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008 150903s2008 gw | o |||| 0|eng d
020 _a9783540790075
_99783540790075
024 7 _a10.1007/9783540790075
_2doi
035 _avtls000351779
039 9 _a201509030930
_bVLOAD
_c201405060255
_dVLOAD
_y201402171145
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
100 1 _aBessière, Pierre.
_eeditor.
_9335137
245 1 0 _aProbabilistic Reasoning and Decision Making in Sensory-Motor Systems /
_cedited by Pierre Bessière, Christian Laugier, Roland Siegwart.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2008.
300 _axx, 378 P., 152 ilustraciones, Also available in online.
_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 _aSpringer Tracts in Advanced Robotics,
_x1610-7438 ;
_v46
500 _aSpringer eBooks
505 0 _aProbability as an Alternative to Logic for Rational Sensory–Motor Reasoning and Decision -- Basic Concepts of Bayesian Programming -- Robotics -- The CyCab: Bayesian Navigation on Sensory–Motor Trajectories -- The Bayesian Occupation Filter -- Topological SLAM -- Probabilistic Contextual Situation Analysis -- Bayesian Maps: Probabilistic and Hierarchical Models for Mobile Robot Navigation -- Bayesian Approach to Action Selection and Attention Focusing -- Industrial Applications -- BCAD: A Bayesian CAD System for Geometric Problems Specification and Resolution -- 3D Human Hip Volume Reconstruction with Incomplete Multimodal Medical Images -- Playing to Train Your Video Game Avatar -- Cognitive Modelling -- Bayesian Modelling of Visuo-Vestibular Interactions -- Bayesian Modelling of Perception of Structure from Motion -- Building a Talking Baby Robot: A Contribution to the Study of Speech Acquisition and Evolution.
520 _aProbabilistic Reasoning and Decision Making in Sensory-Motor Systems by Pierre Bessiere, Christian Laugier and Roland Siegwart provides a unique collection of a sizable segment of the cognitive systems research community in Europe. It reports on contributions from leading academic institutions brought together within the European projects Bayesian Inspired Brain and Artifact (BIBA) and Bayesian Approach to Cognitive Systems (BACS). This fourteen-chapter volume covers important research along two main lines: new probabilistic models and algorithms for perception and action, new probabilistic methodology and techniques for artefact conception and development. The work addresses key issues concerned with Bayesian programming, navigation, filtering, modelling and mapping, with applications in a number of different contexts.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aLaugier, Christian.
_eeditor.
_9333248
700 1 _aSiegwart, Roland.
_eeditor.
_9333898
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9783540790068
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-3-540-79007-5
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c298632
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