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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