🧠 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

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

Source for ACT Rules website

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/

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.

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

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