Generate synthetic eye-tracking data using deep learning and ACT-R cognitive model
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Updated
Jul 8, 2022 - Python
Generate synthetic eye-tracking data using deep learning and ACT-R cognitive model
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 Python implementation of the ACT-R cognitive Architecture
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.
Python package to ease the run of multiple ACT-R scripts
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