AbstractThe idea of approximate entailment has been in [13] as a way of modeling the reasoning of an agent with limited resources. They proposed a system in which a family of logics, parameterized by a set of propositional letters, approximates classical logic as the size of the set increases.In this paper, we take the idea further, extending two of their systems to deal with full propositional logic, giving them semantics and sound and complete proof methods based on tableaux. We then present a more general system of which the two previous systems are particular cases and show how it can be used to formalize heuristics used in theorem proving
The Logic of Approximate Entailment (LAE) is a graded counterpart of classical propositional calculu...
AbstractReasoning about reaching consensus by groups of intelligent agents has been discussed and fo...
Providing a logical characterisation of rational agent reasoning has been a long standing challenge ...
AbstractThe idea of approximate entailment has been proposed by Schaerf and Cadoli [Tractable reason...
AbstractThe idea of approximate entailment has been in [13] as a way of modeling the reasoning of an...
AbstractProblems in logic are well known to be hard to solve in the worst case. Two different strate...
Abstract. Real agents (natural or artificial) are limited in their reasoning capabilities. In this p...
Abstract. This paper introduces some preliminary formalizations of the approximate entities of [McCa...
We propose to extend the ontology of logical AI to include approximate objects, approximate predicat...
Approximation techniques are widely used in many areas of Computer Science for dealing with polynomi...
Many AI problems, when formulated, reduce to evaluating the probability that a prepositional express...
Abstract. The aim of this paper is to study a family of logics that ap-proximates classical inferenc...
International audienceSelman and Kautz introduced the notion of approximation of a theory and showed...
The use of approximation as a method for dealing with com-plex problems is a fundamental research is...
AbstractMany AI problems, when formalized, reduce to evaluating the probability that a propositional...
The Logic of Approximate Entailment (LAE) is a graded counterpart of classical propositional calculu...
AbstractReasoning about reaching consensus by groups of intelligent agents has been discussed and fo...
Providing a logical characterisation of rational agent reasoning has been a long standing challenge ...
AbstractThe idea of approximate entailment has been proposed by Schaerf and Cadoli [Tractable reason...
AbstractThe idea of approximate entailment has been in [13] as a way of modeling the reasoning of an...
AbstractProblems in logic are well known to be hard to solve in the worst case. Two different strate...
Abstract. Real agents (natural or artificial) are limited in their reasoning capabilities. In this p...
Abstract. This paper introduces some preliminary formalizations of the approximate entities of [McCa...
We propose to extend the ontology of logical AI to include approximate objects, approximate predicat...
Approximation techniques are widely used in many areas of Computer Science for dealing with polynomi...
Many AI problems, when formulated, reduce to evaluating the probability that a prepositional express...
Abstract. The aim of this paper is to study a family of logics that ap-proximates classical inferenc...
International audienceSelman and Kautz introduced the notion of approximation of a theory and showed...
The use of approximation as a method for dealing with com-plex problems is a fundamental research is...
AbstractMany AI problems, when formalized, reduce to evaluating the probability that a propositional...
The Logic of Approximate Entailment (LAE) is a graded counterpart of classical propositional calculu...
AbstractReasoning about reaching consensus by groups of intelligent agents has been discussed and fo...
Providing a logical characterisation of rational agent reasoning has been a long standing challenge ...