Working with Preferences: Less Is More

Kaci, Souhila

doi:10.1007/978-3-642-17280-9

Cited by 72 publications

(48 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, according to [150,147,148], the source of the problem concerning removing attacks resides in a misunderstanding of Dung's framework. The abstract nature of Dung's framework imposes a careful instantiation of it and, in particular, a suitable choice of the appropriate defeat relation.…”

Section: Preferences In Argumentation Theorymentioning

confidence: 99%

Preferences in artificial intelligence

Pigozzi

Tsoukiàs

Viappiani

2015

Ann Math Artif Intell

View full text Add to dashboard Cite

Section: Preferences In Argumentation Theorymentioning

confidence: 99%

Preferences in artificial intelligence

Pigozzi

Tsoukiàs

Viappiani

2015

Ann Math Artif Intell

View full text Add to dashboard Cite

“…The safe dominance is natural in this setting as a very conservative risk-free understanding of A B, akin to interval orderings [12]. Pessimistic and optimistic dominance are milder views, and both make sense, as explored by Benferhat et al [13], Kaci and van den Torre [14,15], contrary to the case of representing the plausibility and certainty of formulas. However, preference modelling is not in the scope of this paper.…”

Section: Comparing Sets Of Totally Ordered Elementsmentioning

confidence: 99%

On the Semantics of Partially Ordered Bases

Cayrol

Dubois

Touazi

2014

Lecture Notes in Computer Science

View full text Add to dashboard Cite

Abstract. This paper presents first results toward the extension of possibilistic logic when the total order on formulas is replaced by a partial preorder. Few works have dealt with this matter in the past but they include some by Halpern, and Benferhat et al. Here we focus on semantic aspects, namely the construction of a partial order on interpretations from a partial order on formulas and conversely. It requires the capability of inducing a partial order on subsets of a set from a partial order on its elements. The difficult point lies in the fact that equivalent definitions in the totally ordered case are no longer equivalent in the partially ordered one. We give arguments for selecting one approach extending comparative possibility and its preadditive refinement, pursuing some previous works by Halpern. It comes close to non-monotonic inference relations in the style of Kraus Lehmann and Magidor. We define an intuitively appealing notion of closure of a partially ordered belief base from a semantic standpoint, and show its limitations in terms of expressiveness, due to the fact that a partial ordering on subsets of a set cannot be expressed by means of a single partial order on the sets of elements. We also discuss several existing languages and syntactic inference techniques devised for reasoning from partially ordered belief bases in the light of this difficulty. The long term purpose is to find a proof method adapted to partially ordered formulas, liable of capturing a suitable notion of semantic closure.

show abstract

“…In [1], the authors suggested to vote on extensions. Another idea introduced in [9,6] was to use preferences on pieces of information that are used to generate the arguments. These preferences can represent either the importance or the confidence of the information and are usually gathered from experts.…”

Section: Introductionmentioning

confidence: 99%

Arguing About End-of-Life of Packagings: Preferences to the Rescue

Yun

Bisquert

Buche

et al. 2016

Communications in Computer and Information Science

View full text Add to dashboard Cite

Abstract. Argumentation methods and associated tools permit to analyze arguments against or in favor of a set of alternatives under discussion. The outputs of the argument methods are sets of conflict-free arguments collectively defending each other, called extensions. In case of multiple extensions, it is often difficult to select one out of many alternatives. We present in this paper the implementation of an complementary approach which permits to filter or rank extensions according to the expression of preferences. Methods and tools are illustrated on a real use case in food packagings. The aim is to help the industry choose among different end-of-life possibilities by linking together consumer behavior insights, socio-economic developments and technical properties of packagings. The tool has been used on a real use-case concerning end-of-life possibilities for packagings.

show abstract

Working with Preferences: Less Is More

Cited by 72 publications

References 0 publications

Preferences in artificial intelligence

Preferences in artificial intelligence

On the Semantics of Partially Ordered Bases

Arguing About End-of-Life of Packagings: Preferences to the Rescue

Contact Info

Product

Resources

About