Predictive human performance modeling for UI/UX design
🧠 A tool for creating & running basic ACT-R models on multiple implementations using a single declarative file format
A Julia Package for the ACT-R Cognitive Architecture
Generate synthetic eye-tracking data using deep learning and ACT-R cognitive model
A set of tutorials for building likelihood based models in ACT-R
Mirror of the official ACT-R Lisp implementation
A Julia package for the ACT-R cognitive architecture
Visual Studio Code proof of concept plugin for the ACT-R project http://act-r.psy.cmu.edu/
A module to replace ACT-R's utility module with classic RL theory algorithms
A model of how reinforcement learning parameters affect performance on Raven's matrices
A Python implementation of the ACT-R cognitive Architecture
Delayed Rule Inferral (Delayed vs Prepared control of motor responses)
This project explores the integration of an episodic memory module into PyACTR. The goal is to enhance the agent's performance in language processing tasks that require context and pattern recognition.
ACT-R Interactive Demo using Lemonade as a Case Study
Wordwar game implementation for App-lab course
A Julia package for an ACT-R model of fatigue on the psychomotor vigilance test
Modelling the effects of rumination on free recall in ACT-R.
Bucknell CSCI 357: Using Python ACT-R to train an AI "Roomba" to intelligently clean a virtual room.
model with second order theory of mind
Add a description, image, and links to the act-r topic page so that developers can more easily learn about it.
To associate your repository with the act-r topic, visit your repo's landing page and select "manage topics."