Abstract argumentation systems
Artificial Intelligence
A Reasoning Model Based on the Production of Acceptable Arguments
Annals of Mathematics and Artificial Intelligence
The Role of Logic in Computational Models of Legal Argument: A Critical Survey
Computational Logic: Logic Programming and Beyond, Essays in Honour of Robert A. Kowalski, Part II
Credulous and Sceptical Argument Games for Preferred Semantics
JELIA '00 Proceedings of the European Workshop on Logics in Artificial Intelligence
Argumentation based decision making for autonomous agents
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
An argumentation based approach for practical reasoning
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
An argumentation based approach for practical reasoning
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Computing ideal sceptical argumentation
Artificial Intelligence
Justifying Actions by Accruing Arguments
Proceedings of the 2006 conference on Computational Models of Argument: Proceedings of COMMA 2006
Explaining qualitative decision under uncertainty by argumentation
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Dialectic proof procedures for assumption-based, admissible argumentation
Artificial Intelligence
On the generation of bipolar goals in argumentation-based negotiation
ArgMAS'04 Proceedings of the First international conference on Argumentation in Multi-Agent Systems
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In this paper, we present a decision support system for lawyers. This system is built upon an argumentation framework for decision making. A logic language is used as a concrete data structure for holding the statements like knowledge, goals, and decisions. Different priorities are attached to these items corresponding to the uncertainty of the knowledge about the circumstances, the lawyer's preferences, and the expected utilities of sentences. These concrete data structures consist of information providing the backbone of arguments. Due to the abductive nature of practical reasoning, arguments are built by reasoning backwards, and possibly by making suppositions over missing information. Moreover, arguments are defined as tree-like structures. In this way, our computer system, implemented in Prolog, suggests some actions and provides an interactive and intelligible explanation of this solution.