An integrated theory of the mind.

By John R. Anderson, Daniel Bothell, Michael D. Byrne, Scott Douglass, Christian Lebiere, Yulin Qin. 2004

3,220 citations recorded by the source corpus.

Adaptive control of thought-rational (ACT-R; J. R. Anderson & C. Lebiere, 1998) has evolved into a theory that consists of multiple modules but also explains how these modules are integrated to produce coherent cognition. The perceptual-motor modules, the goal module, and the declarative memory module are presented as examples of specialized systems in ACT-R. These modules are associated with distinct cortical regions. These modules place chunks in buffers where they can be detected by a production system that responds to patterns of information in the buffers. At any point in time, a single production rule is selected to respond to the current pattern. Subsymbolic processes serve to guide the selection of rules to fire as well as the internal operations of some modules. Much of learning involves tuning of these subsymbolic processes. A number of simple and complex empirical examples are described to illustrate how these modules function singly and in concert.

Subfields: Cognitive Neuroscience

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Citations in the corpus

Model Comparison and the Principle of Parsimony (2015, methodology): “For example, the effects of practice can also be accounted for by Rickard’s component power laws model (Rickard, 1997), Anderson’s ACT-R model (Anderson et al., 2004), Cohen et al.”
Optimal Behavioral Hierarchy (2014, background): “The present paper outlines a normative framework for understanding task decompositions, and this information could in theory be applied to either ACT-R or Soar, specifying the type of decompositions each should strive to achieve.”
The mind and brain of short-term memory. (2008, methodology): “It has recently been revived and greatly developed by Cowan (1988, 1995, 2000), McElree (2001), Oberauer (2002), Verhaeghen et al. (2004), Anderson et al. (2004), and others.”
Rational Use of Cognitive Resources: Levels of Analysis Between the Computational and the Algorithmic (2015, methodology): “For instance, the activation mechanism of the declarative memory modules of the ACT-R architecture is based on a rational analysis of memory (Anderson et al., 2004).”
Toward an Architecture for Never-Ending Language Learning (2010, neutral): “1991), EURISKO (Lenat 1983), ACT-R (Anderson et al. 2004), and ICARUS (Langley et al.”
Bilingual brain training: A neurobiological framework of how bilingual experience improves executive function (2012, background): “…(Lewis & Vasishth, 2005), and language impairments (Stocco & Crescentini, 2005), and is a staple of general-purpose cognitive architectures such as Adaptive Control of Thought—Rational (ACT-R: Anderson et al., 2004) and Executive Processes / Interactive Control (EPIC: Meyer & Kieras, 1997).”
Non-commercial Research and Educational Use including without Limitation Use in Instruction at Your Institution, Sending It to Specific Colleagues That You Know, and Providing a Copy to Your Institution's Administrator. All Other Uses, Reproduction and Distribution, including without Limitation Comm (2005, neutral): “The Hamiltonian (in Hz) of a molecule dissolved in a uniaxial nematic liquid crystal is given by: H ¼ X l m l I Z;l þ X l<m J lm I l Á I m þ X l<m D lm ð3I Z;l I Z;m À I l Á I m Þ ð1Þ where m l is the resonance frequency of nucleus l and J lm and D lm are the indirect spin–spin and the direct…”
Expectation-based syntactic comprehension. (2008, result): “In 27Vasishth and Lewis (2006) propose an account based on activation decay and retrieval inference (Anderson et al., 2004) similar in many respects to that of Konieczny (1996), except that the preverbal constituents prime related final verb candidates rather than rule out incompatible…”
The Brain's Router: A Cortical Network Model of Serial Processing in the Primate Brain (2010, background): “Previous modeling efforts have established cognitive architectures which can account for human complex problem solving [14,24,116].”
Nengo: a Python tool for building large-scale functional brain models (2014, background): “…Brette, 2008; Eppler et al., 2009; Hines et al., 2009)], and many tools for simulating cognitive phenomena with various levels of biologically plausibility [e.g., (Cooper and Fox, 1998; Sun, 2001; Anderson et al., 2004; Franklin et al., 2007; Aisa et al., 2008; de Kamps et al., 2008; Laird, 2012)].”