Skip to main content Accessibility help
×
Hostname: page-component-cd9895bd7-dk4vv Total loading time: 0 Render date: 2024-12-21T16:11:15.833Z Has data issue: false hasContentIssue false

9 - Abductive Inference: From Philosophical Analysis to Neural Mechanisms

Published online by Cambridge University Press:  26 February 2010

Aidan Feeney
Affiliation:
University of Durham
Evan Heit
Affiliation:
University of Warwick
Get access

Summary

WHAT IS ABDUCTION?

In the 1890s, the great American philosopher C. S. Peirce (1931–1958) used the term “abduction” to refer to a kind of inference that involves the generation and evaluation of explanatory hypotheses. This term is much less familiar today than “deduction,” which applies to inference from premises to a conclusion that has to be true if the premises are true. And it is much less familiar than “induction,” which sometimes refers broadly to any kind of inference that introduces uncertainty, and sometimes refers narrowly to inference from examples to rules, which I will call “inductive generalization.” Abduction is clearly a kind of induction in the broad sense, in that the generation of explanatory hypotheses is fraught with uncertainty. For example, if the sky suddenly turns dark outside my window, I may hypothesize that there is a solar eclipse, but many other explanations are possible, such as the arrival of an intense storm or even a huge spaceship.

Despite its inherent riskiness, abductive inference is an essential part of human mental life. When scientists produce theories that explain their data, they are engaging in abductive inference. For example, psychological theories about mental representations and processing are the result of abductions spurred by the need to explain the results of psychological experiments. In everyday life, abductive inference is ubiquitous, for example when people generate hypotheses to explain the behavior of others, as when I infer that my son is in a bad mood to explain a curt response to a question.

Type
Chapter
Information
Inductive Reasoning
Experimental, Developmental, and Computational Approaches
, pp. 226 - 247
Publisher: Cambridge University Press
Print publication year: 2007

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Save book to Kindle

To save this book to your Kindle, first ensure no-reply@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

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 Dropbox.

Available formats
×

Save book to Google Drive

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.

Available formats
×