The complexity of the real world and the restricted availability of knowledge call for powerful logical frameworks to deal with uncertainty, reaching from qualitative default formalisms to quantitative probability logics. In particular, reasoning under uncertainty requires defeasible inference notions. We take a general look at these issues, with a special emphasis on quasi-probabilistic approaches to default reasoning
Default rules express concise pieces of knowledge having im-plicit exceptions, which is appropriate ...
AbstractDefault rules express concise pieces of knowledge having implicit exceptions, which is appro...
International audienceThis paper proposes a concise overview of the role of possibility theory in lo...
The complexity of the real world and the restricted availability of knowledge call for powerful logi...
Default rules express concise pieces of knowledge having implicit exceptions, which is appropriate f...
International audienceDefault rules express concise pieces of knowledge having implicit exceptions, ...
In this paper we present a novel approach to default reasoning, based on the concept of A-uncertaint...
A probabilistic analysis of plausible reasoning about defaults and about likelihood is presented. 'L...
We introduce a new approach to modeling uncertainty based on plausibility measures. This approach is...
We describe a new approach to default reasoning, based on a principle of indifference among possible...
In this paper, we present two results on combining approximate and default reasoning. First, we inve...
Abstract. Many frameworks have been proposed to manage uncertain informa-tion in logic programming. ...
In this paper, we develop a model for uncertain default reasoning. It has the following characterist...
A probabilistic analysis of plausible reasoning about defaults and about likelihood is presented. Li...
Several attempts to define formal logic5 for some type of default reasoning have been made. All of t...
Default rules express concise pieces of knowledge having im-plicit exceptions, which is appropriate ...
AbstractDefault rules express concise pieces of knowledge having implicit exceptions, which is appro...
International audienceThis paper proposes a concise overview of the role of possibility theory in lo...
The complexity of the real world and the restricted availability of knowledge call for powerful logi...
Default rules express concise pieces of knowledge having implicit exceptions, which is appropriate f...
International audienceDefault rules express concise pieces of knowledge having implicit exceptions, ...
In this paper we present a novel approach to default reasoning, based on the concept of A-uncertaint...
A probabilistic analysis of plausible reasoning about defaults and about likelihood is presented. 'L...
We introduce a new approach to modeling uncertainty based on plausibility measures. This approach is...
We describe a new approach to default reasoning, based on a principle of indifference among possible...
In this paper, we present two results on combining approximate and default reasoning. First, we inve...
Abstract. Many frameworks have been proposed to manage uncertain informa-tion in logic programming. ...
In this paper, we develop a model for uncertain default reasoning. It has the following characterist...
A probabilistic analysis of plausible reasoning about defaults and about likelihood is presented. Li...
Several attempts to define formal logic5 for some type of default reasoning have been made. All of t...
Default rules express concise pieces of knowledge having im-plicit exceptions, which is appropriate ...
AbstractDefault rules express concise pieces of knowledge having implicit exceptions, which is appro...
International audienceThis paper proposes a concise overview of the role of possibility theory in lo...