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Scripts, Plans, Goals, and Understanding
Abstract
First Published in 1977. In the summer of 1971, there was a workshop in an ill-defined field at the intersection of psychology, artificial intelligence, and linguistics. The fifteen participants were in various ways interested in the representation of large systems of knowledge (or beliefs) based upon an understanding process operating upon information expressed in natural language. This book reflects a convergence of interests at the intersection of psychology and artificial intelligence. What is the nature of knowledge and how is this knowledge used? These questions lie at the core of both psychology and artificial intelligence.
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Cited by
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Endsley, M. R. (1995) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1518/001872095779049543 · Cited by 8,875
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations
Krishna, R., Zhu, Y., Groth, O., Johnson, J., Hata, K., Kravitz, J., Chen, S., Kalantidis, Y., Li, L.-J., Shamma, D. A., et al. (2017) · International Journal of Computer Vision · doi:10.1007/s11263-016-0981-7 · Cited by 5,107
Cognitive load theory, learning difficulty, and instructional design
Sweller, J. (1994) · Learning and Instruction · doi:10.1016/0959-4752(94)90003-5 · Cited by 3,801
Reflections on Past Behavior: A Self‐Report Index of Habit Strength 1
Verplanken, B., & Orbell, S. (2003) · Journal of Applied Social Psychology · doi:10.1111/j.1559-1816.2003.tb01951.x · Cited by 2,030
Learning in and about complex systems
Sterman, J. D. (1994) · System Dynamics Review · doi:10.1002/sdr.4260100214 · Cited by 1,279
Metadata
- Authors
- Schank, R. C., & Abelson, R. P.
- Venue
- Psychology Press eBooks
- Publisher
- Psychology Press
- Published
- 2013-05-13
- OpenAlex
- W4249258521
- Cited by
- 3,155
- References
- 0
- FWCI
- 31.63
- Type
- book
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
