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Cited by 493

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

A Temporal Logic for Reasoning about Processes and Plans*

McDermott, Drew·1982·Cognitive Science

Abstract

Much previous work in artificial intelligence has neglected representing time in all its complexity. In particular, it has neglected continuous change and the indeterminacy of the future. To rectify this, I have developed a first‐order temporal logic, in which it is possible to name and prove things about facts, events, plans, and world histories. In particular, the logic provides analyses of causality, continuous change in quantities, the persistence of facts (the frame problem), and the relationship between tasks and actions. It may be possible to implement a temporal‐inference machine based on this logic, which keeps track of several “maps” of a time line, one per possible history.

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Metadata

Authors
McDermott, D.
Venue
Cognitive Science
Publisher
Wiley
Published
1982-04
Volume
6
Issue
2
Pages
101-155
ISSN
  • 0364-0213 (ISSN-L)
  • 1551-6709
OpenAlex
W3032363870
Cited by
493
References
2
FWCI
14.65
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Temporal Logic for Reasoning about Processes and Plans*. https://app.cochat.ai/papers/10.1207/s15516709cog0602_1
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McDermott, D. (1982). A Temporal Logic for Reasoning about Processes and Plans*. Cognitive Science. https://doi.org/10.1207/s15516709cog0602_1

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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.