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A Framework for Combining Defeasible Argumentation with Labeled Deduction

人工智能 2007-05-23 v1 符号计算

摘要

In the last years, there has been an increasing demand of a variety of logical systems, prompted mostly by applications of logic in AI and other related areas. Labeled Deductive Systems (LDS) were developed as a flexible methodology to formalize such a kind of complex logical systems. Defeasible argumentation has proven to be a successful approach to formalizing commonsense reasoning, encompassing many other alternative formalisms for defeasible reasoning. Argument-based frameworks share some common notions (such as the concept of argument, defeater, etc.) along with a number of particular features which make it difficult to compare them with each other from a logical viewpoint. This paper introduces LDSar, a LDS for defeasible argumentation in which many important issues concerning defeasible argumentation are captured within a unified logical framework. We also discuss some logical properties and extensions that emerge from the proposed framework.

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引用

@article{arxiv.cs/0405107,
  title  = {A Framework for Combining Defeasible Argumentation with Labeled Deduction},
  author = {Carlos Iván Chesñevar and Guillermo Ricardo Simari},
  journal= {arXiv preprint arXiv:cs/0405107},
  year   = {2007}
}

备注

15 pages, presented at CMSRA Workshop 2003. Buenos Aires, Argentina