In this file, we describe the main files and folders. We checked the following environments.

• ACT-R (7.21)
• SBCL (2.0)
• Python (3.8.12)
• NumPy (1.21.5)
• Pandas (1.4.2)
• Matplotlib (3.5.1)
• Pytourch (1.9.0)
• jupyter_core (4.7.1)
• jupyter-notebook (6.3.0)

act-r directory

This directory contains the source code for the ACT-R models.

• 7_7
• 9_9
• 11_11

The files in these directories are maze maps. Each map file includes exterior walls, so the actual map sizes are 5x5, 7x7, and 9x9.

• random.lisp randome model

• backtrack.lisp DFS model

• instance-base.lisp DFS+IBL model

• main.py This file describes the main process for executing the ACT-R model. Please place this file and the maze map directories in the same location mentioned above under the ACT-R environment. Additionally, please set the path to each of the aforementioned models on line 310 of this file. After launching ACT-R, you can execute the following command.

execution example: python main.py

Please install Python version 3 or higher. Additionally, make sure to install NumPy and Pandas.

data directory

This directory contains the simulation results of the models (ACT-R and ICM) and a script that outputs them to graphs.

• data.ipynb A Jupyter script file that outputs the simulation results.

icm directory

This directory contains the source code for the ICM model.

• 7_7
• 9_9
• 11_11

These files in these directories are the same maze maps above (act-r directory).

• main.py This file describes the main process for executing the ICM model. Please place this file and the maze map directories in the same location.

execution example: python main.py