Nonmonotonic Desires - A Possibility Theory Viewpoint

If an agent desires that ϕ and desires that ψ, this agent often also desires that ϕ and ψ hold at the same time (ϕ ∧ ψ). However, there are cases where ϕ ∧ ψ may be found less satisfactory for the agent than each of ϕ or ψ alone. This paper is a first attempt at modeling such nonmonotonic desires. The approach is developed in the setting of possibility theory, since it has been recently pointed out that guaranteed (or strong) possibility measures are a good candidate for modeling graded desires. Although nonmonotonic reasoning has been studied extensively for knowledge, and that preferential nonmonotonic consequence relations can be faithfully represented in the possibilistic setting, nonmonotonic desires appear to require a different approach.

[1]  Didier Dubois,et al.  Modeling positive and negative information in possibility theory , 2008 .

[2]  Didier Dubois,et al.  A simple logic for reasoning about incomplete knowledge , 2014, Int. J. Approx. Reason..

[3]  Wolfgang Spohn,et al.  Ordinal Conditional Functions: A Dynamic Theory of Epistemic States , 1988 .

[4]  T. Penelhum A Treatise of Human Nature (review) , 2000 .

[5]  Sarit Kraus,et al.  Nonmonotonic Reasoning, Preferential Models and Cumulative Logics , 1990, Artif. Intell..

[6]  Daniel Lehmann,et al.  What does a Conditional Knowledge Base Entail? , 1989, Artif. Intell..

[7]  Léa Sombé P.R.C.-G.R.E.C.O. Reasoning under incomplete information in artificial intelligence: A comparison of formalisms using a single example , 2007 .

[8]  Didier Dubois,et al.  Possibilistic logic : a retrospective and prospective view , 2003 .

[9]  Grigoris Antoniou,et al.  Nonmonotonic reasoning , 1997 .

[10]  Steven Schockaert,et al.  Reasoning about Uncertainty and Explicit Ignorance in Generalized Possibilistic Logic , 2014, ECAI.

[11]  Victor W. Marek,et al.  Nonmonotonic reasoning : essays celebrating its 30th anniversary , 2011 .

[12]  Didier Dubois,et al.  Possibility Theory: Qualitative and Quantitative Aspects , 1998 .

[13]  Didier Dubois,et al.  Practical Handling of Exception-Tainted Rules and Independence Information in Possibilistic Logic , 1998, Applied Intelligence.

[14]  Léa Sombé,et al.  Reasoning under incomplete information in artificial intelligence: A comparison of formalisms using a single example , 1990, Int. J. Intell. Syst..

[15]  Henri Prade,et al.  Handling uncertainty and defeasibility in a possibilistic logic setting , 2008, Int. J. Approx. Reason..

[16]  Lluis Godo,et al.  A graded BDI agent model to represent and reason about preferences , 2011, Artif. Intell..

[17]  H. Prade,et al.  Possibilistic logic , 1994 .

[18]  Didier Dubois,et al.  Bipolar Possibilistic Representations , 2002, UAI.

[19]  Pierpaolo Battigalli,et al.  Strong Belief and Forward Induction Reasoning , 2002, J. Econ. Theory.

[20]  Didier Dubois,et al.  Knowledge-Driven versus Data-Driven Logics , 2000, J. Log. Lang. Inf..

[21]  Didier Dubois,et al.  Epistemic Entrenchment and Possibilistic Logic , 1991, Artif. Intell..

[22]  Emiliano Lorini,et al.  Bipolar Possibility Theory as a Basis for a Logic of Desires and Beliefs , 2013, SUM.

[23]  Didier Dubois,et al.  Nonmonotonic Reasoning, Conditional Objects and Possibility Theory , 1997, Artif. Intell..