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001			102379
003			DE-He213
005			20240111050139.0
007			cr nn 008mamaa
008			180118s2018 gw | s |||| 0|eng d
020			_a9783319724287
024	7		_a10.1007/978-3-319-72428-7 _2doi
040			_aES-MaUEC _bspa
050		4	_aQ342 _b2018 EB
100	1		_aRezvanian, Alireza _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _1http://viaf.org/viaf/6650151837995520520007/ _9670967
245	1	0	_aRecent Advances in Learning Automata _cby Alireza Rezvanian, Ali Mohammad Saghiri, Seyed Mehdi Vahidipour, Mehdi Esnaashari, Mohammad Reza Meybodi.
264		1	_aCham _bSpringer International Publishing _c2018
300			_a1 recurso en línea (XIX, 458 páginas 240 ilustraciones, 126 ilustraciones a color)
347			_atext file _bPDF
490	0		_aStudies in Computational Intelligence _x1860-949X _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	3		_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		7	_9666321 _aIngeniería asistida por ordenador
650		7	_aInteligencia artificial _2embne _9413115
700	1		_aSaghiri, Ali Mohammad _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _1http://viaf.org/viaf/6792151837996020520009/ _9670827
700	1		_aVahidipour, Seyed Mehdi _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
700	1		_aEsnaashari, Mehdi _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
700	1		_aMeybodi, Mohammad Reza _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _1http://viaf.org/viaf/11315225/ _9670831
776	0	8	_iEdición impresa: _z9783319724270
776	0	8	_iEdición impresa: _z9783319724294
776	0	8	_iEdición impresa: _z9783319891828
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-72428-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
490	0		_aEngineering (Springer-11647)
988			_aEBSPRINGER_2018
998			_b12/2018 _dz _ea _feng _ggw _h0
999			_c102379 _d102379 _x1