Production Rules as a Representation for a Knowledge-Based Consultation Program
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Some non-parametric components can also be employed to construct procedural memory, such as production rules.
“Some non-parametric components can also be employed to construct procedural memory, such as production rules [16, 17, 18, 20].”
From Human-inspired Perspectives: A Survey on AI Long-term Memory (2024) · cites this paper as [16]
Cites
Shortliffe, E. H., Davis, R., Axline, S. G., Buchanan, B. G., Green, C. C., & Cohen, S. N. (1975) · Computers and Biomedical Research · doi:10.1016/0010-4809(75)90009-9 · Cited by 493 · see citing works
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Survey and critique of techniques for extracting rules from trained artificial neural networks
Andrews, R., Diederich, J., & Tickle, A. B. (1995) · Knowledge-Based Systems · doi:10.1016/0950-7051(96)81920-4 · Cited by 1,225 · see citing works
Abdul, A., Vermeulen, J., Wang, D., Lim, B. Y., & Kankanhalli, M. (2018) · Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3173574.3174156 · Cited by 743 · see citing works
The epistemology of a rule-based expert system —a framework for explanation
Clancey, W. J. (1983) · Artificial Intelligence · doi:10.1016/0004-3702(83)90008-5 · Cited by 712 · see citing works
<i>Why and why not</i> explanations improve the intelligibility of context-aware intelligent systems
Lim, B. Y., Dey, A. K., & Avrahami, D. (2009) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1518701.1519023 · Cited by 552 · see citing works
Generality in artificial intelligence
McCarthy, J. (1987) · Communications of the ACM · doi:10.1145/33447.33448 · Cited by 391 · see citing works
Temporal abstraction in intelligent clinical data analysis: A survey
Stacey, M., & McGregor, C. (2007) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2006.08.002 · Cited by 146 · see citing works
Human-inspired Perspectives: A Survey on AI Long-term Memory
He, Z., Lin, W., Zheng, H., Zhang, F., Jones, M. W., Aitchison, L., Xu, X., Liu, M., Kristensson, P. O., & Shen, J. (2024) · arXiv · doi:10.48550/arxiv.2411.00489 · Cited by 3 · see citing works
“Furthermore, it aids in mastering procedural abilities, such as developing strategy selection capabilities through production rules or reinforcement learning, thus enhancing agents’ adaptability [16, 17, 18, 19, 20, 21, 22].”
- Authors
- Davis, R., Buchanan, B., & Shortliffe, E.
- Affiliations
- Stanford University (US)
- Stanford Medicine (US)
- Venue
- Artificial Intelligence
- Publisher
- Elsevier BV
- Published
- 1977-02
- Volume
- 8
- Issue
- 1
- Pages
- 15-45
- ISSN
- 0004-3702 (ISSN-L)
- OpenAlex
- W2060482235
- Cited by
- 569
- References
- 1
- Citations by year
- 2026: 5 · 2025: 2 · 2024: 8 · 2023: 4 · 2022: 4 · 2021: 5 · 2020: 5 · 2019: 9 · 2018: 12 · 2017: 3 · 2016: 5 · 2015: 6 · 2014: 8 · 2013: 2 · 2012: 8
- FWCI
- 24.02
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Artificial Intelligence (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › AI-based Problem Solving and Planning
- Physical Sciences › Computer Science › Artificial Intelligence › Advanced Computational Techniques and Applications
- Physical Sciences › Computer Science › Artificial Intelligence › Logic, Reasoning, and Knowledge
- Keywords
- MYCIN, production rules, knowledge representation, expert systems, antibiotic selection, bacteremia, control structures, domain independence, clinical decision support
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