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10 - Semantics

Published online by Cambridge University Press:  07 December 2009

Henry E. Kyburg, Jr
Affiliation:
University of Rochester, New York
Choh Man Teng
Affiliation:
Institute for Human and Machine Intelligence
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Summary

Introduction

Uncertain reasoning and uncertain argument, as we have been concerned with them here, are reasoning and argument in which the object is to establish the credibility or acceptability of a conclusion on the basis of an argument from premises that do not entail that conclusion. Other terms for the process are inductive reasoning, scientific reasoning, nonmonotonic reasoning, and probabilistic reasoning. What we seek to characterize is that general form of argument that will lead to conclusions that are worth accepting, but that may, on the basis of new evidence, need to be withdrawn.

What is explicitly excluded from uncertain reasoning, in the sense under discussion, is reasoning from one probability statement to another. Genesereth and Nilsson [Nilsson, 1986; Genesereth & Nilsson, 1987], for example, offer as an example of their “probabilistic logic” the way in which constraints on the probability of Q can be established on the basis of probabilities for P and for PQ. This is a matter of deduction: as we noted in Chapter Five, it is provable that any function prob satisfying the usual axioms for probability will be such that if prob(P) = r and prob(PQ) = s then prob(Q) must lie between s + r − 1 (or 0) and s. This deductive relation, though often of interest, is not what we are concerned with here. It has been explored by Suppes and Adams [Suppes, 1966; Adams, 1966] as well as Genesereth and Nilson.

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Uncertain Inference , pp. 230 - 246
Publisher: Cambridge University Press
Print publication year: 2001

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  • Semantics
  • Henry E. Kyburg, Jr, University of Rochester, New York, Choh Man Teng, Institute for Human and Machine Intelligence
  • Book: Uncertain Inference
  • Online publication: 07 December 2009
  • Chapter DOI: https://doi.org/10.1017/CBO9780511612947.011
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  • Semantics
  • Henry E. Kyburg, Jr, University of Rochester, New York, Choh Man Teng, Institute for Human and Machine Intelligence
  • Book: Uncertain Inference
  • Online publication: 07 December 2009
  • Chapter DOI: https://doi.org/10.1017/CBO9780511612947.011
Available formats
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To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Semantics
  • Henry E. Kyburg, Jr, University of Rochester, New York, Choh Man Teng, Institute for Human and Machine Intelligence
  • Book: Uncertain Inference
  • Online publication: 07 December 2009
  • Chapter DOI: https://doi.org/10.1017/CBO9780511612947.011
Available formats
×