Cited by 5Psychiatry, Mental Health, NeuroscienceAI-based Problem Solving and PlanningCognitive Science and Education Research

A cognitive architecture theory of anticipatory thinking

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Jones, Steven J., Laird, John E.·2023·AI Magazine

Abstract

We theorize that anticipatory thinking (AT) uses the same computational infrastructure as general cognition as described in the Common Model of Cognition. We extend the Common Model with results from research on event cognition. Using these building blocks, we present a five‐step process model of AT as realized in cognitive architecture components. We then revisit simplifying assumptions underlying our model and expand our theory in response. Finally, we make predictions that are entailed by our account of AT, focusing on how computational limits in both natural and artificial cognitive systems can impact support for AT.

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Crossref · 10.1002/aaai.12102

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Research works printed but not linked: 2

  1. Kessler, D. J., N. L. Johnson, J. Liou, and M. Matney. 2010. "The Kessler Syndrome: Implications to Future Space Operations." Advances in the Astronautical Sciences 137(8): 47-61.
  2. Li, J., and J. Laird. 2014. "Spontaneous Retrieval for Prospective Mem- ory: Effects of Encoding Specificity and Retention Interval." In Proceedings of the 29th AAAI Conference on Artificial Intelligence, AAAI.

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Authors
Jones, S. J., & Laird, J. E.
Affiliations
Center for Integrated Cognition: IQM Research Institute Ann Arbor Michigan USA
Corresponding author
Jones, Steven J.
Venue
AI Magazine
Publisher
Wiley
Published
2023-06
Volume
44
Issue
2
Pages
155-164
ISSN
  • 0738-4602 (ISSN-L)
  • 2371-9621
OpenAlex
W4381988561
Cited by
5
References
16
Citations by year
2026: 1 · 2025: 3 · 2024: 1
FWCI
0.47
Type
journal article
Language
en
Open access
Locations
AI Magazine (publishedVersion, cc-by)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Psychiatry, Mental Health, Neuroscience
  • Physical Sciences › Computer Science › Artificial Intelligence › AI-based Problem Solving and Planning
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Cognitive Science and Education Research
Keywords
anticipatory thinking, cognitive architecture, event cognition, artificial cognitive systems, global cognition

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