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 contributions from leading academic institutions broug...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Bessière, Pierre (Editor), Laugier, Christian (Editor), Siegwart, Roland (Editor)
Format: Electronic eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
Series:Springer Tracts in Advanced Robotics, 46
Subjects:
Online Access:Full Text via HEAL-Link
Description
Summary: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.
Physical Description:XIX, 378 p. online resource.
ISBN:9783540790075
ISSN:1610-7438 ;