DOIAbstract
This article evaluates whether Rescher's rules for plausible reasoning or other rules used in artificial intelligence for "confidence factors" can be extended to deal with arguments where the linked-convergent distinction is important
This article evaluates whether Rescher's rules for plausible reasoning or other rules used in artificial intelligence for "confidence factors" can be extended to deal with arguments where the linked-convergent distinction is important
Combinatorial explosion of inferences has always been a central problem in artificial intelligence. ...
This paper clarifies our understanding of the construction and use of arguments as a paradigm for pr...
This article introduces a novel approach for the analysis of the dynamics of reasoning processes and...
There is a fundamental division between two approaches to cognition and inference in the real world....
This article tests human inference rationality when dealing with default rules. To study human ratio...
Belief updating schemes in artificial intelligence may be viewed as three dimensional languages, con...
This article provides an experimental analysis of the possibilistic handling of default rules. Three...
. This papers presents some ideas on using paraconsistent and overcomplete logics to represent and t...
Often knowledge from human experts is expressed in the form of uncertain implication rules, such as ...
International audienceThe aim of this position paper is to outline a unified view of plausible reaso...
A consequence relation (CR) relates sets of beliefs to the appropriate conclusions that might be ded...
Reasoning with uncertain information has received a great deal of attention recently, as this issue ...
Abstract. The general purpose of this paper is to demonstrate through a well defined example how phi...
AbstractThis article tries to clarify some aspects of the theory of belief functions especially with...
Probabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretic...
Combinatorial explosion of inferences has always been a central problem in artificial intelligence. ...
This paper clarifies our understanding of the construction and use of arguments as a paradigm for pr...
This article introduces a novel approach for the analysis of the dynamics of reasoning processes and...
There is a fundamental division between two approaches to cognition and inference in the real world....
This article tests human inference rationality when dealing with default rules. To study human ratio...
Belief updating schemes in artificial intelligence may be viewed as three dimensional languages, con...
This article provides an experimental analysis of the possibilistic handling of default rules. Three...
. This papers presents some ideas on using paraconsistent and overcomplete logics to represent and t...
Often knowledge from human experts is expressed in the form of uncertain implication rules, such as ...
International audienceThe aim of this position paper is to outline a unified view of plausible reaso...
A consequence relation (CR) relates sets of beliefs to the appropriate conclusions that might be ded...
Reasoning with uncertain information has received a great deal of attention recently, as this issue ...
Abstract. The general purpose of this paper is to demonstrate through a well defined example how phi...
AbstractThis article tries to clarify some aspects of the theory of belief functions especially with...
Probabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretic...
Combinatorial explosion of inferences has always been a central problem in artificial intelligence. ...
This paper clarifies our understanding of the construction and use of arguments as a paradigm for pr...
This article introduces a novel approach for the analysis of the dynamics of reasoning processes and...
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