A mathematical treatment of defeasible reasoning and its implementation
Artificial Intelligence
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Abstract argumentation systems
Artificial Intelligence
Inferring from Inconsistency in Preference-Based Argumentation Frameworks
Journal of Automated Reasoning
Automated Planning: Theory & Practice
Automated Planning: Theory & Practice
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
An axiomatic account of formal argumentation
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
On the relation between argumentation and non-monotonic coherence based entailment
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
On the generation of bipolar goals in argumentation-based negotiation
ArgMAS'04 Proceedings of the First international conference on Argumentation in Multi-Agent Systems
Symmetric argumentation frameworks
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
On the acceptability of arguments in bipolar argumentation frameworks
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Dynamics of argumentation systems: A division-based method
Artificial Intelligence
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Practical reasoning (PR), which is concerned with the generic question of what to do, is generally seen as a two steps process: (1) deliberation , in which an agent decides what state of affairs it wants to reach ---that is, its desires ; and (2) means-ends reasoning , in which the agent looks for plans for achieving these desires. A desire is justified if it holds in the current state of the world, and feasible if there is a plan for achieving it. The agent's intentions are thus a consistent subset of desires that are both justified and feasible. This paper proposes the first argumentation system for PR that computes in one step the intentions of an agent, allowing thus to avoid the drawbacks of the existing systems. The proposed system is grounded on a recent work on constrained argumentation systems, and satisfies the rationality postulates identified in argumentation literature, namely the consistency and the completeness of the results.