Studia Logica 107 (5):991-1023 (2019)

Authors
Abstract
Occam’s razor directs us to adopt the simplest hypothesis consistent with the evidence. Learning theory provides a precise definition of the inductive simplicity of a hypothesis for a given learning problem. This definition specifies a learning method that implements an inductive version of Occam’s razor. As a case study, we apply Occam’s inductive razor to causal learning. We consider two causal learning problems: learning a causal graph structure that presents global causal connections among a set of domain variables, and learning context-sensitive causal relationships that hold not globally, but only relative to a context. For causal graph learning, Occam’s inductive razor directs us to adopt the model that explains the observed correlations with a minimum number of direct causal connections. For expanding a causal graph structure to include context-sensitive relationships, Occam’s inductive razor directs us to adopt the expansion that explains the observed correlations with a minimum number of free parameters. This is equivalent to explaining the correlations with a minimum number of probabilistic logical rules. The paper provides a gentle introduction to the learning-theoretic definition of inductive simplicity and the application of Occam’s razor for causal learning.
Keywords No keywords specified (fix it)
Categories (categorize this paper)
ISBN(s)
DOI 10.1007/s11225-018-9829-1
Options
Edit this record
Mark as duplicate
Export citation
Find it on Scholar
Request removal from index
Revision history

Download options

Our Archive


Upload a copy of this paper     Check publisher's policy     Papers currently archived: 50,342
External links

Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
Through your library

References found in this work BETA

Causation, Prediction, and Search.Peter Spirtes, Clark Glymour & Richard Scheines - 1996 - British Journal for the Philosophy of Science 47 (1):113-123.
Causality: Models, Reasoning and Inference.Judea Pearl - 2000 - Tijdschrift Voor Filosofie 64 (1):201-202.
The Logic of Reliable Inquiry.Kevin Kelly - 1998 - British Journal for the Philosophy of Science 49 (2):351-354.

View all 15 references / Add more references

Citations of this work BETA

How Theories of Induction Can Streamline Measurements of Scientific Performance.Slobodan Perović & Vlasta Sikimić - 2020 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 51 (2):267-291.

Add more citations

Similar books and articles

Is Occam's Razor a Physical Thing?J. J. C. Smart - 1978 - Philosophy 53 (205):382 - 385.
Simple or Simplistic? Scientists' Views on Occam's Razor.Hauke Riesch - 2010 - Theoria: Revista de Teoría, Historia y Fundamentos de la Ciencia 25 (1):75-90.
Simple or Simplistic? Scientists’ Views on Occam’s Razor.Hauke Riesch - 2010 - Theoria : An International Journal for Theory, History and Fundations of Science 25 (1):75-90.
Simple or Simplistic? Scientists' Views on Occam's Razor.Hauke Riesch - 2010 - Theoria: Revista de Teoría, Historia y Fundamentos de la Ciencia 25 (1):75-90.
Universal Prediction.Tom F. Sterkenburg - 2018 - Dissertation, University of Groningen

Analytics

Added to PP index
2018-09-06

Total views
10 ( #800,094 of 2,326,053 )

Recent downloads (6 months)
1 ( #650,227 of 2,326,053 )

How can I increase my downloads?

Downloads

My notes