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Inside Case-Based Reasoning
Abstract
Introducing issues in dynamic memory and case-based reasoning, this comprehensive volume presents extended descriptions of four major programming efforts conducted at Yale during the past several years. Each descriptive chapter is followed by a companion chapter containing the micro program version of the information. The authors emphasize that the only true way to learn and understand any AI program is to program it yourself. To this end, the book develops a deeper and richer understanding of the content through LISP programming instructions that allow the running, modification, and extension of the micro programs developed by the authors.
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Citations
Cited by
Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches
Aamodt, A., & Plaza, E. (1994) · AI Communications · doi:10.3233/aic-1994-7104 · Cited by 5,624
Interpretable machine learning: Fundamental principles and 10 grand challenges
Rudin, C., Chen, C., Chen, Z., Huang, H., Semenova, L., & Zhong, C. (2022) · Statistics Surveys · doi:10.1214/21-ss133 · Cited by 958
The Roles of Similarity in Transfer: Separating Retrievability From Inferential Soundness
Gentner, D., Rattermann, M. J., & Forbus, K. D. (1993) · Cognitive Psychology · doi:10.1006/cogp.1993.1013 · Cited by 640
Reinforcement learning and episodic memory in humans and animals: an integrative framework
Gershman, S. J., & Daw, N. D. (2017) · Annual Review of Psychology · doi:10.1146/annurev-psych-122414-033625 · Cited by 446
The intertwined histories of artificial intelligence and education
Doroudi, S. (2023) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-022-00313-2 · Cited by 129
Metadata
- Authors
- Riesbeck, C. K., & Schank, R. C.
- Venue
- Psychology Press eBooks
- Publisher
- Psychology Press
- Published
- 2013-05-13
- OpenAlex
- W1563716826
- Cited by
- 1,443
- References
- 0
- FWCI
- 15.14
- Type
- book
- Language
- en
- Open access
- closed
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