🧠 A tool for creating & running basic ACT-R models on multiple implementations using a single declarative file format

Predictive human performance modeling for UI/UX design

Generate synthetic eye-tracking data using deep learning and ACT-R cognitive model

A Julia Package for the ACT-R Cognitive Architecture

A set of tutorials for building likelihood based models in ACT-R

Mirror of the official ACT-R Lisp implementation

Source for ACT Rules website

A Julia package for the ACT-R cognitive architecture

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.

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)

ACT-R Interactive Demo using Lemonade as a Case Study

Wordwar game implementation for App-lab course

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.

A Julia package for an ACT-R model of fatigue on the psychomotor vigilance test

model with second order theory of mind