Knowledge level learning in Soar
journal contributionposted on 01.01.1987 by Paul S. Rosenbloom, Laird, Allen Newell, Artificial Intelligence and Psychology Project.
Any type of content formally published in an academic journal, usually following a peer-review process.
Abstract: "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."