A Possibility Theory-based Approach to Desire Change

Abstract : Desire is quite different from belief. While the accumulation of beliefs tend to reduce the remaining possible worlds they point at, the accumulation of desires tend to increase the set of states of affairs tentatively considered as satisfactory. Indeed beliefs are expected to be closed under conjunctions, while one can argue that endorsing ϕ∨ψ as a desire means to desire both ϕ and ψ. Still desiring ϕ and ¬ϕ at the same time is not usually regarded as rational, since it does not make much sense to desire one thing and its contrary at the same time. Thus when a new desire is added to the set of desires of an agent, a revision process may be necessary. Just as belief revision relies on an epistemic entrenchment relation, desire relation is based on a hedonic entrenchment relation satisfying other properties, due to the different natures of belief and desire. Epistemic entrenchment relations are known to be qualitative necessity relations. In this paper it is shown that a well-behaved desire revision operation obeying a set of reasonable postulates is underlied by a qualitative guaranteed possibility relation in the sense of possibility theory. Then the general framework of possibilistic logic provides a syntactic setting for encoding desire change.
Keywords : Reasoning
Complete list of metadatas

Cited literature [28 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-01436167
Contributor : Open Archive Toulouse Archive Ouverte (oatao) <>
Submitted on : Monday, January 16, 2017 - 11:35:10 AM
Last modification on : Friday, October 11, 2019 - 8:22:50 PM
Long-term archiving on : Monday, April 17, 2017 - 2:32:23 PM

File

dubois_17241.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01436167, version 1
  • OATAO : 17241

Collections

Citation

Didier Dubois, Emiliano Lorini, Henri Prade. A Possibility Theory-based Approach to Desire Change. International Workshop on Defeasible and Ampliative Reasoning (DARe 2016) co-located with the 22th European Conference on Artificial Intelligence (ECAI 2016), Aug 2016, The Hague, Netherlands. pp. 1-9. ⟨hal-01436167⟩

Share

Metrics

Record views

107

Files downloads

120