Abstract
“Inference to the best explanation” — here called “abduction” — is a distinctive and recognizable pattern of evidential reasoning. It is ubiquitous at or near the surface of typical arguments offered in judicial and scientific contexts, and in ordinary life. It is part of “commonsense logic.” An abductive argument is open to attack in characteristic ways, and may be defended in characteristic ways by supporting arguments. Abductive arguments are fallible, but there are only a small number of ways in which they can go wrong. This analysis provides a framework for justification, criticism, and dialogue concerning the evaluation of evidence. It should be helpful in the law of evidence and in the training of investigators.
It is useful to distinguish among the primary meanings of "abduction." It may refer to a static pattern of argumentation or justification, or the dynamic inferential processes whereby explanatory hypotheses are generated and evaluated, or the processes of constructing arguments, including abductive arguments. It is also useful to recognize that best explanations are almost always composite hypotheses or "theories" comprised of many parts.
It is desirable to adopt reasoning strategies that produce conclusions that can in principle be justified. Even better are reasoning strategies in which the confidence in a conclusion arrives bearing a structure of argumentation that can be critically examined, and in which little or no additional work is required to extract, organize, or economize arguments. Reasoning strategies for composing, criticizing, and revising hypotheses, and for justifying conclusions, can be investigated scientifically by implementing such strategies in software and testing their performance.
This essay describes a specific reasoning strategy (simplified and idealized from natural reasoning) in which each part of a conclusion formed by using the strategy has a structure of justifications that is strong, but fallible. This strategy has been implemented and performs well in testing. Some possible lessons are drawn for human theory formation, judicial argumentation, and the conduct of investigations. Finally, a definition is suggested for the evidentiary standard "beyond a reasonable doubt."
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References
See WILLIAM LYCAN, JUDGEMENT AND JUSTIFICATION 129 (1988).
See PETER LIPTON, INFERENCE TO THE BEST EXPLANATION (1991); Gilbert Harman, The Inference to the Best Explanation, 124 PHIL. REV. 88 (1965).
See K.T. FANN, PEIRCE’S THEORY OF ABDUCTION (1970) (describing Peirce’s evolving views of abduction).
On the Proof Dynamics of Inference to the Best Explanation 289
See WILLIAM WHEWELL, D.D., THE PHILOSOPHY OF THE INDUCTIVE SCIENCES: FOUNDED UPON THEIR HISTORY (1847).
See NORMAN RUSSELL HANSON, PATTERNS OF DISCOVERY: AN INQUIRY INTO THE CONCEPTUAL FOUNDATIONS OF SCIENCE (1958).
See Harman, supra note 2.
See Richard Boyd, The Current Status of Scientific Realism, in Scientific Realism 41 (Jarrett Leplin ed., 1984 ).
See LYCAN, supra note 1.
See LIPTON, supra note 2.
See Paul Thagard, Explanatory Coherence, 12 BEHAV. & BRAIN SCI. 35 (1989).
See Ilkka Niiniluoto, Defending Abduction, 66 PHIL. SCI. S436 (1999).
See Stathis Psillos, Abduction: Between Conceptual Richness and Computational Complexity, in ABDUCTION AND INDUCTION: ESSAYS ON THEIR RELATION AND INTEGRATION 59–74 (Peter Flach & Antonis Kakas eds., 2000 ).
ARTHUR CONAN DOYLE, THE SIGN OF THE FOUR 17 (Christopher Roden ed., Oxford Univ. Press 1993)(1890).
See Harman, supra note 2, at 89.
Id.17 The claim that “strong abductions tend toward truth” is philosophically contentious and difficult in principle to demonstrate. I will not argue it here, but for a more complete discussion, see id.
A contrast set is a set of hypotheses within which one hypothesis gets evidential support by being best and over which reasoning by exclusion proceeds.
For a more extensive discussion of the importance of evidence that the contrast set includes the true explanation, see ABDUCTJVE INFERENCE, supra note 16, at 15.
See Abductive Inference, supra note 16.
This strategy can be extended to suggest what to look for.
Extensions are possible here too.
Local“ because it only depends on that data point.
This section has been adapted from Chapter 9 of Abductive Inference, and uses material coauthored by Richard Fox. See Abductive Inference, supra note 16, at Ch. 9.
For a discussion of the Integrated Generic Task Toolset, see JOSEPHSON ET AL., The Integrated Generic Task Toolset, Fafner Release 1. 0: TECHNICAL REPORT, OHIO STATE UNIVERSITY, LABORATORY FOR ARTIFICIAL INTELLIGENCE RESEARCH (1989).
See Thagard, supra note 10, at 452–53.
For problems in which confidence values can be treated formally as probabilities, and
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Josephson, J.R. (2002). On the Proof Dynamics of Inference to the Best Explanation. In: MacCrimmon, M., Tillers, P. (eds) The Dynamics of Judicial Proof. Studies in Fuzziness and Soft Computing, vol 94. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1792-8_15
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DOI: https://doi.org/10.1007/978-3-7908-1792-8_15
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