Probabilistic Reasoning and Decision Making in Sensory-Motor Systems
Language: English
Published by Springer Berlin Heidelberg, 2008
Series: Book 40 of 153 - Springer Tracts in Advanced Robotics
- Hardcover
- New
Condition: New
£ 155.30
Quantity: Over 20 available
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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 contextsProbabilistic Reasonin.
Seller Inventory # 4901100
- Title
- Probabilistic Reasoning and Decision Making in Sensory-Motor Systems
- Author
- Bessière, Pierre|Laugier, Christian|Siegwart, Roland
- Publisher
- Springer Berlin Heidelberg
- Publication year
- 2008
- Condition
- New
- Binding
- Gebunden
- Language
- English
- ISBN 10
- 3540790063
- ISBN 13
- 9783540790068
- Series
- Book 40 of 153: Springer Tracts in Advanced Robotics
- Seller catalogs
- Mathematik/Naturwissenschaften/Technik/Medizin
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.
"Synopsis" may belong to another edition of this title.
From the 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.
"About the title" may belong to another edition of this title.
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