1979 Reports
Learning Control of Production Systems
One of the central problems in Artificial Intelligence is that of designing appropriate and efficient mechanisms for representing and learning real-world knowledge. We show that it is feasible to infer the control information from an analysis of traces of the successful executions of the production system program provided by a human trainer, thereby creating a system capable of improving its performance by experience.
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Files
- cucs-006-79.pdf application/pdf 1.26 MB Download File
More About This Work
- Academic Units
- Computer Science
- Publisher
- Department of Computer Science, Columbia University
- Series
- Columbia University Computer Science Technical Reports, CUCS-006-79
- Published Here
- August 30, 2011