PhilSci Archive

Comparing Probabilistic Measures of Explanatory Power

Schupbach, Jonah N. (2010) Comparing Probabilistic Measures of Explanatory Power. In: UNSPECIFIED.

[img]
Preview
PDF
Comparing_Measures_of_Explanatory_Power.pdf

Download (546kB)

Abstract

Recently, in attempting to account for explanatory reasoning in probabilistic terms, Bayesians have proposed several measures of the degree to which a hypothesis explains a given set of facts. These candidate measures of "explanatory power" are shown to have interesting normative interpretations and consequences. What has not yet been investigated, however, is whether any of these measures are also descriptive of people’s actual explanatory judgments. Here, I present my own experimental work investigating this question. I argue that one measure in particular is an accurate descriptor of explanatory judgments. Then, I discuss some interesting implications of this result for both the epistemology and the psychology of explanatory reasoning.


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

Item Type: Conference or Workshop Item (UNSPECIFIED)
Creators:
CreatorsEmailORCID
Schupbach, Jonah N.
Keywords: Bayesianism, Explanatory Power, Probability Theory
Subjects: General Issues > Confirmation/Induction
General Issues > Explanation
General Issues > Experimentation
Depositing User: Jonah N. Schupbach
Date Deposited: 30 Mar 2010
Last Modified: 07 Oct 2010 15:19
Item ID: 5227
URI: http://philsci-archive.pitt.edu/id/eprint/5227

Monthly Views for the past 3 years

Monthly Downloads for the past 3 years

Plum Analytics

Actions (login required)

View Item View Item