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Rete: A fast algorithm for the many pattern/many object pattern match problem
Overview
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Citations
Cited by
How Can the Human Mind Occur in the Physical Universe?
Anderson, J. R. (2007) · doi:10.1093/acprof:oso/9780195324259.001.0001 · Cited by 1,483
Artificial Intelligence: A New Synthesis
(1998) · Elsevier eBooks · doi:10.1016/c2009-0-27773-7 · Cited by 1,163
A Framework for Knowledge-Based Temporal Abstraction
Shahar, Y. (1997) · Artificial Intelligence · doi:10.1016/s0004-3702(96)00025-2 · Cited by 461
A catalog of stream processing optimizations
Hirzel, M., Soulé, R., Schneider, S., Gedik, B., & Grimm, R. (2014) · ACM Computing Surveys · doi:10.1145/2528412 · Cited by 299
Gutierrez, C., & Sequeda, J. F. (2021) · Communications of the ACM · doi:10.1145/3418294 · Cited by 148
Metadata
- Authors
- Forgy, C. L.
- Venue
- Artificial Intelligence
- Publisher
- Elsevier BV
- Published
- 1982-09
- Volume
- 19
- Issue
- 1
- Pages
- 17-37
- ISSN
- 0004-3702 (ISSN-L)
- OpenAlex
- W2116502002
- Cited by
- 2,634
- References
- 0
- FWCI
- 9.77
- Type
- journal article
- Language
- en
- Open access
- closed
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.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Rete: A fast algorithm for the many pattern/many object pattern match problem. https://app.cochat.ai/papers/10.1016/0004-3702(82)90020-0
- The paper
- Forgy, C. L. (1982). Rete: A fast algorithm for the many pattern/many object pattern match problem. Artificial Intelligence. https://doi.org/10.1016/0004-3702(82)90020-0
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.
