… The five modeling paradigms that we will use to discuss ACT-R are the following: Instance
learning uses previous experiences to guide choices, and focuses on ACT-R's declarative …

… ACT-R is a hybrid cognitive architecture. It is comprised of a set of programmable … ACT-R,
and also note several major accomplishments that have been gained by working with ACT-R in …

… ACT-R is capable of interacting with the same computer screens that subjects do and, as …
demonstration of ACT-R's application to menu selection and show that the ACT-R theory makes …

… This paper presents an ACT-R model that can account for the main effects of cognitive
arithmetic in a single simulation by exploiting the architecture’s learning mechanisms. …

… Third, we will provide an overview of ACT-R as well as of the models we implement. Fourth,
we will illustrate how these models’ ability to predict people’s decisions and decision times …

… ACT-R will remain totally unchanged in this effort. We have already found some aspects of the
ACT-R … RN are to increase the plausibility of ACT-R by showing how it might be mapped in …

… In contrast, ACT -R implies that there is no "free lunch" and each piece of knowledge … it
cannot be true within the ACT -R theory. This chapter describes the ACT -R theory and its learning …

… This change suggests that the special treatment of the isa slot is no longer a core component
of the ACT-R theory, so we have not included it in Python ACT-R as a computationally …

… clearly the main ideas of ACT-R from the top-level … ACT-R literature was vague or inconsistent,
and to summarize in one relatively short document the “complete picture” of ACT-R (or at …

… ACT-R theory and relate them to several working memory issues (the designated questions).
We present an ACT-R … work in progress - developing ACT-R models of individual's working …