PhilSci Archive

Can Probabilistic Coherence be a Measure of Understanding?

Gijsbers, Victor (2015) Can Probabilistic Coherence be a Measure of Understanding? THEORIA. An International Journal for Theory, History and Foundations of Science, 30 (1). pp. 53-71. ISSN 2171-679X

[img]
Preview
Text
11733-51295-1-PB.pdf - Published Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (309kB) | Preview

Abstract

Coherence is a measure of how much our beliefs hang together. Understanding is achieved when we see that something is not just a brute, isolated fact. This suggests that it might be possible to use the extant probabilistic measures of coherence to formulate a measure of understanding. We attempt to do so, but it turns out that a coherence theory runs into trouble with the asymmetry of understanding. We identify four difficulties and show how they have been solved by a unification approach to explanation. We also identify four advantages of the coherence approach, and assess the possibilities of reconciling the strengths of the two approaches.


Export/Citation: EndNote | BibTeX | Dublin Core | ASCII/Text Citation (Chicago) | HTML Citation | OpenURL
Social Networking:
Share |

Item Type: Published Article or Volume
Creators:
CreatorsEmailORCID
Gijsbers, Victorv.gijsbers@hum.leidenuniv.nl
Additional Information: ISSN: 0495-4548 (print)
Keywords: coherence; understanding; explanation; unification; asymmetry
Subjects: General Issues > Explanation
Specific Sciences > Probability/Statistics
Depositing User: Unnamed user with email theoria@ehu.es
Date Deposited: 05 Jun 2016 01:58
Last Modified: 05 Jun 2016 01:58
Item ID: 12133
Journal or Publication Title: THEORIA. An International Journal for Theory, History and Foundations of Science
Publisher: Euskal Herriko Unibertsitatea / Universidad del País Vasco
Official URL: http://www.ehu.eus/ojs/index.php/THEORIA/article/v...
DOI or Unique Handle: 10.1387/theoria.11733
Subjects: General Issues > Explanation
Specific Sciences > Probability/Statistics
Date: January 2015
Page Range: pp. 53-71
Volume: 30
Number: 1
ISSN: 2171-679X
URI: https://philsci-archive.pitt.edu/id/eprint/12133

Monthly Views for the past 3 years

Monthly Downloads for the past 3 years

Plum Analytics

Altmetric.com

Actions (login required)

View Item View Item