Probabilistic Reasoning and Decision Making in Sensory-Motor Systems
Language: English
Published by Springer, 2010
Series: Book 68 of 153 - Springer Tracts in Advanced Robotics
- Softcover
- New
Seller: Biblios, frankfurt am main, hessen, GermanyBiblios
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Condition: New
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- Title
- Probabilistic Reasoning and Decision Making in Sensory-Motor Systems
- Author
- Bessi?re Pierre Laugier Christian Siegwart Roland
- Publisher
- Springer
- Publication year
- 2010
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 3642097847
- ISBN 13
- 9783642097843
- Series
- Book 68 of 153: Springer Tracts in Advanced Robotics
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.
Biblios
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