Understanding ACT-R - an Outsider's Perspective
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Abstract (arXiv)
The ACT-R theory of cognition developed by John Anderson and colleagues endeavors to explain how humans recall chunks of information and how they solve problems. ACT-R also serves as a theoretical basis for "cognitive tutors", i.e., automatic tutoring systems that help students learn mathematics, computer programming, and other subjects. The official ACT-R definition is distributed across a large body of literature spanning many articles and monographs, and hence it is difficult for an "outsider" to learn the most important aspects of the theory. This paper aims to provide a tutorial to the core components of the ACT-R theory.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 1 Jun 2013.
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Citing papers per year: 2022: 1; 2023: 0; 2024: 2; 2025: 1.
4 papers.
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- 2022Modeling Human Behavior Part II -- Cognitive approaches and Uncertaintycited by 1
- 2025Think or Not? Exploring Thinking Efficiency in Large Reasoning Models via an Information-Theoretic Lens23 May 2025
- 2024Human-inspired Perspectives: A Survey on AI Long-term Memory1 Nov 2024
- 2024Attention Heads of Large Language Models: A Survey5 Sep 2024
- 2022Modeling Human Behavior Part II -- Cognitive approaches and Uncertainty13 May 2022