Literature DB >> 15482072

An integrated theory of the mind.

John R Anderson1, Daniel Bothell, Michael D Byrne, Scott Douglass, Christian Lebiere, Yulin Qin.   

Abstract

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. 2004 APA

Mesh:

Year:  2004        PMID: 15482072     DOI: 10.1037/0033-295X.111.4.1036

Source DB:  PubMed          Journal:  Psychol Rev        ISSN: 0033-295X            Impact factor:   8.934


  149 in total

1.  Do We Really Become Smarter When Our Fluid-Intelligence Test Scores Improve?

Authors:  Taylor R Hayes; Alexander A Petrov; Per B Sederberg
Journal:  Intelligence       Date:  2015-01

2.  The change of the brain activation patterns as children learn algebra equation solving.

Authors:  Yulin Qin; Cameron S Carter; Eli M Silk; V Andrew Stenger; Kate Fissell; Adam Goode; John R Anderson
Journal:  Proc Natl Acad Sci U S A       Date:  2004-04-02       Impact factor: 11.205

3.  The role of chunk tightness and chunk familiarity in problem solving: evidence from ERPs and fMRI.

Authors:  Lili Wu; Guenther Knoblich; Jing Luo
Journal:  Hum Brain Mapp       Date:  2012-02-13       Impact factor: 5.038

4.  A symbolic/subsymbolic interface protocol for cognitive modeling.

Authors:  Patrick Simen; Thad Polk
Journal:  Log J IGPL       Date:  2010-10-01       Impact factor: 0.861

5.  From recognition to decisions: extending and testing recognition-based models for multialternative inference.

Authors:  Julian N Marewski; Wolfgang Gaissmaier; Lael J Schooler; Daniel G Goldstein; Gerd Gigerenzer
Journal:  Psychon Bull Rev       Date:  2010-06

6.  Promoting the experimental dialogue between working memory and chunking: Behavioral data and simulation.

Authors:  Sophie Portrat; Alessandro Guida; Thierry Phénix; Benoît Lemaire
Journal:  Mem Cognit       Date:  2016-04

7.  Distinct roles of the anterior cingulate and prefrontal cortex in the acquisition and performance of a cognitive skill.

Authors:  Jon M Fincham; John R Anderson
Journal:  Proc Natl Acad Sci U S A       Date:  2006-08-16       Impact factor: 11.205

8.  Computational principles of working memory in sentence comprehension.

Authors:  Richard L Lewis; Shravan Vasishth; Julie A Van Dyke
Journal:  Trends Cogn Sci       Date:  2006-09-01       Impact factor: 20.229

9.  Interference effects from grammatically unavailable constituents during sentence processing.

Authors:  Julie A Van Dyke
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2007-03       Impact factor: 3.051

10.  Role of prefrontal and parietal cortices in associative learning.

Authors:  John R Anderson; Dana Byrne; Jon M Fincham; Pat Gunn
Journal:  Cereb Cortex       Date:  2007-08-03       Impact factor: 5.357

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.