Objective Research objectives and content Deontic logic is a branch of modal logic that formalizes reasoning about obligations and Qualitative Decision Theory (QDT) is an area of artificial intelligence that explores expected utility that is representable using qualitative preferences and probabilities. There is a structural similarity between deontic logic and logics for QDT, which suggests that deontic logic can be used in a theory of QDT. However, both logics are based on different perspectives. Obligations are exogenous (they are imposed by a legal or moral code) while desires in logics for QDT are endogenous (coming from the agent). This is what we call the gap between deontic logic and QDT. The research objective is to bridge this gap such that deontic logic can be used in QDT. Training content (objective, benefit and expected impact) IRIT is the best centre in Europe for my present interest to study QDT. Moreover, there is mutual benefit of the visit, because my research on preference-based deontic logic and the research on QDT of Jerome Lang of IRIT are presently influencing each other. During the visit we can combine our knowledge,and I expect a long-term cooperation with a set of joint papers. Fields of science natural sciencescomputer and information sciencesartificial intelligence Programme(s) FP4-TMR - Specific research and technological development programme in the field of the training and mobility of researchers, 1994-1998 Topic(s) 0302 - Post-doctoral research training grants TM31 - Knowledge Engineering and Artificial Intelligence Call for proposal Data not available Funding Scheme RGI - Research grants (individual fellowships) Coordinator UNIVERSITE PAUL SABATIER DE TOULOUSE III EU contribution No data Address Route de Narbonne 118 31062 TOULOUSE France See on map Total cost No data Participants (1) Sort alphabetically Sort by EU Contribution Expand all Collapse all Not available Netherlands EU contribution No data Address See on map Total cost No data