SOAR: an architecture for general intelligence
Artificial Intelligence
Chunking in Soar: The Anatomy of a General Learning Mechanism
Machine Learning
Explanation-Based Generalization: A Unifying View
Machine Learning
Explanation-Based Learning: An Alternative View
Machine Learning
Learning at the Knowledge Level
Machine Learning
Learning general search control from outside guidance
IJCAI'87 Proceedings of the 10th international joint conference on Artificial intelligence - Volume 1
The data learning problem in cognitive architectures
Cognitive Systems Research
| Hi-index | 0.00 |
In this article we demonstrate how knowledge level learning can be performed within the Soar architecture. That is, we demonstrate how Soar can acquire new knowledge that is not deductively implied by its existing knowledge. This demonstration employs Soar's chunking mechanism - a mechanism which acquires new productions from goal based experience - as its only learning mechanism. Chunking has previously been demonstrated to be a useful symbol level learning mechanism, able to speed up the performance of existing systems, but this is the first demonstration of its ability to perform knowledge level learning. Two simple declarative-memory tasks are employed for this demonstration: recognition and recall.