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Probabilistic Reasoning and Decision Making in Sensory-Motor Systems

Pierre Bessière

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ISBN 10: 3642097847 / ISBN 13: 9783642097843
Editore: Berlin Springer
Nuovi Condizione: Neu Brossura
Da Rhein-Team Lörrach Ivano Narducci e.K. (Lörrach, Germania)

Libreria AbeBooks dal 11 gennaio 2012

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Neuware - 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. 378 pp. Englisch. Codice inventario libreria 9783642097843

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Titolo: Probabilistic Reasoning and Decision Making ...

Casa editrice: Berlin Springer

Legatura: Taschenbuch

Condizione libro:Neu

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The chapters contain a sizable segment of cognitive systems research in Europe. Contributions come from leading academic institutions within the European projects Bayesian Inspired Brain and Artifact (BIBA) and Bayesian Approach to Cognitive Systems (BACS).

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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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