A Universal Method of Scientific Inquiry

Daniel N. Osherson; Michael Stob; Scott Weinstein

doi:10.1023/A:1022645200644

A Universal Method of Scientific Inquiry

Daniel N. Osherson, Michael Stob, Scott Weinstein

Psychology

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

A paradigm of scientific discovery is defined within a first-order logical framework. Within this paradigm, the concept of “successful scientific inquiry” is formalized and investigated. Among other results, it is shown that a simple method of scientific inquiry is universal in the sense that it leads to success on every problem for which success is in principle possible.

Original language	English (US)
Pages (from-to)	261-271
Number of pages	11
Journal	Machine Learning
Volume	9
Issue number	2
DOIs	https://doi.org/10.1023/A:1022645200644
State	Published - Jul 1992

All Science Journal Classification (ASJC) codes

Software
Artificial Intelligence

Keywords

Computational learning theory
first-order logic
machine inductive inference
scientific methodology

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10.1023/A:1022645200644

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title = "A Universal Method of Scientific Inquiry",

abstract = "A paradigm of scientific discovery is defined within a first-order logical framework. Within this paradigm, the concept of “successful scientific inquiry” is formalized and investigated. Among other results, it is shown that a simple method of scientific inquiry is universal in the sense that it leads to success on every problem for which success is in principle possible.",

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AB - A paradigm of scientific discovery is defined within a first-order logical framework. Within this paradigm, the concept of “successful scientific inquiry” is formalized and investigated. Among other results, it is shown that a simple method of scientific inquiry is universal in the sense that it leads to success on every problem for which success is in principle possible.

KW - Computational learning theory

KW - first-order logic

KW - machine inductive inference

KW - scientific methodology

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M3 - Article

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SP - 261

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JO - Machine Learning

JF - Machine Learning

IS - 2

ER -

A Universal Method of Scientific Inquiry

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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