Cited by 2,589Logic, Reasoning, and KnowledgeAI-based Problem Solving and PlanningCognitive Computing and Networks

The knowledge level

Newell, Allen·1982·Artificial Intelligence

Integrity signals

Registry

Crossref · 10.1016/0004-3702(82)90012-1

Cites

37 of 37 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Knowledge of higher-level regularities does not presuppose knowledge of the finer details of the system.

    “It is well-received in both the philosophical and the computer science literature that knowledge of such higher-level regularities does not presuppose knowledge of the finer details of the system”

    From AI, Opacity, and Personal Autonomy (2022) · cites this paper as Newell, 1982

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Authors
Newell, A.
Affiliations
Carnegie Mellon University (US)
Corresponding author
Newell, Allen
Venue
Artificial Intelligence
Publisher
Elsevier BV
Published
1982-01
Volume
18
Issue
1
Pages
87-127
ISSN
0004-3702 (ISSN-L)
OpenAlex
W2035346816
Cited by
2,589
References
37
Citations by year
2026: 17 · 2025: 31 · 2024: 14 · 2023: 31 · 2022: 26 · 2021: 19 · 2020: 64 · 2019: 17 · 2018: 38 · 2017: 27 · 2016: 39 · 2015: 47 · 2014: 41 · 2013: 52 · 2012: 51
FWCI
68.43
Type
journal article
Language
en
Open access
closed
Locations
Artificial Intelligence (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Logic, Reasoning, and Knowledge
  • Physical Sciences › Computer Science › Artificial Intelligence › AI-based Problem Solving and Planning
  • Physical Sciences › Computer Science › Artificial Intelligence › Cognitive Computing and Networks
Keywords
knowledge level, nature of knowledge, knowledge representation, program level, rationality

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.

What counts as a claim ›How we measure confidence ›How we check this ›

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