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- W2905589099 abstract "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." @default.
- W2905589099 created "2018-12-22" @default.
- W2905589099 creator A5018742724 @default.
- W2905589099 creator A5042396297 @default.
- W2905589099 creator A5068106628 @default.
- W2905589099 date "2019-05-01" @default.
- W2905589099 modified "2023-10-18" @default.
- W2905589099 title "ACT-R: A cognitive architecture for modeling cognition." @default.
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- W2905589099 doi "https://doi.org/10.1002/wcs.1488" @default.
- W2905589099 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30536740" @default.
- W2905589099 hasPublicationYear "2019" @default.
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