The DOI matches its Crossref record.
Cognitive systems based on adaptive algorithms
Open accessAbstract
The type of cognitive system (CS) studied here has four basic parts: (1) a set of interacting elementary productions, called classifiers , (2) a performance algorithm that directs the action of the system in the environment, (3) a simple learning algorithm that keeps a record of each classifier's success in bringing about rewards, and (4) a more complex learning algorithm, called the genetic algorithm , that modifies the set of classifiers so that variants of good classifiers persist and new, potentially better ones are created in a provably efficient manner.
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Cited by
Evolutionary computation: Comments on the history and current state
Back, T., Hammel, U., & Schwefel, H.-P. (1997) · IEEE Transactions on Evolutionary Computation · doi:10.1109/4235.585888 · Cited by 1,536
A perspective view and survey of meta-learning
Vilalta, R., & Drissi, Y. (2002) · Artificial Intelligence Review · doi:10.1023/a:1019956318069 · Cited by 1,108
Loss of plasticity in deep continual learning
Dohare, S., Hernandez-Garcia, J. F., Lan, Q., Rahman, P., Mahmood, A. R., & Sutton, R. S. (2024) · Nature · doi:10.1038/s41586-024-07711-7 · Cited by 172
Metadata
- Authors
- Holland, J. H., & Reitman, J. S.
- Venue
- ACM SIGART Bulletin
- Published
- 1977-06
- Issue
- 63
- Pages
- 49-49
- ISSN
- 0163-5719 (ISSN-L)
- OpenAlex
- W2043003550
- Cited by
- 469
- References
- 0
- FWCI
- 0.48
- Type
- journal article
- Language
- en
- Open access
- bronze
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
