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001			304147
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008			150903s2012 gw | o |||| 0|eng d
020			_a9783642246470 _99783642246470
024	7		_a10.1007/9783642246470 _2doi
035			_avtls000358074
039		9	_a201509030545 _bVLOAD _c201405070225 _dVLOAD _y201402191513 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aQ342
100	1		_aGuy, Tatiana Valentine. _eeditor. _9342920
245	1	0	_aDecision Making with Imperfect Decision Makers / _cedited by Tatiana Valentine Guy, Miroslav Kárný, David H. Wolpert.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2012.
300			_axiv, 198 páginas 50 ilustraciones, 39 ilustraciones en color. _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		_aIntelligent Systems Reference Library, _x1868-4394 ; _v28
500			_aSpringer eBooks
505	0		_a1 Bounded Rationality in Multiagent Systems Using Decentralized Metareasoning -- 2 On Support of Imperfect Bayesian Participants -- 3 Trading value and information in MDPs -- 4 Game theoretic modeling of pilot behavior during mid-air encounters -- 5 Scalable Negotiation Protocol based on Issue-Grouping for Highly Nonlinear Situation -- 6 The Social Ultimatum Game -- 7 Neuroheuristics of Decision Making: from neuronal activity to EEG.
520			_aPrescriptive Bayesian decision making has reached a high level of maturity and is well-supported algorithmically. However, experimental data shows that real decision makers choose such Bayes-optimal decisions surprisingly infrequently, often making decisions that are badly sub-optimal. So prevalent is such imperfect decision-making that it should be accepted as an inherent feature of real decision makers living within interacting societies. To date such societies have been investigated from an economic and gametheoretic perspective, and even to a degree from a physics perspective. However, little research has been done from the perspective of computer science and associated disciplines like machine learning, information theory and neuroscience. This book is a major contribution to such research. Some of the particular topics addressed include: • How should we formalise rational decision making of a single imperfect decision maker? • Does the answer change for a system of imperfect decision makers? • Can we extend existing prescriptive theories for perfect decision makers to make them useful for imperfect ones? • How can we exploit the relation of these problems to the control under varying and uncertain resources constraints as well as to the problem of the computational decision making? • What can we learn from natural, engineered, and social systems to help us address these issues?
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700	1		_aKárný, Miroslav. _eeditor. _9322686
700	1		_aWolpert, David H. _eeditor. _9342921
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9783642246463
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-3-642-24647-0 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999			_c304147 _d304147