AbstractThis short paper relates the conditional object-based and possibility theory-based approaches for reasoning with conditional statements pervaded with exceptions, to other methods in nonmonotonic reasoning which have been independently proposed: namely, Lehmann's preferential and rational closure entailments which obey normative postulates, the infinitesimal probability approach, and the conditional (modal) logics-based approach. All these methods are shown to be equivalent with respect to their capabilities for reasoning with conditional knowledge although they are based on different modeling frameworks. It thus provides a unified understanding of nonmonotonic consequence relations. More particularly, conditional objects, a purely q...
We investigate the idea of representing conditional measures as simple measures (possibly with furth...
This paper has two goals. First, we develop frameworks for logical systems which are able to re ect ...
We present an approach to reasoning from statistical and subjective knowledge, which is based on a c...
International audienceThis short paper relates the conditional object-based and possibility theory-b...
This dissertation conducts an investigation into nonmonotonic reasoning---forms of reasoning which a...
International audienceIn nonmonotonic reasoning, Lehmann's preferential System P is known to provide...
International audienceThis paper provides a brief survey of possibilistic logic as a simple and effi...
Nonmonotonic conditionals (A | ∼ B) are formalizations of common sense expressions of the form “if A...
International audienceThis paper provides a survey of possibilistic logic as a simple and efficient ...
We present an approach to reasoning from statistical and subjective knowledge, which is based on a c...
AbstractIn this paper, we survey some quantitative and qualitative approaches to uncertainty managem...
Any dynamic decision model or procedure for acquisition of knowledge must deal with conditional even...
AbstractThe concept of conditioning is well known in probability theory, where it is used in artific...
AbstractPossibilistic logic has been proposed as a numerical formalism for reasoning with uncertaint...
International audienceIn nonmonotonic reasoning, the preferential system P is known to provide reaso...
We investigate the idea of representing conditional measures as simple measures (possibly with furth...
This paper has two goals. First, we develop frameworks for logical systems which are able to re ect ...
We present an approach to reasoning from statistical and subjective knowledge, which is based on a c...
International audienceThis short paper relates the conditional object-based and possibility theory-b...
This dissertation conducts an investigation into nonmonotonic reasoning---forms of reasoning which a...
International audienceIn nonmonotonic reasoning, Lehmann's preferential System P is known to provide...
International audienceThis paper provides a brief survey of possibilistic logic as a simple and effi...
Nonmonotonic conditionals (A | ∼ B) are formalizations of common sense expressions of the form “if A...
International audienceThis paper provides a survey of possibilistic logic as a simple and efficient ...
We present an approach to reasoning from statistical and subjective knowledge, which is based on a c...
AbstractIn this paper, we survey some quantitative and qualitative approaches to uncertainty managem...
Any dynamic decision model or procedure for acquisition of knowledge must deal with conditional even...
AbstractThe concept of conditioning is well known in probability theory, where it is used in artific...
AbstractPossibilistic logic has been proposed as a numerical formalism for reasoning with uncertaint...
International audienceIn nonmonotonic reasoning, the preferential system P is known to provide reaso...
We investigate the idea of representing conditional measures as simple measures (possibly with furth...
This paper has two goals. First, we develop frameworks for logical systems which are able to re ect ...
We present an approach to reasoning from statistical and subjective knowledge, which is based on a c...