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A Framework for Representing Knowledge
Open accessAbstract
A partial theory is presented of thinking, combining a number of classical and modern concepts from psychology, linguistics, and AI. In a new situation one selects from memory a structure called a frame: a remembered framework to be adapted to fit reality by changing details as necessary, and a data-structure for representing a stereotyped situation. Attached to each frame are several kinds of information -- how to use the frame, what one can expect to happen next, and what to do if these expectations are not confirmed. The report discusses collections of related frames that are linked together into frame-systems.
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Cited by
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Segler, M. H. S., Preuss, M., & Waller, M. P. (2018) · Nature · doi:10.1038/nature25978 · Cited by 1,847
Doyle, J. (1979) · Artificial Intelligence · doi:10.1016/0004-3702(79)90008-0 · Cited by 1,132
Semantical considerations on nonmonotonic logic
Moore, R. C. (1985) · Artificial Intelligence · doi:10.1016/0004-3702(85)90042-6 · Cited by 1,122
50 Years of object recognition: Directions forward
Andreopoulos, A., & Tsotsos, J. K. (2013) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2013.04.005 · Cited by 347
Interface Metaphors and User Interface Design
Carroll, J. M., Mack, R. L., & Kellogg, W. A. (1988) · Handbook of Human-Computer Interaction · doi:10.1016/b978-0-444-70536-5.50008-7 · Cited by 345
Metadata
- Authors
- Minsky, M.
- Venue
- Mind Design II
- Publisher
- The MIT Press
- Published
- 1997-03-06
- Pages
- 111-142
- OpenAlex
- W2121773050
- Cited by
- 529
- References
- 0
- FWCI
- 12.03
- Type
- book chapter
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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