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P. Langley, Gary Bradshaw, H. Simon (1983)
Rediscovering Chemistry with the Bacon System
(1991)
What new in OTTER 2.2, Report ANL/MCS-TM-153
K. Ammon (1988)
The Automatic Acquisition of Proof Methods
G. Birkhoff, S. Lane (1942)
A survey of modern algebra
D.W. Loveland (1984)
Automated Theorem Proving: After 25 Years
G. Antoniou, H. Ohlbach (1983)
Terminator
Hans Ohlbach, J. Siekmann (1980)
The Markgraf Karl Refutation Procedure
W.W. McCune (1990)
Report ANL-90/9
K. Ammon, S. Stier (1988)
Constructing Polygon Concepts from Line Drawings
P. Langley, G.L. Bradshaw, H.A. Simon (1983)
Machine Learning: An Artificial Intelligence Approach
D.B. Lenat (1982)
Knowledge-Based Systems in Artificial Intelligence
(1982)
AM: Discovery in mathematics as heuristic search
(1990)
OTTER 2.0 Users Guide, Report ANL-90/9
D. Loveland (1984)
Automated theorem proving: a quarter-century review
W.W. McCune (1991)
What new in OTTER 2.2
J. McCharen, R. Overbeek, L. Wos (1976)
Problems and Experiments for and with Automated Theorem-Proving ProgramsIEEE Transactions on Computers, C-25
K. Ammon (1991)
Constructing Programs From Input-Output Pairs
W. McCune (1990)
OTTER 1.0 Users' Guide
This paper introduces a learning procedure whose input is a set of data and a set of axioms giving the domains and ranges of elementary functions including predicates. It repeatedly applies these axioms to the input data, which yields more and more complex compositions of the functions. These compositions are used to form quantified propositions, set constructors, and programs which are composed of the elementary functions in the input. The procedure is guided by partial results such as partial programs which are evaluated against the input data. In computer experiments, the procedure constructed mathematical conjectures such as Goldbach's conjecture and developed powerful theorem provers from simple proofs.
Annals of Mathematics and Artificial Intelligence – Springer Journals
Published: Apr 5, 2005
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