INSTITUTNATIONALDERECHERCHEENINFORMATIQUEETENAUTOMATIQUE Survey: Probabilistic Methodology and Techniques for Artefact Conception and Development Pierre Bessière & the BIBA - INRIA Research Group1 - Projet CYBERMOVE No4730 Février2003 THEM` E3 apport de recherche ISRN INRIA/RR--4730--FR+ENG ISSN 0249-6399 Survey: Probabilistic Methodology and Techniques for Artefact Conception and Development Pierre Bessière & the BIBA - INRIA Research Group1 Projet CYBERMOVE Thème 3 : Interaction homme-machine, images, données, connaissances
[email protected] Rapport de recherche n°4730 - février 2003 Abstract: The purpose of this paper is to make a state of the art on probabilistic methodology and tech- niques 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 diffi- culty 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. Keywords: Bayesian programming, Bayesian modelling, Bayesian reasoning, Bayesian learning, Bayesian networks 1. JUAN-MANUEL AHUACTZIN, OLIVIER AYCARD, DAVID BELLOT, FRANCIS COLAS, CHRISTOPHE COUÉ, JULIEN DIARD, RUBEN GARCIA, CARLA KOIKE, OLIVIER LEBEL- TEL, RONAN LEHY, OLIVIER MALRAIT, EMMANUEL MAZER, KAMEL MEKHNACHA, CÉDRIC PRADALIER, ANNE SPALANZANI 2 Bessière et al.