Bridging the gap between deontic logic and qualitative decision theory

Informations projet

N° de convention de subvention: FMBI972315

Projet clôturé

Date de début 1 Decembre 1997

Date de fin 30 Novembre 1998

Financé au titre de

• Specific research and technological development programme in the field of the training and mobility of researchers, 1994-1998

Coût total Aucune donnée

Contribution de l’UE Aucune donnée

Coordonné par

UNIVERSITE PAUL SABATIER DE TOULOUSE III
France

Objectif

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.

Champ scientifique (EuroSciVoc)

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• sciences naturelles › informatique et science de l'information › intelligence artificielle

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Programme(s)

• FP4-TMR - Specific research and technological development programme in the field of the training and mobility of researchers, 1994-1998

Thème(s)

• 0302 - Post-doctoral research training grants
• TM31 - Knowledge Engineering and Artificial Intelligence

Appel à propositions

Données non disponibles

Régime de financement

RGI -

Coordinateur

UNIVERSITE PAUL SABATIER DE TOULOUSE III

• Contribution de l’UE: Aucune donnée
• Adresse: Route de Narbonne 118 ; 31062 TOULOUSE ; France
• Coût total: Aucune donnée

Participants (1)

Not available

Pays-Bas

• Contribution de l’UE: Aucune donnée
• Coût total: Aucune donnée