This repository provides Artificial Intelligence extensions to Stephen Lavelle's Puzzlescript, an open-source HTML5 Puzzle Game Engine available at http://www.puzzlescript.net
The PuzzleScript-AI extensions including the simulator and evolver were presented at the Computational Intelligence and Games 2014 Conference in Dortmund, Germany. To cite:
- Chong-U Lim and D. Fox Harrell. (2014) "An Approach to General Videogame Evaluation and Automatic Generation using a Description Language", Proceedings of the IEEE Conference on Computational Intelligence and Games (CIG), Dortmund, Germany, 2014. 8 pp.
PuzzleScript-AI is dual-licensed.
- All the code-related to PuzzleScript is under the MIT License (MIT) and Copyright (c) Stephen Lavelle
- The AI-extensions (js/simulator.js and js/evolver.js) are under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported
The implementation of Monte Carlo Tree Search was done by the team of Sidney Small, Thomas Milne-Jones, and Lauren Cunningham for their undergraduate course in Game AI at the University of California, Santa Cruz.