Primary evidence
- Automated Theory Formation in MathematicsS1 · Primary research · Paper · 1977-08-22
- The ubiquity of discoveryS1 · Primary research · Paper
AM maintained an agenda of potentially interesting mathematical tasks and used general heuristics to decide which concepts, examples and conjectures to explore next.
At IJCAI-77, Lenat described AM, a program that conducted elementary mathematical exploration by defining new concepts, studying their properties and formulating conjectures under hundreds of heuristic rules.
It is an early direct ancestor of modern AI-for-mathematical-discovery work because the machine was tasked not merely with proving supplied statements but with shaping what mathematical objects and conjectures to investigate.
Significance rationale: Douglas Lenat's AM made automated mathematical discovery an explicit AI research program by using heuristic search to invent and prioritize mathematical concepts and formulate conjectures.
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The IJCAI-77 proceedings and later Artificial Intelligence article document AM and its heuristic mathematical-discovery behavior.
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