000			03283nam a22004095i 4500
001			298486
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007			cr nn 008mamaa
008			150903s2008 gw | o |||| 0|eng d
020			_a9783540877028 _99783540877028
024	7		_a10.1007/9783540877028 _2doi
035			_avtls000352230
039		9	_a201509030935 _bVLOAD _c201405060302 _dVLOAD _y201402171156 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aQ334-342
100	1		_aPezzulo, Giovanni. _eeditor. _9333009
245	1	4	_aThe Challenge of Anticipation : _bA Unifying Framework for the Analysis and Design of Artificial Cognitive Systems / _cedited by Giovanni Pezzulo, Martin V. Butz, Cristiano Castelfranchi, Rino Falcone.
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		_aLecture Notes in Computer Science, _x0302-9743 ; _v5225
500			_aSpringer eBooks
505	0		_aTheory -- Introduction: Anticipation in Natural and Artificial Cognition -- The Anticipatory Approach: Definitions and Taxonomies -- Benefits of Anticipations in Cognitive Agents -- Models, Architectures, and Applications -- Anticipation in Attention -- Anticipatory, Goal-Directed Behavior -- Anticipation and Believability -- Anticipation and Emotions for Goal Directed Agents -- A Reinforcement-Learning Model of Top-Down Attention Based on a Potential-Action Map -- Anticipation by Analogy -- Anticipation in Coordination -- Endowing Artificial Systems with Anticipatory Capabilities: Success Cases.
520			_aThis book proposes a unifying approach for the analysis and design of artificial cognitive systems: The Anticipatory Approach. In 11 coherent chapters, the authors of this State-of-the-Art Survey propose a foundational view of the importance of dealing with the future, of gaining some autonomy from current environmental data, and of endogenously generating sensorimotor and abstract representations. A meaningful taxonomy for anticipatory cognitive mechanisms is put forward, which distinguishes between the types of predictions and the different influences of these predictions on actual behavior and learning. Thus a new unifying perspective on cognitive systems is given. The Anticipatory Approach described in this book will not only aid in the analysis of cognitive systems, but will also serve as an inspiration and guideline for the progressively more advanced and competent design of large, but modular, artificial cognitive systems.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700	1		_aButz, Martin V. _eeditor. _9328706
700	1		_aCastelfranchi, Cristiano. _eeditor. _9334899
700	1		_aFalcone, Rino. _eeditor. _9329329
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9783540877011
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-3-540-87702-8 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999			_c298486 _d298486