ACT-R (Adaptive Control of Thought, Rational) Cognitive Architectures, developed at Carnegie Mellon University under John R. Anderson.
John R Anderson's Profile on scholar.google.ru
Community of ACT-R: People, List
ACT-R Website | ACT-R Research Group | Software | ACT-R - Wiki
Christian LebiereHuman-Computer Interaction Institute
School of Computer Science
Carnegie Mellon University
Pittsburgh, PA, USA
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http://www.andrew.cmu.edu/user/cl/home.html
Общие сведения
Когнитивная архитектура ACT-R [Anderson & Lebiere, 1998], [Anderson et al., 2004] является последней в семействе когнитивных архитектур ACT, связанных, прежде всего, с направлением моделирования человеческого поведения, которое непрерывно развивается с конца 1970-х годов.
Версия ACT-R6 состоит из набора модулей, каждый из которых обрабатывает различные типы информации. К ним относятся сенсорные модули для обработки визуальных данных, двигательные модули для действий, модуль намерений для целей и декларативный модуль для долгосрочных декларативных знаний. Каждый модуль имеет связанный с ним буфер, который хранит реляционную декларативную структуру – порции памяти (часто называемую 'куски' ‘chunks’, но отличающуюся от тех, которые имеются в архитектуре Soar). Взятые вместе, эти буферы составляют кратковременную память архитектуры ACT-R.
Долговременная память продукционных правил координирует обработку модулей. Условия каждой продукции тестируют порции памяти (chunks) в буферах краткосрочной памяти, в то время как ее действия изменяют применение этих буферов. Некоторые изменения модифицируют существующие структуры, тогда как другие инициируют действия в соответствующих модулях, таких как выполнение команды двигателя или извлечение порции памяти из долгосрочной декларативной памяти. Каждая порция декларативной памяти имеет активацию соответствующей базы, которая отражает ее прошлое использование и влияет на ее извлечение из долговременной памяти, в то время как каждая продукция имеет ожидаемую стоимость (с точки зрения времени, необходимого для достижения целей) и вероятность успеха.
В каждом цикле АСТ-R определяет, какие продукции совпадают с содержимым кратковременной памяти. Этот процесс поиска зависит от активации базы для каждой порции памяти, которая ему соответствует. ACT-R вычисляет полезность (utility) для каждой соответствующей продукции как разницу между ее ожидаемой пользой (желательность ее цели, помноженная на вероятность ее успеха - the desirability of its goal times its probability of success) и ее ожидаемой стоимостью. Система выбирает продукцию с самой высокой полезностью (после добавления шума к этому результату расчета) и выполняет ее действия. Новая ситуация приводит новые продукции к соответствию и исполнению правила и цикл продолжается.
Обучение в ACT-R происходит как на структурном, так и на статистическом уровнях. Например, активация базы порций декларативной памяти увеличивается с использованием продукций, но слабеет в противном случае, тогда как стоимость и вероятность успеха для продукций обновляется на основе их наблюдаемого поведения.
Архитектуру можно полностью обучить новым правилам из решений-образцов в рамках процесса компиляции продукции, который анализирует зависимости многократных исполнений правила, заменяет константы переменными, и объединяет их в новые условия и действия [Taatgen, 2005].
Сообщество ACT-R использует свою архитектуру для моделирования различных явлений экспериментальной психологии, взятых из литературы, включая аспекты памяти, внимания, рассуждений, решения задач и обработки языка. В большинстве публикаций сообщалось о точном совпадении с полученными для человека количественными данными о времени реакции и проценте ошибок. Совсем недавно [Anderson (2007)] связал модули ACT-R с различными областями мозга и разработал модели, которые согласуются с результатами исследований визуализации мозга (brain-imaging studies).
Есть более прикладные применения: эта архитектура играет центральную роль в обучающих системах, которые нашли широкое применение в школах [Koedinger et al., 1997], и она также была использована для управления мобильными роботами, которые взаимодействуют с людьми [Trafton et al., 2005].
ACT-R [Anderson, 2007; Anderson et al., 2004], самый последний экземпляр семейства архитектур ACT, включает декларативную память для фактов и процедурную память, содержащую правила продукций. Архитектура работает путем сопоставления продукций с восприятиями и фактами, передаваемыми вещественными уровнями активации объектов, и их исполнения для воздействия на окружающую среду или изменения декларативной памяти. Обучение в ACT-R включает в себя создание новых фактов и продукций, а также обновление базовых активаций и стандартных программ, связанных с этими структурами.
ACT-R - Лаборатория Андерсона поддерживает официальный код программы.ACT-R 6 was released in 2005 and last updated in August 2010.
The canonical implementation of ACT-R is written in the LISP programming language. Although LISP has served the community well for years, its extensibility for different task implementations and different hardware platforms has been lagging compared to more modern languages.
The open-source ACT-R distribution contains all the files needed to run ACT-R models and develop custom task environments.
ftp archive: http://act-r.psy.cmu.edu/actr6/
ACT-R 6.0 tutorial and models: They are included in the ACT-R 6.0 software under "tutorial" folder.
ACT-R: The Java Simulation & Development Environment, another open-source Java re-implementation of ACT-R.
http://cog.cs.drexel.edu/act-r/ | download
In contrast, Java is extremely portable to different platforms and facilitates the development of sophisticated task environments through its many built-in and third-party packages.
Win/Linux The Windows/Linux distribution includes a double-clickable Java archive (JAR) file that launches the application; you will need to install Java on your system if you have not already (Windows/Linux only).
Mac The Macintosh distribution includes an OS X-style application with a standard Macintosh look and feel.
All distributions include an archive file for custom coding, a user's manual, and a set of ACT-R tutorial models (derived from those used in the CMU ACT-R tutorials).
Source code, version 1.2 The source code is also available for advanced users who are interested in modifying the cognitive architecture and/or the development environment.
The ACT-R versions are described and linked to in (G5).
Альтернативные реализации включают в себя:
jACT-R A Java re-writing of ACT-R. Эта реализация написана на языке Java А. Харрисоном (Anthony M. Harrison) из Лаборатории исследований для ВМФ США (Naval Research Laboratory,USA).
This new Java implementation of ACT-R demonstrates some of Java's advantages in portability and modularity. It is intended to provide an alternative to the LISP implementation. While the LISP version remains the canonical version of the architecture, the new Java version aims to be as faithful as possible to the underlying cognitive theory. It also strives to provide easy access to the cognitive theory via an integrated development environment, in which a user can write and run models in a simple application, but can also develop custom code and modules when necessary.
jACT-R Navigation:
Javadoc | Code | Bugs | Forums | Popular content | jACT-R FAQ | jACT-R Manual | Publications | Road to 2.0
PythonACT-R A Python implementation of ACT-R. Реализация PythonACT-R - написана на языке Python Т. Стюартом (Terrence C. Stewart) и Р. Уэстом (Robert L. West) из Carleton University, Канада.
ACT-R [An Integrated Theory of the Mind; The Atomic Components of Thought]
ACT-R is a cognitive architecture: a theory about how human cognition works. On the exterior, ACT-R looks like a programming language; however, its constructs reflect assumptions about human cognition. These assumptions are based on numerous facts derived from psychology experiments.
Originally developed by John R. Anderson at Carnegie Mellon University, ACT-R is now actively being used by an international community of researchers and practitioners to study a variety of tasks.
Researchers working on ACT-R strive to understand how people organize knowledge and produce intelligent behavior. As the research continues, ACT-R evolves ever closer into a system which can perform the full range of human cognitive tasks: capturing in great detail the way we perceive, think about, and act on the world.
ACT-R 6 software downloads in 2013
Like a programming language, ACT-R is a framework: for different tasks (e.g., Tower of Hanoi, memory for text or for list of words, language comprehension, communication, aircraft controlling), researchers create models (aka programs) that are written in ACT-R and that, beside incorporating the ACT-R’s view of cognition, add their own assumptions about the particular task. These assumptions can be tested by comparing the results of the model with the results of people doing the same tasks. By “results” we mean the traditional measures of cognitive psychology:
- time to perform the task,
- accuracy in the task, and,
- (more recently) neurological data such as those obtained from FMRI.
One important feature of ACT-R that distinguishes it from other theories in the field is that it allows researchers to collect quantitative measures that can be directly compared with the quantitative measures obtained from human participants.
How ACT-R Works:
A detailed introduction to ACT-R is offered in the ACT-R tutorials.
Here we present only the very basic mechanism.
ACT-R’s main components are:
- modules,
- buffers,
- pattern matcher.
Modules
There are two types of modules:
- perceptual-motor modules, which take care of the interface with the real world (i.e., with a simulation of the real world), The most well-developed perceptual-motor modules in ACT-R are the visual and the manual modules.
- memory modules.
There are two kinds of memory modules in ACT-R:
- declarative memory , consisting of facts such as Washington, D.C. is the capital of United States, France is a country in Europe, or 2+3=5, and
- procedural memory, made of productions. Productions represent knowledge about how we do things: for instance, knowledge about how to type the letter “Q” on a keyboard, about how to drive, or about how to perform addition.
Buffers
ACT-R accesses its modules (except for the procedural-memory module) through buffers. For each module, a dedicated buffer serves as the interface with that module. The contents of the buffers at a given moment in time represents the state of ACT-R at that moment.
Pattern Matcher
The pattern matcher searches for a production that matches the current state of the buffers. Only one such production can be executed at a given moment. That production, when executed, can modify the buffers and thus change the state of the system. Thus, in ACT-R cognition unfolds as a succession of production firings.
ACT-R is a hybrid cognitive architecture.
Its symbolic structure is a production system; the subsymbolic structure is represented by a set of massively parallel processes that can be summarized by a number of mathematical equations.
The subsymbolic equations control many of the symbolic processes. For instance, if several productions match the state of the buffers, a subsymbolic utility equation estimates the relative cost and benefit associated with each production and decides to select for execution the production with the highest utility.
Similarly, whether (or how fast) a fact can be retrieved from declarative memory depends on subsymbolic retrieval equations, which take into account the context and the history of usage of that fact.
Subsymbolic mechanisms are also responsible for most learning processes in ACT-R.
Software (http://act-r.psy.cmu.edu/software/)
ACT-R's theory is embodied in ACT-R the software, as a set of functions and algorithms implemented in Common Lisp. Since the ACT-R implementation lives in Lisp, the aspiring cognitive modeler must also have access to some Lisp environment, or use the standalone version of the ACT-R Environment.
ACT-R has been used successfully to create models in domains such as:
- learning and memory,
- problem solving and decision making,
- language and communication,
- perception and attention,
- cognitive development, or
- individual differences.
Beside its applications in cognitive psychology, ACT-R has been used in
- human-computer interaction to produce user models that can assess different computer interfaces,
- education (cognitive tutoring systems) to “guess” the difficulties that students may have and provide focused help,
- computer-generated forces to provide cognitive agents that inhabit training environments,
- neuropsychology, to interpret FMRI data.
Some of the most successful applications, the Cognitive Tutors for Mathematics, are used in thousands of schools across the country.
See also:
ACT-R 6 Proposals | ACT-R6proposal.pdf
ACT-R Software Framework Specification v 1.1
AI-related FAQs by Mark Kantrowitz Этот адрес электронной почты защищён от спам-ботов. У вас должен быть включен JavaScript для просмотра.
CMU Common Lisp Repository
CMU Prolog Repository
AI Programming Languages Repository
Additional Resources:
The Software Engineering Institute (SEI) - a Federally Funded Research and Development Center (FFRDC) sponsored by the U.S. Department of Defense (DoD) and based at Carnegie Mellon University.
SEI Blog | SATURN Architecture Blog |
Digital Library | Search: Projects on ADA Programming Language
Michael B. Feldman. Ada as a Foundation Programming Language
Ada Home and Ada Software Repositories
Building Next-generation Autonomous Systems
Eric Werner, Scott McMillan, Jonathan Chu. Patterns and Practices for Future Architectures. August 2014. TECHNICAL NOTE CMU/SEI-2014-TN-00
Related projects
SAL (A Synthesis of ACT-R and Leabra) integrated cognitive architecture.
LEABRA (Local, Error-driven, Associative, Biologically Realistic Algorithm) cognitive architecture.
The ACT-R site at CMU maintains a list of models that are available online.
ACTR/SOS A Simple Object System for ACT-R (ACT-R/SOS)
http://sourceforge.net/projects/actr-sos/
ACTR/SOS Web Site
The Simple Object System for ACT-R (ACT-R/SOS) is a Common LISP library for developing ACT-R simulations. ACT-R/SOS provides simple means to define external objects with which ACT-R can interact.
ACT-R/SOS requires the ACT-R software which is included with ACT-R/SOS.
The focus of ACT-R/SOS is on low-fidelity simulations in complement to other approaches focusing on high-fidelity simulations such as ACT-R/PM.
Development team:
Этот адрес электронной почты защищён от спам-ботов. У вас должен быть включен JavaScript для просмотра., Institute for Information Technology, National Research Council Canada.
Robert L. West, Department of Psychology, and Department of Cognitive Science, Carleton University, Ottawa, Canada.
ACT-R/PM (ACT-R Perceptual-Motor) is a set of perceptual-motor extensions for ACT-R versions prior to ACT-R 6.0.
Mike Byrne, Departments of Psychology and Computer Science, Rice University, Houston, TX, USA
ACT-R/PM is a synthesis of John Anderson's ACT-R theory, Mike Matessa's Visual Interface for ACT-R, and Dave Kieras and Dave Meyer's EPIC system.
ACT-R/PM uses the ACT-R production system/Bayesian network as its core cognitive model, and a parallel set of perceptual-motor modules (much like EPIC). The specific modules are derived from the Visual Interface and similar modules in EPIC.
The ACT-UP System - A cognitive modeling toolbox implementing the ACT-R 6 theory. ACT-UP is a toolkit re-implementation in of the ACT-R cognitive theory in Common Lisp.
David Reitter
ACT-RN, a neural network implementation of the theory developed by Christian Lebiere.
Lebiere, C., & Anderson, J. R. (1993). A connectionist Implementation of the ACT-R production system. In Proceedings of the Fifteenth Annual Conference of the Cognitive Science Society (pp. 635-640). Mahwah, NJ: Lawrence Erlbaum Associates
ACT-R/E (Adaptive Character of Thought-Rational / Embodied): An embodied cognitive architecture for Human-Robot Interaction
The ACT-R Driver Model: A re-implementation of the ACT-R model of driver behavior (Salvucci, 2006). The first package below is the core driver model, specifically the steering and speed-control components of the model. The second package is a sample model of driver distraction from cell-phone dialing based on work with threaded cognition (Salvucci & Taatgen, 2008).
[Download the model of driving]
[Download the model of driver distraction]
Online Database for ACT-R Estimated Parameters
Cognitive Tutor Authoring Tools (CTAT)
Skill Acquisition from Instructions: A new project exploring the ideas of integration and reuse in cognitive skill acquisition
[Download the models and task code]
ACT-RΦ: A Cognitive Architecture with Physiology and Affect
QN-ACES, a cognitive architecture that aims to integrate two complementary classes of cognitive architectures: Queueing network (QN) mathematical architecture and ACT–R, CAPS, EPIC, and Soar (ACES) symbolic architectures.
Yili Liu, The University of Michigan, Ann Arbor, MI, USA. Email: Этот адрес электронной почты защищён от спам-ботов. У вас должен быть включен JavaScript для просмотра.
QN-ACES represents the fourth major step along the QN architecture development for theoretical and methodological unification in cognitive and human–computer interaction modeling.
The first three steps:
QN (Queueing Network) architecture for response time,
QN-RMD (Reflected Multidimensional Diffusions) for response time, response accuracy, and mental architecture, and
QN-MHP (Model Human Processor) for mathematical analysis and real time simulation of procedural tasks.
Разработка высокоуровневой системы управления антропоморфным роботом. Корягин Е.В. Институт прикладной математики и информатики, Балтийский федеральный университет им. И.Канта, г. Калининград, Россия (pdf)
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Internet Groups and Mailing Lists:
act-r-users The ACT-R mailing list was created to disseminate information among users of the ACT-R cognitive modeling architecture. Members of the list can ask questions, exchange tips, and discuss issues. This list is for users of the ACT-R cognitive modeling architecture. It is open to all and is unmoderated. While generally a low traffic site, it has been known to generate a bit of traffic from time to time.
To post a message to all the list members, send email to Этот адрес электронной почты защищён от спам-ботов. У вас должен быть включен JavaScript для просмотра..
ACT-R-users Archives To see the collection of prior postings to the list.
ACTR Cohort4 An online place for members of the ACT-R Cohort 4 at CSUN to better communicate, assist and network with each other.
jactr-users jACT-R mailing list for general users discussion.
jactr-developer jACT-R developer's mailing list (Core, Extension, GUI & Tool developers).
jactr-announce Mailing list for the dissemination of general jACT-R information.
ACT-UP Mailing list for ACT-UP users support, and for development announcements.
ACT-up Archives The collection of prior postings to the list
actr-springschool-groningen2013 ACT-R Spring School 2013 (Groningen, Germany).
ACT-R Workshops & Summer Schools
The ACT-R community gathers every summer for two events: the annual ACT-R Summer School at Carnegie Mellon University and workshop. Site: http://act-r.psy.cmu.edu/workshops/
The proposed workshop serves to update both the ACT-R community and the modeling community at large about recent advances in the ACT-R architecture.
For researchers already using ACT-R, the workshop provides a venue for presenting and hearing about recent changes to and novel applications of the architecture.
For others working with (non-ACT-R) computational cognitive models, the workshop provides an overview of the variety of application domains addressed by the architecture, and encourages sharing of ideas that would benefit ACT-R and other modeling frameworks alike.
The ACT-R community can also browse the ACT-R workshop talks and proceedings to get an idea of who was working on what, as well as the published and contributed models on the main web site.
The community is also seen at the Annual Conference of Cognitive Science Society and at the International Conference on Cognitive Modeling.
ACT-R 2015: The 22nd Annual ACT-R Workshop, July 17-19, 2015, Carnegie Mellon University, Pittsburgh, PA, USA
This year, the theme of the workshop is Scaling Up.
The workshop will consist of symposia, tutorial and talk sessions.
ACT-R 2014: The 21st Annual ACT-R Workshop, July, 2014, Carnegie Mellon University, Pittsburgh, PA, USA
(2014 ACT-R Workshop was a one day workshop at CogSci 2014 Conference)
Organizer: Этот адрес электронной почты защищён от спам-ботов. У вас должен быть включен JavaScript для просмотра., Michael D. Byrne, Christian Lebiere, Niels A. Taatgen, J. Gregory Trafton
Schedule: DOCX file | 2014 ACT-R Workshop
Related Events
The 4th ACT-R Spring School and Master Class 2014, April 7-12, 2014, University of Groningen, Groningen, Netherlands
Site: http://www.ai.rug.nl/actr-springschool/
Organizers: Niels Taatgen, Hedderik van Rijn, Jelmer Borst, and Stefan Wierda.
ACT-R 2013: The 20th Annual ACT-R Workshop, July 2013, (at ICCM)
Dan Bothell. Slides on the ACT-R 6.0 Updates between the Summer 2012 release and Summer 2013 release (pdf).
Related Events
The 3rd ACT-R Spring School and Master Class 2013, April, 2013, University of Groningen, Groningen, Netherlands
ACT-R 2012: The 19th Annual ACT-R Workshop and Summer School, July 27-29, 2012, Carnegie Mellon University, Pittsburgh, PA, USA
Dan Bothell. Slides on the ACT-R 6.0 Updates between the Summer 2010 release and Summer 2012 release (pdf).
Invited Session
Paul Rosenbloom. Presentaton: Sigma: Towards a Graphical Architecture for Integrated Cognition
ACT-R 2011: The 18th Post-Graduate Summer School, July 17-19, 2011, North Conway, New Hampshire, USA
Instead of the traditional summer school and workshop, this year a post-graduate summer school (PGSS) was targeted at experienced users of ACT-R.
Program | official 2011 PGSS site |
Selected papers:
Presentation: Dan Bothell ACT-R since 2001
Panel of Organizers The Future of ACT-R
Related Events
The 2nd ACT-R Spring School and Master Class 2011, April, 2011, University of Groningen, Groningen, Netherlands
ACT-R 2010: The 17th Annual ACT-R Workshop and Summer School, July, 2010, Carnegie Mellon University, Pittsburgh, PA, USA
Selected papers:
John Anderson. The Future of ACT-R in the Post-John Era
Bonnie John. CogTool: A Tool for Interface Design and ACT-R Research
Dan Bothell. Slides on the updates between the Summer 2009 release and Summer 2010 release (pdf).
Related Events
The 1st ACT-R Spring School and Master Class 2010, April, 2010, University of Groningen, Groningen, Netherlands
ACT-R 2009: The 16th Annual ACT-R Workshop, July , 2009, Carnegie Mellon University, Pittsburgh, PA, USA
Selected papers:
John Anderson. Overview of ACT-R
Dan Bothell. Details of ACT-R 6.0
Dan Bothell. Slides on the updates between the Summer 2008 release and Summer 2009 release.
ACT-R 2008: The 15th Annual ACT-R Workshop and Summer School, July 18-20, 2009, Carnegie Mellon University, Pittsburgh, PA, USA
Proceedings (pdf)
Selected papers:
Dan Bothell. Slides on the updates between the Summer 2008 release and Winter 2008 release.
ACT-R 2007: The 14th Annual ACT-R Workshop and Summer School, July , 2007, Carnegie Mellon University, Pittsburgh, PA, USA
Dan Bothell. Slides from the ACT-R Tutorials at ICCM 2007.
ACT-R 2006: The 13th Annual ACT-R Workshop, July 21-23, 2006, Carnegie Mellon University, Pittsburgh, PA, USA
ACT-R Workshop Proceedings (pdf)
ACT-R 2005: The 12th Annual ACT-R Workshop, July 15-17, 2005, Trieste, Italy
Proccedings of 12th Annual ACT-R Workshop, July 15-17, 2005, Trieste, Italy (pdf)
Selected papers:
Dan Bothell. Slides from the 2005 ACT-R Workshop. Official release of ACT-R 6.
Design notes on the production compilation mechanism.
Slides from an ACT-R research group meeting on April 8th, 2005.
ACT-R 2004: The 11th Annual ACT-R Workshop and Summer School, July 23-28, 2004, Carnegie Mellon University, Pittsburgh, PA, USA
Selected papers:
Slides of a talk by Dan Bothell on proposed changes presented after ICCM 2004.
Draft of the API for part of the ACT-R 6 code.
The original document (pdf) on the proposals for ACT-R 6
ACT-R 2003: The 10th Annual ACT-R Workshop and Summer School, July 25-27, 2003, Carnegie Mellon University, Pittsburgh, PA, USA
Selected papers:
“Future of ACT-R” session
proceedings Dan Bothell ACT-R 6.0
proceedings Frank Ritter ACT-R FAQ
Invited Session
James McClelland. Developing a domain-general framework for cognition: What is the best approach? (presentation)
John Anderson. Response
ACT-R 2002: The 9th Annual ACT-R Workshop and Summer School, August 2-4, 2002, Carnegie Mellon University, Pittsburgh, PA, USA
ACT-R 2001: The 8th Annual Post-Graduate Summer School, July, 2001, Carnegie Mellon University, Pittsburgh, PA, USA
ACT-R 2000: The 7th Annual ACT-R Workshop and Summer School, August 5-7, 2000, Carnegie Mellon University, Pittsburgh, PA, USA
ACT-R 1999: The 6th Annual ACT-R Summer School, July 27 - August 6, 1999, Carnegie Mellon University, Pittsburgh, PA, USA | Pictures | Info |
The 6th Annual ACT-R Workshop, August 6-9, 1999, George Mason University, Fairfax, Virginia, USA | Pictures
John R. Anderson, Christian Lebiere, & Dieter Wallach. Introduction to ACT-R (slides)
ACT-R 1997: The 4th Annual ACT-R Workshop and Summer School, August 2-5, 1997, Carnegie Mellon University, Pittsburgh, PA, USA
Schedule | Pictures | Talks
ACT-R 1996: The 3rd Annual ACT-R Workshop and Summer School, June 17-30, 1996, Carnegie Mellon University, Pittsburgh, PA, USA
Schedule | ACT-R 3.0
ACT-R 1995: The 2nd Annual ACT-R Workshop and Summer School, January, 1995, Carnegie Mellon University, Pittsburgh, PA, USA
ACT-R 1994: The 1st Annual ACT-R Workshop and Summer School, 1994, Carnegie Mellon University, Pittsburgh, PA, USA
Various other meetings occur throughout the year. One example is the Winter Workshop on ACT-R models of Human-System Interaction.
Announcements:
ACT-R 6.1 Beta Release
ACT-R Website Updated
Web Sites - Friends of ACT-R
The origin of the ACT theory and ACT-R language is found at the ACT-R website at Carnegie-Mellon University.
Information concerning ACT-R's perceptual-motor components can be found at Rice University.
There is an ACT-R homepage associated with the University of Groningen.
There is also much useful information at the Pennsylvania State University, in the Applied Cognitive Science Lab.
Research is ongoing at Rensselaer Polytechnic Institute (RPI) in the CogWorks Laboratories.
The Modeling Adaptive Cognition (MAC) group at the HEC Lausanne (Universiti de Lausanne) in Switzerland
The User Interface Research (UIR) Lab at the Palo Alto Research Center (PARC)
Intelligent Tutoring Systems
Publications
ACT-R Publications: act-r.psy.cmu.edu/publications/index.php | Publications & Models | Software
J.R. Anderson. The architecture of cognition. Psychology Press
doi: 10.1037/0033-295X.111.4.1036
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The Sequential Structure of Brain Activation Predicts Skill.
ACT-RΦ: A Cognitive Architecture with Physiology and Affect.
Is Temporal Memory Special? The Choose-Short Effect in Time and LengthA model of object location memory.
There are several papers comparing ACT-R and Soar, see, for example:
Johnson, T. R. (1997). Control in Act-R and Soar. In M. Shafto & P. Langley (Eds.), Proceedings of the Nineteenth Annual Conference of the Cognitive Science Society, 343-348. Hillsdale, NJ: Lawrence-Erlbaum.
Jones, G. (1996). The architectures of Soar and ACT-R, and how they model human behaviour. Artificial Intelligence and Simulation of Behaviour Quarterly, 96 (Winter 1996), 41-44.
Ritter, F. E., Shadbolt, N. R., Elliman, D., Young, R., Gobet, F., & Baxter, G. D. (2003). Techniques for modeling human performance in synthetic environments: A supplementary review. Wright-Patterson Air Force Base, OH: Human Systems Information Analysis Center. Appendix C. Description of ACT-R and Soar. [Abstract].
Pew, R. W., & Mavor, A. S. (Eds.). (1998). Modeling human and organizational behavior: Application to military simulations. Washington, DC: National Academy Press. books.nap.edu/catalog/6173.html. This also reviews several other architectures.
