Knowledge Qualification through Argumentation

@inproceedings{Michael2009KnowledgeQT,
  title={Knowledge Qualification through Argumentation},
  author={Loizos Michael and Antonis C. Kakas},
  booktitle={LPNMR},
  year={2009}
}
We propose a framework that brings together two major forms o f default reasoning in Artificial Intelligence: default proper ty classification in static domains, and default property persistence in temporal doma ins. Emphasis in this work is placed on thequalification problem, central when dealing with default reasoning, and in any attempt to integrate different forms o f such reasoning. Our framework can be viewed as offering a semantics to two nat ural problems: (i) that of employing default… CONTINUE READING
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