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`