000			03637nam a22004335i 4500
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007			cr nn 008mamaa
008			220601s2013 sz | s |||| 0|eng d
020			_a9783031015649
024	7		_a10.1007/978-3-031-01564-9 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQ335 _b2013 EB
100	1		_aGeffner, Hector _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687854
245	1	2	_aA Concise Introduction to Models and Methods for Automated Planning _cby Hector Geffner, Blai Bonet
250			_a1st edition 2013
264		1	_aCham _bSpringer International Publishing _c2013
300			_a1 recurso en línea (XII, 132 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Artificial Intelligence and Machine Learning _x1939-4616
505	0		_aPreface -- Planning and Autonomous Behavior -- Classical Planning: Full Information and Deterministic Actions -- Classical Planning: Variations and Extensions -- Beyond Classical Planning: Transformations -- Planning with Sensing: Logical Models -- MDP Planning: Stochastic Actions and Full Feedback -- POMDP Planning: Stochastic Actions and Partial Feedback -- Discussion -- Bibliography -- Author's Biography.
520			_aPlanning is the model-based approach to autonomous behavior where the agent behavior is derived automatically from a model of the actions, sensors, and goals. The main challenges in planning are computational as all models, whether featuring uncertainty and feedback or not, are intractable in the worst case when represented in compact form. In this book, we look at a variety of models used in AI planning, and at the methods that have been developed for solving them. The goal is to provide a modern and coherent view of planning that is precise, concise, and mostly self-contained, without being shallow. For this, we make no attempt at covering the whole variety of planning approaches, ideas, and applications, and focus on the essentials. The target audience of the book are students and researchers interested in autonomous behavior and planning from an AI, engineering, or cognitive science perspective. Table of Contents: Preface / Planning and Autonomous Behavior / Classical Planning: Full Information and Deterministic Actions / Classical Planning: Variations and Extensions / Beyond Classical Planning: Transformations / Planning with Sensing: Logical Models / MDP Planning: Stochastic Actions and Full Feedback / POMDP Planning: Stochastic Actions and Partial Feedback / Discussion / Bibliography / Author's Biography.
988			_aSynthesis Collection of Technology_2013
650		7	_2embne _9145258 _aSistemas de información en la gestión _xModelos matemáticos
650		7	_2embne _9141176 _aToma de decisiones _xModelos matemáticos
650		7	_2embne _aInteligencia artificial _xModelos matemáticos _9413115
700	1		_aBonet, Blai _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687855 _c(Computer scientist)
776	0	8	_iPrinted edition: _z9783031004360
776	0	8	_iPrinted edition: _z9783031026928
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-01564-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b03/2023 _dz _esc _zSI