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Context sensitive decision support systems in road safety

Patrick Brézillon 1 Juliette Brézillon 2
LIP6 - Laboratoire d'Informatique de Paris 6
2 MALIRE - Machine Learning and Information Retrieval
LIP6 - Laboratoire d'Informatique de Paris 6
Abstract : Enterprises often embed decision-making processes in procedures in order to address issues in all cases. However, procedures often lead to sub-optimal solutions for any specific decision. As a consequence, each actor develops the practice of addressing decision making in a specific context. Actors contextualize decision making when enterprises are obliged to decontextualize decision making to limit the number of procedures and cover whole classes of decision-making processes by generalization. Practice modeling is not easy because there are as many practices as contexts of occurrence. This chapter proposes a way to deal effectively with practices. Based on a conceptual framework for dealing with context, we present a context-based representation formalism for modeling decision making and its realization by actors. This formalism is called contextual graphs and is discussed using the example of modeling car drivers’ behaviors.
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Submitted on : Wednesday, April 13, 2016 - 3:50:04 PM
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Patrick Brézillon, Juliette Brézillon. Context sensitive decision support systems in road safety. Handbook on Decision Support Systems 2, Springer-Verlag, pp.107-123, 2008, International Handbook on Information Systems, ⟨10.1007/978-3-540-48716-6_6⟩. ⟨hal-01302156⟩



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