- New
-
Topics
- All Categories
- Metaphysics and Epistemology
- Value Theory
- Science, Logic, and Mathematics
- Science, Logic, and Mathematics
- Logic and Philosophy of Logic
- Philosophy of Biology
- Philosophy of Cognitive Science
- Philosophy of Computing and Information
- Philosophy of Mathematics
- Philosophy of Physical Science
- Philosophy of Social Science
- Philosophy of Probability
- General Philosophy of Science
- Philosophy of Science, Misc
- History of Western Philosophy
- Philosophical Traditions
- Philosophy, Misc
- Other Academic Areas
- Journals
- Submit material
- More
Justification as truth-finding efficiency: How ockham's razor works
Minds and Machines 14 (4):485-505 (2004)
Abstract
I propose that empirical procedures, like computational procedures, are justified in terms of truth-finding efficiency. I contrast the idea with more standard philosophies of science and illustrate it by deriving Ockham's razor from the aim of minimizing dramatic changes of opinion en route to the truth.Author's Profile
Other Versions
No versions found
Links
PhilArchive
External links
(no proxy)
Setup an account with your affiliations in order to access resources via your University's proxy server
Through your library
- Sign in / register and customize your OpenURL resolver
- Configure custom resolver
My notes
Similar books and articles
Kelly on Ockham’s Razor and Truth-Finding Efficiency.Simon Fitzpatrick - 2013 - Philosophy of Science 80 (2):298-309.
Ockham's razor, empirical complexity, and truth-finding efficiency.Kevin Kelly - 2007 - Theoretical Computer Science 383:270-289.
Book review: Theoretical and computational approaches. [REVIEW]Ted Pedersen - 2004 - Minds and Machines 14 (3):419-423.
Justifying Ockham’s Razor within Betz’s Theory of Dialectical Structures.Seyyed Mohammad Mahdi Etemadoleslami Bakhtiari - 2023 - Journal of Philosophical Investigations 17 (44):63-88.
Book review: Computational principles of mobile robotics. [REVIEW]Christopher G. Prince - 2004 - Minds and Machines 14 (3):407-414.
Steven W. Horst, symbols, computation, and intentionality: A critique of the computational theory of mind. [REVIEW]Hans D. Muller - 1999 - Minds and Machines 9 (3):424-430.
Jon Williamson, bayesian nets and causality: Philosophical and computational foundations. [REVIEW]Bradford McCall - 2008 - Minds and Machines 18 (2):301-302.
Realism, rhetoric, and reliability.Kevin T. Kelly, Konstantin Genin & Hanti Lin - 2016 - Synthese 193 (4):1191-1223.
Shaun Gallagher, how the body shapes the mind.Manuel Bremer - 2008 - Minds and Machines 18 (3):413-415.
Analytics
Added to PP
2009-01-28
Downloads
254 (#108,185)
6 months
16 (#159,027)
2009-01-28
Downloads
254 (#108,185)
6 months
16 (#159,027)
Historical graph of downloads
Author's Profile
Citations of this work
Epistemic Infrastructure for a Scientific Metaphysics.Amanda Bryant - 2021 - Grazer Philosophische Studien 98 (1):27-49.
A new solution to the puzzle of simplicity.Kevin T. Kelly - 2007 - Philosophy of Science 74 (5):561-573.
Why Simpler Computer Simulation Models Can Be Epistemically Better for Informing Decisions.Casey Helgeson, Vivek Srikrishnan, Klaus Keller & Nancy Tuana - 2021 - Philosophy of Science 88 (2):213-233.
Theory Choice, Theory Change, and Inductive Truth-Conduciveness.Konstantin Genin & Kevin T. Kelly - 2018 - Studia Logica:1-41.
Theory Choice, Theory Change, and Inductive Truth-Conduciveness.Konstantin Genin & Kevin T. Kelly - 2019 - Studia Logica 107 (5):949-989.
References found in this work
The Structure of Scientific Revolutions.Thomas S. Kuhn - 1962 - Chicago, IL: University of Chicago Press. Edited by Ian Hacking.
The Scientific Image.William Demopoulos & Bas C. van Fraassen - 1982 - Philosophical Review 91 (4):603.
PhilPapers logo by Andrea Andrews and Meghan Driscoll.
This site uses cookies and Google Analytics (see our terms & conditions for details regarding the privacy implications). Use of this site is subject to terms & conditions.
All rights reserved by The PhilPapers Foundation
Server: philpapers-web-8d48cdbf4-jdnsr uwo