A mathematical treatment of defeasible reasoning and its implementation
Artificial Intelligence
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ACM Computing Surveys (CSUR)
Reasoning agents in dynamic domains
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Defeasible logic programming: an argumentative approach
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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
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Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
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The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
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The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
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Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
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Information Sciences: an International Journal
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Argumentation-based formalisms provide a way of considering the defeasible nature of reasoning with partial and often erroneous knowledge in a given environment. This problem affects every aspect of a planning process. We will present an argumentation-based formalism that an agent could use for constructing plans starting from a previously introduced formalism. In such a formalism, agents represent their knowledge about their environment in Defeasible Logic Programming, and have a set of actions they can execute to affect their environment. These actions are defined in combination with a defeasible argumentation formalism. We will analyze the interplay of arguments and actions when constructing plans using Partial Order Planning techniques.