A Machine-Oriented Logic Based on the Resolution Principle
Journal of the ACM (JACM)
A Proof Procedure Using Connection Graphs
Journal of the ACM (JACM)
ACM Computing Surveys (CSUR)
A logic-based theory of deductive arguments
Artificial Intelligence
Logic for Problem Solving
A Reasoning Model Based on the Production of Acceptable Arguments
Annals of Mathematics and Artificial Intelligence
Defeasible logic programming: an argumentative approach
Theory and Practice of Logic Programming
Elements of Argumentation
Practical first-order argumentation
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Dialectic proof procedures for assumption-based, admissible argumentation
Artificial Intelligence
Algorithms for effective argumentation in classical propositional logic: a connection graph approach
FoIKS'08 Proceedings of the 5th international conference on Foundations of information and knowledge systems
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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 ****** ,*** *** where *** is a minimal subset of the knowledgebase such that *** is consistent and *** entails the claim *** . Different logics provide different definitions for consistency and entailment and hence give us different options for argumentation. An appealing option is classical first-order logic which can express much more complex knowledge than possible with defeasible or classical propositional logics. However the computational viability of using classical first-order logic is an issue. Here we address this issue by using the notion of a connection graph and resolution with unification. We provide a theoretical framework and algorithm for this, together with some theoretical results.