Knowledge Level Learning in Soar

摘要

This article demonstrates how knowledge level learning can be performed within the Soar architecture. That is, the authors 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. Keywords: Artificial intelligence, Machine learning, Cognitive architecture. (kr)