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
Tabla de Contenidos:
  • Probability as an Alternative to Logic for Rational Sensory-Motor Reasoning and Decision
  • Basic Concepts of Bayesian Programming
  • Robotics
  • The CyCab: Bayesian Navigation on Sensory-Motor Trajectories
  • The Bayesian Occupation Filter
  • Topological SLAM
  • Probabilistic Contextual Situation Analysis
  • Bayesian Maps: Probabilistic and Hierarchical Models for Mobile Robot Navigation
  • Bayesian Approach to Action Selection and Attention Focusing
  • Industrial Applications
  • BCAD: A Bayesian CAD System for Geometric Problems Specification and Resolution
  • 3D Human Hip Volume Reconstruction with Incomplete Multimodal Medical Images
  • Playing to Train Your Video Game Avatar
  • Cognitive Modelling
  • Bayesian Modelling of Visuo-Vestibular Interactions
  • Bayesian Modelling of Perception of Structure from Motion
  • Building a Talking Baby Robot: A Contribution to the Study of Speech Acquisition and Evolution.

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