Description: Probabilistic Reasoning and Decision Making in Sensory-Motor Systems Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Pierre Bessiere, Christian Laugier, Roland Siegwart Format: Paperback Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Germany Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K ISBN-13: 9783642097843, 978-3642097843 Synopsis 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.
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Book Title: Probabilistic Reasoning and Decision Making in Sensory-Motor S...
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: Pierre Bessiere, Roland Siegwart, Christian Laugier
Subject Area: Material Science, Mechanical Engineering
Series: Springer Tracts in Advanced Robotics
Item Width: 155 mm
Format: Paperback