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Theoretical Computer Science
Volume 350, Issue 1, 18 January 2006, Pages 125-139
Algorithmic Learning Theory (ALT 2002)
 
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doi:10.1016/j.tcs.2005.10.019    How to Cite or Link Using DOI (Opens New Window)
Copyright © 2005 Published by Elsevier B.V.

Mathematics based on incremental learning—Excluded middle and inductive inferencestar, open

Susumu HayashiCorresponding Author Contact Information, E-mail The Corresponding Author, E-mail The Corresponding Author

Koyto University, Yoshida, Sakyo, Koyto 606-8501, Japan

Available online 26 October 2005.

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Abstract

Learning theoretic aspects of mathematics and logic have been studied by many authors. They study how mathematical and logical objects are algorithmically “learned” (inferred) from finite data. Although they study mathematical objects, the objective of the studies is learning. In this paper, a mathematics whose foundation itself is learning theoretic will be introduced. It is called Limit-Computable Mathematics. It was originally introduced as a means for “Proof Animation”, which is expected to make interactive formal proof development easier. Although the original objective was not learning theoretic at all, learning theory is indispensable for our research. It suggests that logic and learning theory are related in a still unknown but deep new way.

Keywords: Learning theory; Constructive logic; The law of excluded middle


Theoretical Computer Science
Volume 350, Issue 1, 18 January 2006, Pages 125-139
Algorithmic Learning Theory (ALT 2002)
 
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