The CRITTER system: Automated critiquing of digital circuit designs
DAC '84 Proceedings of the 21st Design Automation Conference
Using empirical analysis to refine expert system knowledge bases (seek)
Using empirical analysis to refine expert system knowledge bases (seek)
Acquiring knowledge by explaining observed problem solving
ACM SIGART Bulletin - Special issue on knowledge acquisition
Template Generation for Identifying Text Patterns
ISMIS '00 Proceedings of the 12th International Symposium on Foundations of Intelligent Systems
Imitation and Reinforcement Learning in Agents with Heterogeneous Actions
AI '01 Proceedings of the 14th Biennial Conference of the Canadian Society on Computational Studies of Intelligence: Advances in Artificial Intelligence
Learning Hierarchical Skills from Observation
DS '02 Proceedings of the 5th International Conference on Discovery Science
A goal- and dependency-directed algorithm for learning hierarchical task networks
Proceedings of the fifth international conference on Knowledge capture
Learning strategies by reasoning about rules
IJCAI'87 Proceedings of the 10th international joint conference on Artificial intelligence - Volume 1
Verification-based learning: a generalisation strategy for inferring problem-reduction methods
IJCAI'85 Proceedings of the 9th international joint conference on Artificial intelligence - Volume 1
Design as refinement plus constraint propagation: the VEXED experience
AAAI'87 Proceedings of the sixth National conference on Artificial intelligence - Volume 2
Design as refinement plus constraint propagation: the VEXED experience
AAAI'87 Proceedings of the sixth National conference on Artificial intelligence - Volume 2
Interaction-based invention: designing novel devices from first principles
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 1
Establishing the coherence of an explanation to improve refinement of an incomplete knowledge base
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 1
A personal learning apprentice
AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
Artificial Intelligence in Medicine
LEARNING AND VERIFYING SAFETY CONSTRAINTS FOR PLANNERS IN A KNOWLEDGE-IMPOVERISHED SYSTEM
Computational Intelligence
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It is by now well-recognised that a major impediment to developing know ledge-based systems is the knowledge acquisition bottleneck the task of building up a complete enough and correct enough knowledge base to provide high-level performance. This paper proposes a new class of knowledge-based systems designed to address this knowledge-acquisition bottleneck by incorporating a learning component to acquire new knowledge through experience. In particular, we define Learning Apprentice Systems as the class of interactive knowledge-based consultants that directly assimilate new knowledge by observing and analyzing the problem solving steps contributed by their users through their normal use of the system. This paper describes a specific Learning Apprentice System, called LEAP, which is presently being developed in the domain of VLSI design We also discuss design issues for Learning Apprentice Systems more generally, as well as restrictions on the generality of our current approach.