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Cited by 198

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

Logic and artificial intelligence

Open access
Nilsson, Nils J.·1991·Artificial Intelligence
DOI 10.1016/0004-3702(91)90049-p
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Abstract

The theoretical foundations of the logical approach to artificial intelligence are presented. Logical languages are widely used for expressing the declarative knowledge needed in artificial intelligence systems. Symbolic logic also provides a clear semantics for knowledge representation languages and a methodology for analyzing and comparing deductive inference techniques. Several observations gained from experience with the approach are discussed. Finally, we confront some challenging problems for artificial intelligence and describe what is being done in an attempt to solve them.

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Metadata

Authors
Nilsson, N. J.
Venue
Artificial Intelligence
Publisher
Elsevier BV
Published
1991-01
Volume
47
Issue
1-3
Pages
31-56
ISSN
0004-3702 (ISSN-L)
DOI
10.1016/0004-3702(91)90049-p
OpenAlex
W2029111147
Cited by
198
References
2
FWCI
11.71
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Logic and artificial intelligence. https://app.cochat.ai/papers/10.1016/0004-3702(91)90049-p
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Nilsson, N. J. (1991). Logic and artificial intelligence. Artificial Intelligence. https://doi.org/10.1016/0004-3702(91)90049-p

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.