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001 978-3-319-72428-7
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005 20220801220654.0
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008 180118s2018 sz | s |||| 0|eng d
020 _a9783319724287
_9978-3-319-72428-7
024 7 _a10.1007/978-3-319-72428-7
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
100 1 _aRezvanian, Alireza.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_951676
245 1 0 _aRecent Advances in Learning Automata
_h[electronic resource] /
_cby Alireza Rezvanian, Ali Mohammad Saghiri, Seyed Mehdi Vahidipour, Mehdi Esnaashari, Mohammad Reza Meybodi.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXIX, 458 p. 240 illus., 126 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Computational Intelligence,
_x1860-9503 ;
_v754
505 0 _aLearning automata theory -- Cellular learning automata -- Learning automata for wireless sensor networks -- Learning automata for cognitive Peer-to-peer networks -- Learning automata for Complex Social Networks -- Adaptive petri net based on learning automata -- Summary and future directions.
520 _aThis 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.
650 0 _aComputational intelligence.
_97716
650 0 _aArtificial intelligence.
_93407
650 1 4 _aComputational Intelligence.
_97716
650 2 4 _aArtificial Intelligence.
_93407
700 1 _aSaghiri, Ali Mohammad.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_951677
700 1 _aVahidipour, Seyed Mehdi.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_951678
700 1 _aEsnaashari, Mehdi.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_951679
700 1 _aMeybodi, Mohammad Reza.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_951680
710 2 _aSpringerLink (Online service)
_951681
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319724270
776 0 8 _iPrinted edition:
_z9783319724294
776 0 8 _iPrinted edition:
_z9783319891828
830 0 _aStudies in Computational Intelligence,
_x1860-9503 ;
_v754
_951682
856 4 0 _uhttps://doi.org/10.1007/978-3-319-72428-7
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c78814
_d78814