Meta-programming in logic programming
Handbook of logic in artificial intelligence and logic programming (vol. 3)
Prolog programming in depth
Artificial intelligence: a new synthesis
Artificial intelligence: a new synthesis
ACM Computing Surveys (CSUR)
A Flexible Framework for Defeasible Logics
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Argumentation Semantics for Defeasible Logic
Journal of Logic and Computation
A metalogic formalization of legal argumentation as game trees with defeasible reasoning
ICAIL '05 Proceedings of the 10th international conference on Artificial intelligence and law
DR-Prolog: A System for Defeasible Reasoning with Rules and Ontologies on the Semantic Web
IEEE Transactions on Knowledge and Data Engineering
Formalising arguments about the burden of persuasion
Proceedings of the 11th international conference on Artificial intelligence and law
Using Temporal Consistency to Improve Robot Localisation
RoboCup 2006: Robot Soccer World Cup X
Presumptions and Burdens of Proof
Proceedings of the 2006 conference on Legal Knowledge and Information Systems: JURIX 2006: The Nineteenth Annual Conference
A Common Framework for Board Games and Argumentation Games
Proceedings of the 2009 conference on Information Modelling and Knowledge Bases XX
Ambiguity propagating defeasible logic and the well-founded semantics
JELIA'06 Proceedings of the 10th European conference on Logics in Artificial Intelligence
The proof algorithms of plausible logic form a hierarchy
AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence
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One of the main challenges that faces the AI-community is to express close approximations of human reasoning as computational formalizations of argument. In this paper we present a full implementation and accompanying software for defeasible adversarial argumentation. The work is based on the metalogic framework of defeasible adversarial argumentation games of [9]. The software we developed consists of: a meta-interpreter, a declarative implementation of the argumentation game model and a graphical interface developed in Java that shows the results of the game execution and the construction of the argumentation derivation tree.