Measuring Quality Of Learning In Real-Valued Domains

Brian J. Tillotson; David L. Johnson

doi:10.1117/12.969327

21 March 1989 Measuring Quality Of Learning In Real-Valued Domains

Brian J. Tillotson, David L. Johnson

Proceedings Volume 1095, Applications of Artificial Intelligence VII; (1989) https://doi.org/10.1117/12.969327
Event: SPIE 1989 Technical Symposium on Aerospace Sensing, 1989, Orlando, FL, United States

Abstract

A learning autonomous robot must learn from sensor data and must decide what topics to learn about. We present the method of resolution limited quantization for learning from sensor data and the method of histogram density to guide the process of topic selection. The methods are complementary in that they use the same knowledge representation. We describe a program, GRID, which implements these methods,. We present an example run of this program learning in the domain of a simulated mobile robot.

Citation Download Citation

Brian J. Tillotson and David L. Johnson "Measuring Quality Of Learning In Real-Valued Domains", Proc. SPIE 1095, Applications of Artificial Intelligence VII, (21 March 1989); https://doi.org/10.1117/12.969327

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