Abstract argumentation systems
Artificial Intelligence
A Reasoning Model Based on the Production of Acceptable Arguments
Annals of Mathematics and 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
Computing ideal sceptical argumentation
Artificial Intelligence
Computing Arguments and Attacks in Assumption-Based Argumentation
IEEE Intelligent Systems
The ArguGRID Platform: An Overview
GECON '08 Proceedings of the 5th international workshop on Grid Economics and Business Models
Arguing over Actions That Involve Multiple Criteria: A Critical Review
ECSQARU '07 Proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
A multi-agent system for service discovery, selection and negotiation
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Towards argumentation-based contract negotiation
Proceedings of the 2008 conference on Computational Models of Argument: Proceedings of COMMA 2008
Basic influence diagrams and the liberal stable semantics
Proceedings of the 2008 conference on Computational Models of Argument: Proceedings of COMMA 2008
Computational Logic in Multi-Agent Systems
Intelligent Agents in the Service-Oriented World - An Industrial Experience Report
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
GECON'07 Proceedings of the 4th international conference on Grid economics and business models
25 years of applications of logic programming in Italy
A 25-year perspective on logic programming
Towards argument representational tools for hybrid argumentation systems
HCII'11 Proceedings of the 1st international conference on Human interface and the management of information: interacting with information - Volume Part II
End-to-End support for dating paleolandforms
IDA'10 Proceedings of the 9th international conference on Advances in Intelligent Data Analysis
Dominant decisions by argumentation agents
ArgMAS'09 Proceedings of the 6th international conference on Argumentation in Multi-Agent Systems
Assumption-based argumentation for the minimal concession strategy
ArgMAS'09 Proceedings of the 6th international conference on Argumentation in Multi-Agent Systems
Towards a dialectical approach for conversational agents in selling situations
ArgMAS'10 Proceedings of the 7th international conference on Argumentation in Multi-Agent Systems
Information Systems Frontiers
Applied Computational Intelligence and Soft Computing
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In this paper, we present a decision support system which is built upon an argumentation framework for practical reasoning. A logic language is used as a concrete data structure for holding statements representing knowledge, goals, and decisions. Different priorities are attached to these items, corresponding to the probability of the knowledge, the preferences between goals, and the expected utilities of decisions. 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 solutions and provides an interactive and intelligible explanation of this choice.