ENGLISH

Probabilistic Reasoning and Decision Making in Sensory-Motor Systems

By Christian Laugier , Roland Siegwart (eds.) , Pierre Bessière (auth.) , Pierre Bessière

Book information

Publisher
Springer-Verlag Berlin Heidelberg
Year
2008
ISBN
978-3-540-79006-8, 978-3-540-79007-5
DOI
10.1007/978-3-540-79007-5
Language
english
Format
PDF
Filesize
31 MB (32734802 bytes)
Series
Springer Tracts in Advanced Robotics 46
Edition
1
Pages
378\377
Orientation
yes
Scanned
yes
Time added
2013-08-01 04:00:00
Automation and Robotics; Artificial Intelligence (Control

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.

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