ACT-R is designed to be exclusively a cognitive architecture. It has not attempted to make claims within the area of expert systems or artificial intelligence as Soar has. So its success and failures can be examined solely with respect to how well it fits known psychology data, unifies various areas of psychology, and makes novel predictions.

Sadly, there is not a cut and dried answer to this question. Answering this fully will require you to figure out what you expect from a psychology theory and then evaluate Soar on those criteria. If you expect a theory to predict that humans are intelligent, and that they have been and can be shown to learn in several domains, it is nearly the only game in town. If you require limited short term memory directly in the architecture, that's not in Soar yet (try ACT-R).

ACT-R's official name is an acronym for "Adaptive Control of Thought - Rational" (Anderson et al., 2004), which is based upon the ACT Theory (Anderson, 1976). We have also seen it as other acronyms based on the 1998 book's title, the Atomic Components of Thought, and based on the 1990 book's title, the Adaptive Character of Thought. Anderson, J. R., Bothell, D., Byrne, M. D., Douglass, S., Lebiere, C., & Qin, Y. (2004). An integrated theory of mind. Psychological Review, 111(4), 1036-1060.

What is the size and spacing of the R/T stripes? Can I complete them or install them myself? 1.2 Neon Engines 1.2.1 SOHC (Single Overhead Cam)

Would you believe 'R' for 'Raynar'? When Rbots was in very early development, there was actually 2 bot projects. I just named mine Raynar's Bots, or Rbots for short.

ACT-R is a proposed unified theory of cognition realized as a production system. It is a unified theory of cognition, in the spirit proposed by Newell (1990, Unified theories of cognition, Harvard, Cambridge, MA), in that it is designed to predict human behavior by processing information and generating intelligent behavior itself. The ACT-R architecture integrates theories of cognition, visual attention, and motor movement.

Here are some introductory materials to get you started. A more complete list is available at the ACT-R website, at act-r.psy.cmu.edu/publications. Anderson, J. R. & Matessa, M. (1998). The rational analysis of categorization and the ACT-R architecture. In M. Oaksford & N. Chater (Eds.) Rational models of cognition, pp. 197-217. Oxford: Oxford University Press. Anderson, J. R., Bothell, D., Byrne, M. D., Douglass, S., Lebiere, C., & Qin, Y. (2004). An integrated theory of mind.

Most new users are starting in the latest version, ACT-R 6. Some users still use ACT-R 5 or 4. Only one user we know of, working with legacy code, is still using ACT-R 3 (he is lonely). Older versions may be available from the Dan Bothel or Frank Ritter. ACT-R 6 was released in 2005 and last updated in July 2006. This is available at http://act-r.psy.cmu.edu/actr6/. There is a much newer version of the environment that works in a wide variety of Lisps. Please see http://act-r.psy.cmu.

ACT-R is used primarily to model experimental psychology data. For example, researchers at CMU, George Mason, and RPI work on this topic. ACT-R has also been used to model behavior in synthetic environments. Researchers at CMU have worked on this. You 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. There are further examples in the FAQ as well.

Probably the best way to learn ACT-R is to visit a lab where people are actively using ACT-R, and stay for as long as you can manage (months rather than days). To help people, however, there is an online tutorial for ACT-R. In addition, there is also annual ACT-R Summer School at CMU.

Chinese philosophers think the Universe, Human and Earth is a unity! Each organ inside human body also is connected to each other. The rules are the same! Chinese Herbalist also use YIN & YANG to explain the relationship between each other. From their search for the laws of the universe the Taoists discovered within the apparent chaos of nature a predictable and rhythmic cycle - Yin & Yang.

Broadly speaking, RL works as a pretty good model of instrumental learning, though a detailed argument for this has never been publically made (the closest to this is probably Barto, Sutton and Watkins, 1990). On the other hand, the links between classical (or Pavlovian) conditioning and temporal-difference (TD) learning (one of the central elements of RL) are close and widely acknowledged (see Sutton and Barto, 1990).

Yes. You may have to spend a few minutes updating some reports to utilize the special Abra 'Data Dictionary' we supply at no additional cost. Liveware is ready to help you with any issues. We've been through this transition process with hundreds of Abra Suite users, and the only reports that would require modification are those originally created using the old (circa 1995) .RP5 libraries and containing certain 'underscore' fields such as _LEVEL2. If you have reports in .

The ACT-R versions are described and linked to in (G5). The Common Lisp implementations that we know that work are listed below, roughly in order of ease of use, not price. Approximate price is in parentheses for single user license. Clisp: It is running on Windows and other Unix systems, such as Linux, FreeBSD, NetBSD, and Solaris, etc. (free) There is a version of ACT-R in Java being created by Tony Harrison. You can get more information from the jACT-R website.

ACT-R is useful for modeling human cognition. It is particularly strong in modeling traditional, so-called, experimental psychology data, modeling cognitive psychology data, and as serving as a way to cumulate the results in these areas. If you are interested in understanding and predicting data in these areas, it should be considered a possible tool for you.

Anderson, J. R., Bothell, D., Byrne, M. D., Douglass, S., Lebiere, C., & Qin, Y. (2004). An integrated theory of mind. Psychological Review, 111(4), 1036-1060. Anderson, J. R., & Lebiere, C. (1998). The Atomic Components of Thought. Mahwah, NJ: Lawrence Erlbaum Associates. Anderson, J. R. (2007). How can the human mind occur in the physical universe? New York: Oxford University Press.

Helpful, general, information on composing a bug report can be found here. Basically, as you may already know, the clearer and more concise and more repeatable your bug is, the more help can be given.

The ACT-R community meets annually at the ACT-R Workshop. This year's (2006) workshop was held at Carnegie Mellon University from July 21 to 23. Various other meetings occur throughout the year. One example is the Winter Workshop on ACT-R models of Human-System Interaction. The community is also often seen at the Cognitive Science Conference and at the International Conference on Cognitive Modeling.

Anderson, J. R., Schunn, C. D. (2000). Implications of the ACT-R learning theory: No magic bullets. In R. Glaser (Ed.), Advances in instructional psychology: Educational design and cognitive science, 5 (1-33). Mahwah, NJ: Erlbaum. Anderson, J. R., Corbett, A. T., Koedinger, K. R., & Pelletier, R. (1995). Cognitive tutors: Lessons learned. The Journal of the Learning Sciences, 4 (2), 167-207. Koedinger, K. R., Anderson, J. R., Hadley, W. H., & Mark, M. A. (1997).