ACT-R
Sign in to saveAlso known as ACT (cognitive model), Adaptive control of thought, Adaptive Control of Thought, Adaptive Control of Thought—Rational
ACT-R (pronounced /ˌækt ˈɑr/; short for "Adaptive Control of Thought—Rational") is a cognitive architecture mainly developed by John Robert Anderson and Christian Lebiere at Carnegie Mellon University. Like any cognitive architecture, ACT-R aims to define the basic and irreducible cognitive and perceptual operations that enable the human mind. In theory, each task that humans can perform should consist of a series of these discrete operations.
Wikidata facts
- Official website
- act-r.psy.cmu.edu
Show 1 more fact
- software version identifier
- 7.27.7
via Wikidata · CC0
~19 min read
Article
21 sectionsContents
- Inspiration
- What ACT-R looks like
- Brief outline
- The symbolic vs. connectionist debate
- Theory vs. implementation, and Vanilla ACT-R
- Applications
- Memory, attention, and executive control
- Natural language
- Complex tasks
- Cognitive neuroscience
- Education
- Brief history
- Early years: 1973–1990
- Integration with rational analysis: 1990–1998
- Brain Imaging and Modular Structure: 1998–2015
- ACT-R 7.0: 2015-Present
- Workshop and summer school
- Spin-offs
- Notes
- References
- External links
ACT-R (pronounced /ˌækt ˈɑr/; short for "Adaptive Control of Thought—Rational") is a cognitive architecture mainly developed by John Robert Anderson and Christian Lebiere at Carnegie Mellon University. Like any cognitive architecture, ACT-R aims to define the basic and irreducible cognitive and perceptual operations that enable the human mind. In theory, each task that humans can perform should consist of a series of these discrete operations.
Most of the ACT-R's basic assumptions are also inspired by the progress of cognitive neuroscience, and ACT-R can be seen and described as a way of specifying how the brain itself is organized in a way that enables individual processing modules to produce cognition.