Description: Probabilistic Reasoning and Decision Making in Sensory-Motor Systems by Christian Laugier, Roland Siegwart, Pierre Bessière 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. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description 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 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. Back Cover 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 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. Table of Contents Probability 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. Review From the reviews:"This collection of papers presents results from 12 different PhD theses that fall under a unifying Bayesian programming theme. … The book is relevant to researchers in robotics who are interested in approaches on uncertainty." (Yousri El Fattah, ACM Computing Reviews, July, 2009) Long Description 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 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. Review Quote From the reviews:"This collection of papers presents results from 12 different PhD theses that fall under a unifying Bayesian programming theme. The book is relevant to researchers in robotics who are interested in approaches on uncertainty." (Yousri El Fattah, ACM Computing Reviews, July, 2009) Feature Provides a unique collection of cognitive systems research Addresses key issues concerned with Bayesian programming, navigation, filtering, modelling and mapping, with applications in a number of different contexts Details ISBN3642097847 Year 2010 ISBN-10 3642097847 ISBN-13 9783642097843 Format Paperback Publication Date 2010-10-22 Imprint Springer-Verlag Berlin and Heidelberg GmbH & Co. K Place of Publication Berlin Country of Publication Germany Edited by Pierre Bessière DEWEY 620 Edition 1st Short Title PROBABILISTIC REASONING & DECI Language English Media Book Series Number 46 Pages 378 Author Pierre Bessière Publisher Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Edition Description Softcover reprint of hardcover 1st ed. 2008 Series Springer Tracts in Advanced Robotics Alternative 9783540790068 Illustrations XIX, 378 p. Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:137900904;
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ISBN-13: 9783642097843
Book Title: Probabilistic Reasoning and Decision Making in Sensory-Motor Syst
Number of Pages: 378 Pages
Language: English
Publication Name: Probabilistic Reasoning and Decision Making in Sensory-Motor Systems
Publisher: Springer-Verlag Berlin and Heidelberg Gmbh & Co. Kg
Publication Year: 2010
Subject: Engineering & Technology, Computer Science
Item Height: 235 mm
Item Weight: 611 g
Type: Textbook
Author: Christian Laugier, Pierre Bessiere, Roland Siegwart
Subject Area: Material Science, Mechanical Engineering
Item Width: 155 mm
Format: Paperback
