In many situations humans have to reason with inconsistent knowledge. These inconsistencies may occur due to not fully reliable sources of information. In order to reason with inconsistent knowledge, it is not possible to view a set of premisses as absolute truths as is done in predicate logic. Viewing the set of premisses as a set of assumptions, however, it is possible to deduce useful conclusions from an inconsistent set of premisses. In this paper a logic for reasoning with inconsistent knowledge is described. This logic is a generalization of the work of rescher [12]. In the logic a reliability relation is used to choose between incompatible assumptions. These choices are only made when a contradiction is derived. As long as no contrad...
International audienceThis chapter is devoted to logical models for reasoning from contradictory inf...
Inconsistency-adaptive logics isolate the inconsistencies that are derivable from a premise set, an...
Logic-based argumentation systems are developed for reasoning with inconsistent information. Startin...
In many situations humans have to reason with inconsistent knowledge. These inconsistencies may occu...
In many situations humans have to reason with inconsistent knowledge. These inconsistencies may occu...
In many situations humans have to reason with inconsistent knowledge. These inconsistencies may occu...
Numerous logics have been developed for reasoning about inconsistency which differ in (i) the logic ...
As classical reasoning from inconsistent ontologies can't give meaningful answers to queries, it is ...
As classical reasoning from inconsistent ontologies can't give meaningful answers to queries, it is ...
As classical reasoning from inconsistent ontologies can't give meaningful answers to queries, it is ...
Abstract Many AI applications are based on some underlying logic that tolerates inconsistent informa...
This paper deals with contradictory information in common-sense reasoning. It is often the case that...
A novel theory called bi-default theory is proposed for handling inconsistent knowledge simultaneous...
International audienceThis chapter is devoted to logical models for reasoning from contradictory inf...
. This paper 2 presents a logical approach to the problem of reasoning about information provided ...
International audienceThis chapter is devoted to logical models for reasoning from contradictory inf...
Inconsistency-adaptive logics isolate the inconsistencies that are derivable from a premise set, an...
Logic-based argumentation systems are developed for reasoning with inconsistent information. Startin...
In many situations humans have to reason with inconsistent knowledge. These inconsistencies may occu...
In many situations humans have to reason with inconsistent knowledge. These inconsistencies may occu...
In many situations humans have to reason with inconsistent knowledge. These inconsistencies may occu...
Numerous logics have been developed for reasoning about inconsistency which differ in (i) the logic ...
As classical reasoning from inconsistent ontologies can't give meaningful answers to queries, it is ...
As classical reasoning from inconsistent ontologies can't give meaningful answers to queries, it is ...
As classical reasoning from inconsistent ontologies can't give meaningful answers to queries, it is ...
Abstract Many AI applications are based on some underlying logic that tolerates inconsistent informa...
This paper deals with contradictory information in common-sense reasoning. It is often the case that...
A novel theory called bi-default theory is proposed for handling inconsistent knowledge simultaneous...
International audienceThis chapter is devoted to logical models for reasoning from contradictory inf...
. This paper 2 presents a logical approach to the problem of reasoning about information provided ...
International audienceThis chapter is devoted to logical models for reasoning from contradictory inf...
Inconsistency-adaptive logics isolate the inconsistencies that are derivable from a premise set, an...
Logic-based argumentation systems are developed for reasoning with inconsistent information. Startin...