Probabilistic Reasoning and Decision Making in Sensory-Motor Systems

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 broug...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Bessière, Pierre (Editor ), Laugier, Christian (Editor ), Siegwart, Roland (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edición:1st ed. 2008.
Colección:Springer Tracts in Advanced Robotics, 46
Temas:
Control engineering.
Robotics.
Automation.
Artificial intelligence.
System theory.
Control theory.
Control, Robotics, Automation.
Artificial Intelligence.
Systems Theory, Control .
Acceso en línea:Texto Completo
Descripción
Sumario: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.
Descripción Física:XIX, 378 p. online resource.
ISBN:9783540790075
ISSN:1610-742X ;

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