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Conference papers

Decision making at a crossroad: A negotiation of contexts

Patrick Brézillon 1 Juliette Brézillon 2 Jean-Charles Pomerol 1
LIP6 - Laboratoire d'Informatique de Paris 6
2 MALIRE - Machine Learning and Information Retrieval
LIP6 - Laboratoire d'Informatique de Paris 6
Abstract : The initial training generally puts the driver in a supervised learning context that is not the autonomous-driving context in which decision making and responsibility are assumed by the driver alone. As a consequence, the beginner is not able to contextualize the learned procedures and transform them in effective practices, to identify and manage pre-critical situations and to evaluate the degree of danger of situations. Starting from the studies and works presented in the literature, we propose a twofold approach based on the one hand on global methods and, on the other hand, on local methods. We first represent a driver in two spaces (situations and behaviors) related through scenarios. The situation space is an objective representation by a lattice and the other one is a subjective representation by contextual graphs. Our second goal is to provide the driver with a system for a self training and self evaluation of his behavior in different pre-critical situations. This paper discusses the cognitive part of the approach and objectives on a case study.
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Submitted on : Tuesday, June 28, 2016 - 5:44:01 PM
Last modification on : Friday, January 8, 2021 - 5:34:12 PM


  • HAL Id : hal-01338551, version 1


Patrick Brézillon, Juliette Brézillon, Jean-Charles Pomerol. Decision making at a crossroad: A negotiation of contexts. Joint International Conference on Computing and Decision Making, Jun 2006, Montréal, Canada. pp.2574-2593. ⟨hal-01338551⟩



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