×
Jun 1, 2013 · The ACT-R theory of cognition developed by John Anderson and colleagues endeavors to explain how humans recall chunks of information and how they solve ...
ACT-R models how humans recall “chunks” of information from memory and how they solve problems by breaking them down into subgoals and applying knowledge from ...
The ACT-R theory of cognition developed by John Anderson and colleagues endeavors to explain how humans recall chunks of information and how they solve ...
This paper aims to provide a tutorial to the core components of the ACT-R theory of cognition, which serves as a theoretical basis for "cognitive tutors", ...
People also ask
Jan 24, 2019 · Adaptive Control of Thought-Rational (ACT-R) is a high-level computational simulation of human cognitive processing and one of the cognition ...
unified architecture: An ACT-R perspective. In Miyake, A. & Shah, P. (Eds.) Models of Working Memory: Mechanisms of Active Maintenance and. Executive Control ...
We present ACT-R/E (Adaptive Character of Thought-Rational / Embodied), a cognitive architecture for human-robot interaction. Our reason for using ACT-R/E ...
ACT-R is a hybrid cognitive architecture. It is comprised of a set of programmable information processing mechanisms that can be used to predict and explain ...
Feb 15, 2022 · ACT-R focuses on problem-solving, particularly in well-defined domains like algebra or programming. Specifically, its focus is on intellectual skills.
Missing: Outsider's Perspective.
We provide a tutorial on using the cognitive architecture ACT-R with fMRI data. Region-of-interest analysis and model-based fMRI analysis are discussed.
Missing: Outsider's | Show results with:Outsider's