The DOI matches its Crossref record.
Classifier systems and the animat problem
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Citations
Cited by
Genetic programming as a means for programming computers by natural selection
Koza, J. (1994) · Statistics and Computing · doi:10.1007/bf00175355 · Cited by 1,685
Learning to perceive and act by trial and error
Whitehead, S. D., & Ballard, D. H. (1991) · Machine Learning · doi:10.1007/bf00058926 · Cited by 300
Active Perception and Reinforcement Learning
Whitehead, S. D., & Ballard, D. H. (1990) · Machine Learning Proceedings 1990 · doi:10.1016/b978-1-55860-141-3.50025-0 · Cited by 81
Metadata
- Authors
- Wilson, S. W.
- Venue
- Machine Learning
- Published
- 1987-11
- Volume
- 2
- Issue
- 3
- Pages
- 199-228
- ISSN
- 0885-6125 (ISSN-L)
- 1573-0565
- OpenAlex
- W2018642704
- Cited by
- 285
- References
- 0
- FWCI
- 15.71
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Classifier systems and the animat problem. https://app.cochat.ai/papers/10.1007/bf00058679
- The paper
- Wilson, S. W. (1987). Classifier systems and the animat problem. Machine Learning. https://doi.org/10.1007/bf00058679
Data sources
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.
