An Overview of the Distributed Integrated Cognition Affect and Reflection DIARC Architecture
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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].”
From Probing a Vision-Language-Action Model for Symbolic States and Integration into a Cognitive Architecture (2025) · cites this paper as [5]
Cites
Searle, J. R. (1969) · doi:10.1017/cbo9781139173438 · Cited by 11,718 · see citing works
(1979) · Expression and Meaning · doi:10.1017/cbo9780511609213.004 · Cited by 1,393 · cited 1× · see citing works
“These capabilities are crucial in order to understand and generate indirect speech acts [69], which we have shown in laboratory experiments to be commonly used in human-robot dialogue [14], especially in contexts with highly conventionalized social norms [95].”
BackgroundLaird, J. E., Lebiere, C., & Rosenbloom, P. S. (2017) · AI Magazine · doi:10.1609/aimag.v38i4.2744 · Cited by 392 · see citing works
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Language-Capable Robots may Inadvertently Weaken Human Moral Norms
Jackson, R. B., & Williams, T. (2019) · 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1109/hri.2019.8673123 · Cited by 64 · see citing works
Self-citationLu, H., Li, H., Shahani, P. S., Herbers, S., & Scheutz, M. (2025) · 2025 IEEE International Conference on AI and Data Analytics (ICAD) · doi:10.1109/icad65464.2025.11114062 · Cited by 3 · see citing works
“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].”
Self-citation
- 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
- Publisher
- Springer International Publishing
- 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.
Statistics and arithmetic are recomputed, not judged.
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