A mathematical treatment of defeasible reasoning and its implementation
Artificial Intelligence
Conditional entailment: bridging two approaches to default reasoning
Artificial Intelligence
Well founded semantics for logic programs with explicit negation
ECAI '92 Proceedings of the 10th European conference on Artificial intelligence
A design for reasoning with policies, precedents, and rationales
ICAIL '93 Proceedings of the 4th international conference on Artificial intelligence and law
An argumentation semantics for logic programming with explicit negation
ICLP'93 Proceedings of the tenth international conference on logic programming on Logic programming
An assumption-based framework for non-monotonic reasoning
Proceedings of the second international workshop on Logic programming and non-monotonic reasoning
Handbook of logic in artificial intelligence and logic programming (vol. 3)
Reasoning about priorities in default logic
AAAI'94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 2)
The Pleadings Game: an exercise in computational dialectics
Artificial Intelligence and Law
ICAIL '95 Proceedings of the 5th international conference on Artificial intelligence and law
Production Systems with Negation as Failure
IEEE Transactions on Knowledge and Data Engineering
Argumentation-Based Proof Procedures for Credulous and Sceptical Non-monotonic Reasoning
Computational Logic: Logic Programming and Beyond, Essays in Honour of Robert A. Kowalski, Part II
Using methods of declarative logic programming for intelligent information agents
Theory and Practice of Logic Programming
Approximating operators and semantics for abstract dialectical frameworks
Artificial Intelligence
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Inspired by legal reasoning, this paper presents an argument-based system for defeasible reasoning, with a logic-programming-like language, and based on Dung's argumentation-theoretic approach to the semantics of logic programming. The language of the system has both weak and explicit negation, and conflicts between arguments are decided with the help of priorities on the rules. These priorities are not fixed, but are themselves defeasibly derived as conclusions within the system.