Title of article :
Encoding deductive argumentation in quantified Boolean formulae Original Research Article
Author/Authors :
Philippe Besnard، نويسنده , , Anthony Hunter، نويسنده , , Stefan Woltran، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2009
Pages :
18
From page :
1406
To page :
1423
Abstract :
There are a number of frameworks for modelling argumentation in logic. They incorporate a formal representation of individual arguments and techniques for comparing conflicting arguments. A common assumption for logic-based argumentation is that an argument is a pair image where Φ is minimal subset of the knowledge-base such that Φ is consistent and Φ entails the claim α. Different logics provide different definitions for consistency and entailment and hence give us different options for argumentation. Classical propositional logic is an appealing option for argumentation but the computational viability of generating an argument is an issue. To better explore this issue, we use quantified Boolean formulae to characterise an approach to argumentation based on classical logic.
Keywords :
argumentation , Argument systems , Classical logic , Inconsistency , Conflicting knowledge , Quantified Boolean formulae
Journal title :
Artificial Intelligence
Serial Year :
2009
Journal title :
Artificial Intelligence
Record number :
1207711
Link To Document :
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