Markov decisionprocesses(MDPs) haveproven to be popular models for decision-theoretic planning, but standard dynamic programming algorithms for solving MDPs rely on explicit, stat...
We present a new approach to dealing with default information based on the theory of belief functions. Our semantic structures, inspired by Adams' -semantics, are epsilon-beli...
Salem Benferhat, Alessandro Saffiotti, Philippe Sm...
Over the years increasingly sophisticated planning algorithms have been developed. These have made for more efficient planners, but unfortunately these planners still suffer from ...
Abstract. In this paper we focus on the problem of integrating knowledge bases expressed in a description logic. To this end, we propose three basic operations: union, intersection...
Domain independent planners can produce better-quality plans through the use of domain-speci c knowledge, typically encoded as search control rules. The planning-by-rewriting appro...
Abstract. Today’s case based reasoning applications face several challenges. In a typical application, the case bases grow at a very fast rate and their contents become increasin...
Abstract. In the GRAAD project we are developing a knowledgebased system able of determine routes in a simulated urban environment and to generate natural language descriptions whi...
Bernard Moulin, Driss Kettani, Benjamin Gauthier, ...