
Language:English
Published: San Rafael, Calif (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool Publishers, 2007.
Edition:1st ed.
Series:Synthesis lectures on artificial intelligence and machine learning (Online) ; 2.
Subjects:
Online Access:View fulltext via EzAccess
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100 1 # |a Vlassis, Nikos. 
245 1 2 |a A concise introduction to multiagent systems and distributed artificial intelligence  |c Nikos Vlassis.  |h [electronic resource] / 
250 # # |a 1st ed. 
260 # # |a San Rafael, Calif (1537 Fourth Street, San Rafael, CA 94901 USA) :  |b Morgan & Claypool Publishers,  |c 2007. 
300 # # |a 1 electronic text (xii, 71 p. : ill.) :  |b digital file. 
490 1 # |a Synthesis lectures on artificial intelligence and machine learning,  |v #2  |x 1939-4616 ; 
500 # # |a Part of: Synthesis digital library of engineering and computer science. 
500 # # |a Title from PDF t.p. (viewed on Nov. 1, 2008). 
500 # # |a Series from website. 
504 # # |a Includes bibliographical references (p. 63-70). 
505 0 # |a Introduction -- Rational agents -- Strategic games -- Coordination -- Partial observability -- Mechanism design -- Learning -- Bibliography -- Author biography. 
506 # # |a Abstract freely available; full-text restricted to subscribers or individual document purchasers. 
510 0 # |a Compendex 
510 0 # |a INSPEC 
510 0 # |a Google scholar 
510 0 # |a Google book search 
520 # # |a Multiagent systems is an expanding field that blends classical fields like game theory and decentralized control with modern fields like computer science and machine learning. This monograph provides a concise introduction to the subject, covering the theoretical foundations as well as more recent developments in a coherent and readable manner. 
530 # # |a Also available in print. 
538 # # |a Mode of access: World Wide Web. 
538 # # |a System requirements: Adobe Acrobat Reader. 
650 # 0 |a Intelligent agents (Computer software) 
650 # 0 |a Distributed artficial intelligence. 
650 # 0 |a Game theory. 
690 # # |a Multiagent systems. 
690 # # |a Distributed artificial intelligence. 
690 # # |a Game theory. 
690 # # |a Decision making under uncertainty. 
690 # # |a Coordination. 
690 # # |a Knowledge and information. 
690 # # |a Mechanism design. 
690 # # |a Reinforcement learning. 
730 0 # |a Synthesis digital library of engineering and computer science. 
830 # 0 |a Synthesis lectures on artificial intelligence and machine learning (Online) ;  |v 2. 
856 4 2 |u https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.2200/S00091ED1V01Y200705AIM002  |z View fulltext via EzAccess