Decision theory: an introduction to the mathematics of rationality
Decision theory: an introduction to the mathematics of rationality
Probabilistic Horn abduction and Bayesian networks
Artificial Intelligence
An abstract, argumentation-theoretic approach to default reasoning
Artificial Intelligence
Making Hard Decisions with Decisiontools Suite
Making Hard Decisions with Decisiontools Suite
Normative Argumentation and Qualitative Probability
ECSQARU/FAPR '97 Proceedings of the First International Joint Conference on Qualitative and Quantitative Practical Reasoning
Artificial Intelligence - Special issue: Fuzzy set and possibility theory-based methods in artificial intelligence
Using arguments for making decisions: a possibilistic logic approach
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
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
Argumentation-based agents for eProcurement
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems: industrial track
A Game-Theoretic Measure of Argument Strength for Abstract Argumentation
JELIA '08 Proceedings of the 11th European conference on Logics in Artificial Intelligence
Assumption-Based Argumentation for Selection and Composition of Services
Computational Logic in Multi-Agent Systems
Combining sceptical epistemic reasoning with credulous practical reasoning
Proceedings of the 2006 conference on Computational Models of Argument: Proceedings of COMMA 2006
Towards argumentation-based contract negotiation
Proceedings of the 2008 conference on Computational Models of Argument: Proceedings of COMMA 2008
Hybrid argumentation and its properties
Proceedings of the 2008 conference on Computational Models of Argument: Proceedings of COMMA 2008
A Methodology for Action-Selection using Value-Based Argumentation
Proceedings of the 2008 conference on Computational Models of Argument: Proceedings of COMMA 2008
Theoretical and Computational Properties of Preference-based Argumentation
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Journal of Artificial Intelligence Research
Dialectic proof procedures for assumption-based, admissible argumentation
Artificial Intelligence
The hedgehog and the fox: an argumentation-based decision support system
ArgMAS'07 Proceedings of the 4th international conference on Argumentation in multi-agent systems
Arguing for decisions: a qualitative model of decision making
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
From conditional oughts to qualitative decision theory
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
Argumentation as a general framework for uncertain reasoning
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
Decision support tools for clinical trial design
Artificial Intelligence in Medicine
25 years of applications of logic programming in Italy
A 25-year perspective on logic programming
Dynamics of argumentation systems: A division-based method
Artificial Intelligence
A probabilistic approach to modelling uncertain logical arguments
International Journal of Approximate Reasoning
A generalised framework for dispute derivations in assumption-based argumentation
Artificial Intelligence
Applied Computational Intelligence and Soft Computing
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We introduce a special family of (assumption-based argumentation) frameworks for reasoning about the benefits of decisions. These frameworks can be used for representing the knowledge of intelligent agents that can autonomously choose the “best” decisions, given subjective needs and preferences of decision-makers they “represent”. We understand “best” decisions as dominant ones, giving more benefits than any other decisions. Dominant decisions correspond, within the family of argumentation frameworks considered, to admissible arguments. We also propose the use of degrees of admissibility of arguments as a heuristic to assess subjectively the value of decisions and rank them from “best” (dominant) to “worst”. We extend this method to provide notion of relative value of decisions where preferences over benefits are taken into account. Finally, we show how our techniques can be successfully applied to the problem of selecting satellite images to monitor oil spills, to support electronic marketplaces for earth observation products.