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Cited by 2,350

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Computer science as empirical inquiry: symbols and search

Newell, Allen, Simon, Herbert A.·1976·Communications of the ACM
DOI 10.1145/360018.360022
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Abstract

Computer science is the study of the phenomena surrounding computers. The founders of this society understood this very well when they called themselves the Association for Computing Machinery. The machine—not just the hardware, but the programmed, living machine—is the organism we study.

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Citations

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Research works printed but not linked: 3

  1. 10.1145/367177.367199 · DOI · Paper page
  2. McCulloch W.S. {1961}. What is a number that a man may know it and a man that he may know a number. General Semantics Bulletin Nos. 26 and 27 (1961) 7-18. McCulloch W.S. {1961}. What is a number that a man may know it and a man that he may know a number. General Semantics Bulletin Nos. 26 and 27 (1961) 7-18.
  3. Nilsson N.J. {1971}. Problem Solving Methods in Artificial Intelligence. McGraw-Hill New York. Nilsson N.J. {1971}. Problem Solving Methods in Artificial Intelligence. McGraw-Hill New York.

Cited by

Metadata

Authors
Newell, A., & Simon, H. A.
Venue
Communications of the ACM
Publisher
Association for Computing Machinery (ACM)
Published
1976-03
Volume
19
Issue
3
Pages
113-126
ISSN
  • 0001-0782 (ISSN-L)
  • 1557-7317
DOI
10.1145/360018.360022
OpenAlex
W1968079292
Cited by
2,350
References
2
FWCI
26.74
Type
journal article
Language
en
Open access
closed
Licence
www.acm.org/publications/policies/copyright_policy#Background (vor)

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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.