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WIREs Cogn Sci
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ACT‐R: A cognitive architecture for modeling cognition

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ACT‐R is a hybrid cognitive architecture. It is comprised of a set of programmable information processing mechanisms that can be used to predict and explain human behavior including cognition and interaction with the environment. We start by reviewing its history, which shapes its current form, contrasts and relates it to other architectures, and helps readers to anticipate where it is going. Based on this history, we then describe it as a theory of cognition that is realized as a computer program. After this, we briefly discuss tools for working with ACT‐R, and also note several major accomplishments that have been gained by working with ACT‐R in both basic and applied science, including summarizing some of the insights about human behavior. We conclude by discussing its future, which we believe will include adding emotions and physiology, increasing usability, and the use of nongenerative models. This article is categorized under: Computer Science > Artificial Intelligence Psychology > Reasoning and Decision Making Psychology > Theory and Methods
An illustration of the source of ideas and structures in current ACT‐R. Figure based on fig. 1.11 in Anderson () and extended to include ACT‐R 7
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Schematic diagram of the ACT‐R cognitive architecture and how its components work together to generate behavior. (Figure by authors based on and extending Anderson, and Anderson et al., , the current ACT‐R 7 manual, and comments from Bothell)
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Schematic diagram of the perceptual‐motor components for ACT‐R, based on fig. 1 in Byrne and Anderson ()
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Computer Science > Artificial Intelligence
Psychology > Reasoning and Decision Making
Psychology > Theory and Methods

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