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ACT-R (pronounced act-ARE) is a symbolic cognitive architecture, created by John R. Anderson and others at Carnegie Mellon University. It has been widely used to model different aspects of human cognitive behavior.
It makes use of different forms of symbolic representations (such as procedural, declarative and iconic memory).
ACT-R has been used to study many different aspects of human performance including perception and attention, learning and memory, problem solving and decision making, language processing, intelligent agents, intelligent tutor systems, and Human-computer interaction.
ACT-R can be compared in many aspects to Soar, another cognitive architecture, developed by Allen Newell, Herbert Simon, and others, also at Carnegie Mellon University. Other cognitive architectures are DUAL, EPIC, Psi, Copycat, and subsumption architectures.
External links
- Official ACT-R site (with a lot of online material, such as manuals)
- Introduction to ACT-R
"ACT-R"