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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