Coherent Behavior from Incoherent Knowledge Sources in the Automatic Synthesis of Numerical Computer Programs.
Abstract
A fundamental problem in artificial intelligence is obtaining coherent behavior in rule-based problem solving systems. A good quantitative measure of coherence is time behavior; a system that never, in retrospect, applied a rule needlessly is certainly coherent; a system suffering from combinatorial blowup is certainly behaving incoherently. This report describes a rule-based problem solving system for automatically writing and improving numerical computer programs from specifications. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 1981
- Accession Number
- ADA096559
Entities
People
- Richard Brown
Organizations
- Massachusetts Institute of Technology