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Probabilistic Methodology and Techniques for Artefact Conception and Development

Bessiere, Dr P (2003) Probabilistic Methodology and Techniques for Artefact Conception and Development. [Departmental Technical Report]

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Abstract

The purpose of this paper is to make a state of the art on probabilistic methodology and techniques for artefact conception and development. It is the 8th deliverable of the BIBA (Bayesian Inspired Brain and Artefacts) project. We first present the incompletness problem as the central difficulty that both living creatures and artefacts have to face: how can they perceive, infer, decide and act efficiently with incomplete and uncertain knowledge?. We then introduce a generic probabilistic formalism called Bayesian Programming. This formalism is then used to review the main probabilistic methodology and techniques. This review is organized in 3 parts: first the probabilistic models from Bayesian networks to Kalman filters and from sensor fusion to CAD systems, second the inference techniques and finally the learning and model acquisition and comparison methodologies. We conclude with the perspectives of the BIBA project as they rise from this state of the art.

Item Type:Departmental Technical Report
Additional Information:available at: http://www-laplace.imag.fr/publications/Rayons/RR-4730.pdf
Keywords:Bayesian programming, Bayesian modelling, Bayesian reasoning, Bayesian learning, Bayesian networks
Subjects:Computer Science > Robotics
ID Code:3741
Deposited By:malrait, Olivier
Deposited On:10 Aug 2004
Last Modified:11 Mar 2011 08:55

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