Add to ORKGThis paper studies connections between two alternatives to the standard probability calculus for representing and reasoning about uncertainty: imprecise probability andcomparative probability. The goal is to identify complete logics for reasoning about uncertainty in a comparative probabilistic language whose semantics is given in terms of imprecise probability. Comparative probability operators are interpreted as quantifying over a set of probability measures. Modal and dynamic operators are added for reasoning about epistemic possibility and updating sets of probability measures
We consider a set of comparative probability judgements over a finite possibility space and study th...
In this contribution, we revisit Zadeh's Extension Principle in the context of imprecise probabiliti...
For reasoning about uncertain situations, we have probability theory, and we have logics of knowledg...
This paper studies connections between two alternatives to the standard probability calculus for rep...
Qualitative and quantitative approaches to reasoning about uncertainty can lead to different logical...
Abstract: It seems that from an epistemological point of view comparative probability has many advan...
AbstractIn this paper, we survey some quantitative and qualitative approaches to uncertainty managem...
Abstract: It seems that from an epistemological point of view comparative probability has many advan...
The contribution proposes to model imprecise and uncertain reasoning by a mental probability logic t...
Possibilistic logic results from the application of possibility theory to classical logic, here prop...
Probability theory and fuzzy logic have been presented as quite distinct theoretical foundations for...
For reasoning about uncertain situations, we have probability theory, and we have logics of knowledg...
International audienceThis paper proposes a concise overview of the role of possibility theory in lo...
AbstractThis paper addresses the problem of exchanging uncertainty assessments in multi-agent system...
International audienceDefault pieces of information of the form, 'generally, if α then β' can be mod...
We consider a set of comparative probability judgements over a finite possibility space and study th...
In this contribution, we revisit Zadeh's Extension Principle in the context of imprecise probabiliti...
For reasoning about uncertain situations, we have probability theory, and we have logics of knowledg...
This paper studies connections between two alternatives to the standard probability calculus for rep...
Qualitative and quantitative approaches to reasoning about uncertainty can lead to different logical...
Abstract: It seems that from an epistemological point of view comparative probability has many advan...
AbstractIn this paper, we survey some quantitative and qualitative approaches to uncertainty managem...
Abstract: It seems that from an epistemological point of view comparative probability has many advan...
The contribution proposes to model imprecise and uncertain reasoning by a mental probability logic t...
Possibilistic logic results from the application of possibility theory to classical logic, here prop...
Probability theory and fuzzy logic have been presented as quite distinct theoretical foundations for...
For reasoning about uncertain situations, we have probability theory, and we have logics of knowledg...
International audienceThis paper proposes a concise overview of the role of possibility theory in lo...
AbstractThis paper addresses the problem of exchanging uncertainty assessments in multi-agent system...
International audienceDefault pieces of information of the form, 'generally, if α then β' can be mod...
We consider a set of comparative probability judgements over a finite possibility space and study th...
In this contribution, we revisit Zadeh's Extension Principle in the context of imprecise probabiliti...
For reasoning about uncertain situations, we have probability theory, and we have logics of knowledg...