Cited by 4,882AI-based Problem Solving and PlanningLogic, Reasoning, and KnowledgeConstraint Satisfaction and Optimization

STRIPS: A New Approach to the Application of Theorem Proving to Problem Solving

Fikes, Richard E., Nilsson, Nils J.·1971·Artificial Intelligence

Integrity signals

Registry

Crossref · 10.1016/0004-3702(71)90010-5

Cites

13 of 13 references verified0 citation errors · 0 not checkable

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  • Automated theorem proving and automated planning both study methods for efficient automated reasoning over formal models.

    “Related to program synthesis are the fields of automated theorem proving (Loveland, 2016) and automated planning (Ghallab et al., 2004).Both areas study methods for efficient automated reasoning over formal models, with the former focused on reasoning over mathematical theories and program logics, and with the latter, by analogy (Fikes & Nilsson, 1971), focused on reasoning over theories of”

    From Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems (2024) · cites this paper as Fikes & Nilsson, 1971

  • Regression planning presupposes a goal written as a conjunction of facts with operators that declare which facts they add and delete, the STRIPS form.

    “Regression planning presupposes a goal written as a conjunction of facts with operators that declare which facts they add and delete, the STRIPS form [Fikes and Nilsson, 1971].”

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Authors
Fikes, R. E., & Nilsson, N. J.
Affiliations
SRI International (US)
Venue
Artificial Intelligence
Publisher
Elsevier BV
Published
1971-12
Volume
2
Issue
3-4
Pages
189-208
ISSN
0004-3702 (ISSN-L)
OpenAlex
W2337392266
Cited by
4,882
References
13
Citations by year
2026: 53 · 2025: 86 · 2024: 71 · 2023: 94 · 2022: 132 · 2021: 135 · 2020: 138 · 2019: 112 · 2018: 169 · 2017: 133 · 2016: 114 · 2015: 128 · 2014: 165 · 2013: 159 · 2012: 157
FWCI
16.74
Type
journal article
Language
en
Open access
closed
Locations
  • Artificial Intelligence (publishedVersion)
  • American Association for Artificial Intelligence eBooks
  • International Joint Conference on Artificial Intelligence
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › AI-based Problem Solving and Planning
  • Physical Sciences › Computer Science › Artificial Intelligence › Logic, Reasoning, and Knowledge
  • Physical Sciences › Computer Science › Computer Networks and Communications › Constraint Satisfaction and Optimization
Keywords
STRIPS, problem solving, theorem proving, means-ends analysis, world models, first-order logic, operator sequences, goal satisfaction

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