Cel 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. Dziedzina nauki natural sciencescomputer and information sciencesartificial intelligence Program(-y) FP4-TMR - Specific research and technological development programme in the field of the training and mobility of researchers, 1994-1998 Temat(-y) 0302 - Post-doctoral research training grants TM31 - Knowledge Engineering and Artificial Intelligence Zaproszenie do składania wniosków Data not available System finansowania RGI - Research grants (individual fellowships) Koordynator UNIVERSITE PAUL SABATIER DE TOULOUSE III Wkład UE Brak danych Adres Route de Narbonne 118 31062 TOULOUSE Francja Zobacz na mapie Koszt całkowity Brak danych Uczestnicy (1) Sortuj alfabetycznie Sortuj według wkładu UE Rozwiń wszystko Zwiń wszystko Not available Niderlandy Wkład UE Brak danych Adres Zobacz na mapie Koszt całkowity Brak danych
