Cited by 69Psychiatry, Mental Health, NeuroscienceAI-based Problem Solving and PlanningCognitive Computing and Networks

An Overview of the Distributed Integrated Cognition Affect and Reflection DIARC Architecture

Scheutz, Matthias, Williams, Thomas, Krause, Evan, Oosterveld, Bradley, Sarathy, Vasanth, Frasca, Tyler·2019·Intelligent Systems, Control and Automation: Science and Engineering

Integrity signals

Registry

Crossref · 10.1007/978-3-319-97550-4_11

Cites

3 of 3 references verified0 citation errors · 0 not checkable

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

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  • Cognitive architectures excel in dependable, symbol-based reasoning but are constrained by their reliance on predefined rules and coded policy execution.

    “On the other hand, traditional Cognitive Architectures (CA), also known as symbolic architectures, excel in dependable, symbol-based reasoning but are constrained by their reliance on predefined rules and coded policy execution [4], [5].”

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Authors
Scheutz, M., Williams, T., Krause, E., Oosterveld, B., Sarathy, V., & Frasca, T.
Affiliations
  • Tufts University (US)
  • Colorado School of Mines (US)
Corresponding author
Scheutz, Matthias
Venue
Intelligent Systems, Control and Automation: Science and Engineering
Published
2018-09-04
Pages
165-193
ISSN
  • 2213-8986 (ISSN-L)
  • 2213-8994
OpenAlex
W2890148349
Cited by
69
References
3
Citations by year
2026: 1 · 2025: 23 · 2024: 7 · 2023: 2 · 2022: 10 · 2021: 9 · 2020: 11 · 2019: 4 · 2018: 2
FWCI
9.49
Type
book chapter
Language
en
Open access
closed
Locations
International series on intelligent systems, control and automation: science and engineering (publishedVersion)
Funders
  • National Science Foundation
  • Office of Naval Research
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Psychiatry, Mental Health, Neuroscience
  • Physical Sciences › Computer Science › Artificial Intelligence › AI-based Problem Solving and Planning
  • Physical Sciences › Computer Science › Artificial Intelligence › Cognitive Computing and Networks
Keywords
component-based architecture, one-shot learning, multi-agent systems, autonomous robots, human-robot interaction, cognitive modeling

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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.

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