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Part I Introduction.- Probability as an alternative to logic for rational sensory- motor reasoning and decision.- Basic Concepts of Bayesian Programming.- Part II 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.- Part III 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.- Part IV 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.
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Add Probabilistic Reasoning and Decision Making in Sensory-Motor Systems, Probabilistic 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 contribut, Probabilistic Reasoning and Decision Making in Sensory-Motor Systems to the inventory that you are selling on WonderClubX
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Add Probabilistic Reasoning and Decision Making in Sensory-Motor Systems, Probabilistic 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 contribut, Probabilistic Reasoning and Decision Making in Sensory-Motor Systems to your collection on WonderClub |