Probabilistic Reasoning and Decision Making in Sensory-Motor Systems

Pierre Bessière

ISBN 10: 3642097847 / ISBN 13: 9783642097843

Published by Springer, Berlin, Springer Berlin Heidelberg, Springer, 2010

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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.

Seller Inventory # 9783642097843

Bibliographic Details

• Title: Probabilistic Reasoning and Decision Making in Sensory-Motor Systems
• Publisher: Springer, Berlin, Springer Berlin Heidelberg, Springer
• Publication Date: 2010
• Language: English
• ISBN 10: 3642097847
• ISBN 13: 9783642097843
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 21D millimeters 235 millimeters width by 155 millimeters height by 21 millimeters depth
• Weight: 604 grams

About this title

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.