Actors: a model of concurrent computation in distributed systems
Actors: a model of concurrent computation in distributed systems
Artificial intelligence (2nd ed.)
Artificial intelligence (2nd ed.)
Communications of the ACM
Business Expert Systems
Chunking in Soar: The Anatomy of a General Learning Mechanism
Machine Learning
Knowledge Acquisition Via Incremental Conceptual Clustering
Machine Learning
Inducing decision-making knowledge from data bases: an approach to automating knowledge acquisition
SIGBDP '90 Proceedings of the 1990 ACM SIGBDP conference on Trends and directions in expert systems
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Research in equipping rule-based expert systems with skill refinement behavior by utilizing the recognize-act control mechanism is described. An overview of expert system skill refinement is provided. A skill refinement model for generating plans is then presented. Two closely coupled and mutually supportive mechanisms characterize this model: a rule-selecting mechanism (corresponding to a buyer-selecting procedure) that dynamically incorporates the concept of multiple selection/preference criteria into the conflict resolution process, and an economics-based credit assignment mechanism (corresponding to a capital reallocation procedure) that uses an inference engine's experiences to update the potentiality of each rule participating in the problem-solving process. A mathematical description of the model is given. An example is provided to illustrate the inference engine's skill refinement and the applicability of the model is discussed.