£80.85

Springer Probabilistic Reasoning and Decision Making Book

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Description

Explore advanced research in cognitive systems with Probabilistic Reasoning and Decision Making in Sensory-Motor Systems. This volume, part of the Springer Tracts in Advanced Robotics (46), brings together significant contributions from the European cognitive systems research community. Authored by Pierre Bessiere, Christian Laugier, and Roland Siegwart, the text reports on findings from major European projects including Bayesian Inspired Brain and Artifact (BIBA) and the Bayesian Approach to Cognitive Systems (BACS). This collection offers a deep look into the work of leading academic institutions, focusing on the development of new probabilistic models and algorithms. Through fourteen detailed chapters, readers can examine research regarding perception and action, as well as new probabilistic methods for sensory-motor systems. This book serves as a comprehensive resource for those studying AI, machine learning, and robotics, providing a technical foundation in how probabilistic reasoning influences decision-making processes in complex systems.

Key Features

Includes fourteen chapters of research from leading academic institutions in Europe.

Covers new probabilistic models and algorithms specifically designed for perception and action.

Features research contributions from the BIBA and BACS European projects.

Part of the Springer Tracts in Advanced Robotics series, volume 46.

Provides technical insights into probabilistic methods for sensory-motor systems.

Authored by experts Pierre Bessiere, Christian Laugier, and Roland Siegwart.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
15 May 2008
Listed Since
12 March 2008

Barcode

No barcode data available

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