Markov's Frog

Schroedinger's cat's next state was indeterminate. Pavlov's dog's next state was increasingly predictable. Markov's frog's next state depends only on his current state: and so, as a French philosopher of the XXth century pointed out, the question is "dans quel état j'erre?".

Name:
Location: Alsace, France

Monday, January 23, 2006

Workshop on Bayesian Cognition

I missed another possibly interesting workshop in Paris, France, January 16 - 18, 2006.

Organized by the bayesian-cognition community,
Scope and goal:
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Animals and artificial systems alike are faced with the problem of making inferences about their environments and choosing appropriate responses based on incomplete, uncertain and noisy data.
Probabilistic models and algorithms are flourishing in both life sciences an information sciences as ways of understanding the behavior of subjects and the neural processing underlying this behavior, and building robots and artificial agents that can function effectively in such circumstances.
This workshop will gather life and information scientists to discuss the latest advances in this subject, specifically addressing the following topics:
  • Probability theory as an alternative to logic
  • Probabilistic models of neurons and assembly of neurons
  • Probabilistic models of CNS functionality
  • Stochastic synchronisation of neuronal assemblies
  • Probabilistic interpretation of psychological and psychophysical data
  • Probabilistic inference and learning algorithms
  • Probabilistic robotics

It did say "limited number of places", though. Unfortunately, there is no mention of proceedings to be published.

Despite the stated purpose, the topics look to be more those of information scientists than life scientists. I hope they had a good time!

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