21 March 1989 Measuring Quality Of Learning In Real-Valued Domains
Author Affiliations +
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.
© (1989) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Brian J. Tillotson, David L. Johnson, "Measuring Quality Of Learning In Real-Valued Domains", Proc. SPIE 1095, Applications of Artificial Intelligence VII, (21 March 1989); doi: 10.1117/12.969327; https://doi.org/10.1117/12.969327
PROCEEDINGS
8 PAGES


SHARE
KEYWORDS
Sensors

Quantization

Artificial intelligence

Mobile robots

Machine learning

Actuators

Temperature metrology

Back to Top