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001			297672
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008			150903s2008 gw | o |||| 0|eng d
020			_a9783540768296 _99783540768296
024	7		_a10.1007/9783540768296 _2doi
035			_avtls000351286
039		9	_a201509030446 _bVLOAD _c201405060248 _dVLOAD _y201402171118 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aTA329-348
100	1		_aPhillips-Wren, Gloria. _eeditor. _9333553
245	1	0	_aIntelligent Decision Making: An AI-Based Approach / _cedited by Gloria Phillips-Wren, Nikhil Ichalkaranje, Lakhmi C. Jain.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2008.
300			_brecurso en línea.
336			_atexto _btxt _2rdacontent
337			_acomputadora _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_aarchivo de texto _bPDF _2rda
490	0		_aStudies in Computational Intelligence, _x1860-949X ; _v97
500			_aSpringer eBooks
505	0		_aBackground: Human Decision Making -- Understanding Human Decision Making – A Fundamental Step Towards Effective Intelligent Decision Support -- Cognitive Elements of Human Decision Making -- Methods: Computational Intelligence -- to Computational Intelligence for Decision Making -- Collaborative Decision Making Amongst Human and Artificial Beings -- Decision Analysis with Fuzzy Targets -- An Approximation Kuhn–Tucker Approach for Fuzzy Linear Bilevel Decision Making -- A Replanning Support for Critical Decision Making Situations: A Modelling Approach -- A Unifying Multimodel Taxonomy and Agent-Supported Multisimulation Strategy for Decision-Support -- Applications: Intelligent Decision Support -- A Consensus Support System for Group Decision Making Problems with Heterogeneous Information -- Evaluating Medical Decision Making Heuristics and Other Business Heuristics with Neural Networks -- Building Intelligent Sensor Networks with Multiagent Graphical Models -- An Intelligent Expert Systems' Approach to Layout Decision Analysis and Design under Uncertainty -- Using Self Organising Feature Maps to Unravel Process Complexity in a Hospital Emergency Department: A Decision Support Perspective -- Future Directions: Building a Decision Making Framework Using Agent Teams.
520			_aIntelligent Decision Support Systems have the potential to transform human decision making by combining research in artificial intelligence, information technology, and systems engineering. The field of intelligent decision making is expanding rapidly due, in part, to advances in artificial intelligence and network-centric environments that can deliver the technology. Communication and coordination between dispersed systems can deliver just-in-time information, real-time processing, collaborative environments, and globally up-to-date information to a human decision maker. At the same time, artificial intelligence techniques have demonstrated that they have matured sufficiently to provide computational assistance to humans in practical applications. This book includes contributions from leading researchers in the field beginning with the foundations of human decision making and the complexity of the human cognitive system. Researchers contrast human and artificial intelligence, survey computational intelligence, present pragmatic systems, and discuss future trends. This book will be an invaluable resource to anyone interested in the current state of knowledge and key research gaps in the rapidly developing field of intelligent decision support.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700	1		_aIchalkaranje, Nikhil. _eeditor. _9331287
700	1		_aJain, Lakhmi C. _eeditor. _9316542
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9783540768289
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-3-540-76829-6 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999			_c297672 _d297672