Conditional entailment: bridging two approaches to default reasoning
Artificial Intelligence
The pleadings game: formalizing procedural justice
ICAIL '93 Proceedings of the 4th international conference on Artificial intelligence and law
Handbook of logic in artificial intelligence and logic programming (vol. 3)
Representation results for defeasible logic
ACM Transactions on Computational Logic (TOCL)
A formal approach to protocols and strategies for (legal) negotiation
Proceedings of the 8th international conference on Artificial intelligence and law
Pleadings Game: An Artificial Intelligence Model of Procedural Justice
Pleadings Game: An Artificial Intelligence Model of Procedural Justice
Possibility Theory, Probability Theory and Multiple-Valued Logics: A Clarification
Annals of Mathematics and Artificial Intelligence
On the Analysis of Regulations using Defeasible Rules
HICSS '99 Proceedings of the Thirty-second Annual Hawaii International Conference on System Sciences-Volume 6 - Volume 6
Propositional defeasible logic has linear complexity
Theory and Practice of Logic Programming
Argumentation Semantics for Defeasible Logic
Journal of Logic and Computation
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Coherence and Flexibility in Dialogue Games for Argumentation
Journal of Logic and Computation
Programming cognitive agents in defeasible logic
LPAR'05 Proceedings of the 12th international conference on Logic for Programming, Artificial Intelligence, and Reasoning
A Generic Framework for Argumentation-Based Negotiation
CIA '07 Proceedings of the 11th international workshop on Cooperative Information Agents XI
An Asymmetric Protocol for Argumentation Games in Defeasible Logic
Agent Computing and Multi-Agent Systems
Success chances in argument games: a probabilistic approach to legal disputes
Proceedings of the 2007 conference on Legal Knowledge and Information Systems: JURIX 2007: The Twentieth Annual Conference
Heuristics in Argumentation: A Game-Theoretical Investigation
Proceedings of the 2008 conference on Computational Models of Argument: Proceedings of COMMA 2008
Dialogue games in defeasible logic
AI'07 Proceedings of the 20th Australian joint conference on Advances in artificial intelligence
Proceedings of the 13th Conference on Theoretical Aspects of Rationality and Knowledge
Strategic argumentation in rigorous persuasion dialogue
ArgMAS'09 Proceedings of the 6th international conference on Argumentation in Multi-Agent Systems
Realizing argumentation in multi-agent systems using defeasible logic programming
ArgMAS'09 Proceedings of the 6th international conference on Argumentation in Multi-Agent Systems
Conditional labelling for abstract argumentation
TAFA'11 Proceedings of the First international conference on Theory and Applications of Formal Argumentation
Norms and learning in probabilistic logic-based agents
DEON'12 Proceedings of the 11th international conference on Deontic Logic in Computer Science
Case-based strategies for argumentation dialogues in agent societies
Information Sciences: an International Journal
Opponent models with uncertainty for strategic argumentation
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
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Argumentation is modelled as a game where the payoffs are measured in terms of the probability that the claimed conclusion is, or is not, defeasibly provable, given a history of arguments that have actually been exchanged, and given the probability of the factual premises. The probability of a conclusion is calculated using a standard variant of Defeasible Logic, in combination with standard probability calculus. It is a new element of the present approach that the exchange of arguments is analysed with game theoretical tools, yielding a prescriptive and to some extent even predictive account of the actual course of play. A brief comparison with existing argument-based dialogue approaches confirms that such a prescriptive account of the actual argumentation has been almost lacking in the approaches proposed so far.