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Probabilistic Reasoning and Decision Making in Sensory-Motor Systems

Pierre Bessière

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ISBN 10: 3540790063 / ISBN 13: 9783540790068
Published by Springer-Verlag Gmbh Mai 2008, 2008
New Condition: Neu
From Agrios-Buch (Bergisch Gladbach, Germany)

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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. Bookseller Inventory # 9783540790068

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Bibliographic Details

Title: Probabilistic Reasoning and Decision Making ...

Publisher: Springer-Verlag Gmbh Mai 2008

Publication Date: 2008

Binding: Buch

Book Condition:Neu

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Synopsis:

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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"This collection of papers presents results from 12 different PhD theses that fall under a unifying Bayesian programming theme. ... The book is relevant to researchers in robotics who are interested in approaches on uncertainty." (Yousri El Fattah, ACM Computing Reviews, July, 2009)

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