ai-nk-cce 0.1.1

This repository is used to train AI agents to predict good strategies in a social learning game based on a NK landscape.

human-ai-social-learning

Description

Installation

This project uses Poetry for package management. If you haven't installed Poetry yet, please follow the instructions on the official Poetry website.

To install the project:

1. Clone the repository:

   git clone https://github.com/your-username/human-ai-social-learning.git
   cd human-ai-social-learning
   

2. Install dependencies with Poetry:

   poetry install
   

3. Activate the virtual environment:

   poetry shell
   

4. (Optional) Set up Jupyter kernel for notebooks:

   poetry run python -m ipykernel install --user --name nk-cce-kernel
   

Now your development environment is set up and ready to use.

Contributing

We welcome contributions! Please note:

1. Please create a descriptive branch for each contribution (naming convention feature_type/feature_name)
2. Follow the project style (PEP 8 for Python).
3. Add tests and run all before commit. (At least one test per function or method.)
4. Write meaningful commit messages.
5. Keep in line with pre-commit linting.
6. Submit a Pull Request, to include your code into main.

Pre-commit Hooks

We use pre-commit hooks. Installation:

poetry add pre-commit
pre-commit install
pre-commit run --all-files

Running Tests

Tests need to be run in the virtual environment. You can use Poetry or Visual Studio Code settings to do so automatically.

To run all tests using Poetry run:

poetry run pytest

We included Visual Studio Code settings in the repository. You can try to use them to run the tests within Visual Studio Code.

.vscode/
├── settings.json
├── launch.json

Documentation

For an overview of the repository structure, module organization, and dependencies, see the Repository Structure Guide.

Additional documentation is available in the doc/ directory:

• How to compare hill climber vs AI
• How to find average hill climber landscape
• Using MPCDF LLM inference