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The Architecture of Cognition
Abstract
Now available in paper, The Architecture of Cognition is a classic work that remains relevant to theory and research in cognitive science. The new version of Anderson's theory of cognitive architecture -- Adaptive Control of Thought (ACT*) -- is a theory of the basic principles of operation built into the cognitive system and is the main focus of the book.
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In the citing paper
“(Anderson, 2013; Carey, 1985) describe that exposure to information and experience extend the existing knowledge structure, paralleling the process of schema expansion.”
From Pre-Storage Reasoning for Episodic Memory: Shifting Inference Burden to Memory for Personalized Dialogue (2025) · cites this paper as Anderson, 2013
In the citing paper
“we identify five information types- extension, accumulation, specification, transformation, and connectioneach of which causes a different type of modification in the underlying schema.”
From Pre-Storage Reasoning for Episodic Memory: Shifting Inference Burden to Memory for Personalized Dialogue (2025) · cites this paper as Anderson, 2013
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A three-pronged method for studying inference generation in literary text
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The Impact of Conceptions of Ability on Self-Regulatory Factors and Motor Skill Acquisition
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Social influence research in counseling: A review and critique.
Heppner, P. P., & Claiborn, C. D. (1989) · Journal of Counseling Psychology · doi:10.1037/0022-0167.36.3.365 · Cited by 136
Dreaming: cognitive processes during cortical activation and high afferent thresholds
Antrobus, J. (1991) · Psychological Review · doi:10.1037/0033-295x.98.1.96 · Cited by 134
Basing Categorization on Individuals and Events
Barsalou, L. W., Huttenlocher, J., & Lamberts, K. (1998) · Cognitive Psychology · doi:10.1006/cogp.1998.0687 · Cited by 131
Guo, L., Wang, D., Gu, F., Li, Y., Wang, Y., & Zhou, R. (2021) · Asia Pacific Education Review · doi:10.1007/s12564-021-09697-7 · Cited by 124
Artificial intelligence and knowledge management: Questioning the tacit dimension
Sanzogni, L., Guzman, G., & Busch, P. (2017) · Prometheus · doi:10.1080/08109028.2017.1364547 · Cited by 120
A Theory of Resonance: Towards an Ecological Cognitive Architecture
Raja, V. (2018) · Minds and Machines · doi:10.1007/s11023-017-9431-8 · Cited by 115
Cognition from the bottom up: on biological inspiration, body morphology, and soft materials
Pfeifer, R., Iida, F., & Lungarella, M. (2014) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2014.04.004 · Cited by 120
Ellis, N. C., O'Donnell, M. B., & Römer, U. (2014) · Cognitive Linguistics · doi:10.1515/cog-2013-0031 · Cited by 113
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LYSTER, R. (2004) · Journal of French Language Studies · doi:10.1017/s0959269504001826 · Cited by 111
Lucid dreaming: Psychophysiological studies of consciousness during REM sleep.
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Individual Differences in Amygdala Activity Predict Response Speed during Working Memory
Schaefer, A., Braver, T. S., Reynolds, J. R., Burgess, G. C., Yarkoni, T., & Gray, J. R. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.2567-06.2006 · Cited by 106
Mangaroska, K., Sharma, K., Gašević, D., & Giannakos, M. (2022) · Journal of Computer Assisted Learning · doi:10.1111/jcal.12590 · Cited by 100
How do scientific views change? Notes from an extended adversarial collaboration
Cowan, N., Belletier, C., Doherty, J. M., Jaroslawska, A. J., Rhodes, S., Forsberg, A., Naveh-Benjamin, M., Barrouillet, P., Camos, V., & Logie, R. H. (2020) · Perspectives on Psychological Science · doi:10.1177/1745691620906415 · Cited by 89
AI in medical education—another grand challenge for medical informatics
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The cognitive architecture for chaining of two mental operations
Sackur, J., & Dehaene, S. (2009) · Cognition · doi:10.1016/j.cognition.2009.01.010 · Cited by 73
Neuropsychological effects of vasopressin in healthy humans
Born, J., Pietrowsky, R., & L. Fehm, H. (1999) · Progress in brain research · doi:10.1016/s0079-6123(08)61595-2 · Cited by 42
Meta-learned models of cognition
Binz, M., Dasgupta, I., Jagadish, A. K., Botvinick, M., Wang, J. X., & Schulz, E. (2024) · Behavioral and Brain Sciences · doi:10.1017/s0140525x23003266 · Cited by 38
Working memory failure in phone-based interaction
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Blech, C., Gaschler, R., & Bilalić, M. (2020) · Thinking & Reasoning · doi:10.1080/13546783.2019.1685001 · Cited by 26
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Strategic cognitive sequencing: a computational cognitive neuroscience approach
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Enseignement explicite et développement decompétences : antinomie ou nécessité?
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Optimising e-learning in healthcare for nurses
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Testing the three-stage model of second language skill acquisition
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The Compaction Cliff in Long-Running AI Agent Memory
Zerhoudi, S., Mitrović, J., & Granitzer, M. (2026) · ACM · doi:10.1145/3799682.3840567 · Cited by 4
Kim, S., Lee, Y., Kim, S., Kim, H., & Cho, S. (2025) · Findings of the Association for Computational Linguistics: EMNLP 2025 · doi:10.18653/v1/2025.findings-emnlp.1204 · Cited by 2
Experience Compression Spectrum: Unifying Memory, Skills, and Rules in LLM Agents
Zhang, X., Wang, G., Cui, Y., Qiu, W., Li, Z., Zhu, B., & He, P. (2026) · arXiv
Metadata
- Authors
- Anderson, J. R.
- Corresponding author
- Anderson, John R.
- ORCID
- Anderson, John R.
- Venue
- Psychology Press eBooks
- Publisher
- Psychology Press
- Published
- 2013-11-19
- OpenAlex
- W1708874574
- Cited by
- 6,761
- References
- 0
- Citations by year
- 2026: 13 · 2025: 40 · 2024: 24 · 2023: 40 · 2022: 21 · 2021: 61 · 2020: 91 · 2019: 88 · 2018: 112 · 2017: 135 · 2016: 160 · 2015: 182 · 2014: 217 · 2013: 215
- FWCI
- 93.50
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Psychology Press eBooks (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › AI-based Problem Solving and Planning
- Life Sciences › Neuroscience › Cognitive Neuroscience › Cognitive Science and Education Research
- Physical Sciences › Computer Science › Artificial Intelligence › Psychiatry, Mental Health, Neuroscience
- Keywords
- cognitive architecture, ACT, ACT-R, cognitive science theory
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