Abstract
We discuss the nature of argument. We look more closely at the two main forms of nonmonotonic inference. We present a simple semantics for them, due to Teng. We show how this natural semantics leads to a characterization of approximate validity in terms of sets of models. Various of Lifschitz's benchmarks are discussed in this framework.
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Research for this work was supported by the National Science Foundation, grant IRI-9411267
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© 1998 Springer-Verlag Berlin Heidelberg
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Kyburg, H.E. (1998). Approximate validity. In: Antoniou, G., Ghose, A.K., Truszczyński, M. (eds) Learning and Reasoning with Complex Representations. PRICAI 1996. Lecture Notes in Computer Science, vol 1359. Springer, Berlin, Heidelberg . https://doi.org/10.1007/3-540-64413-X_28
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DOI: https://doi.org/10.1007/3-540-64413-X_28
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