Analysis of Evolutionary Program Synthesis for Card Games
Artificial Intelligence
2021-01-12 v1 Computer Science and Game Theory
Abstract
In this report, we inspect the application of an evolutionary approach to the game of Rack'O, which is a card game revolving around the notion of decision making. We first apply the evolutionary technique for obtaining a set of rules over many generations and then compare them with a script written by a human player. A high-level domain-specific language is used that deter-mines which the sets of rules are synthesized. We report the results by providing a comprehensive analysis of the set of rules and their implications.
Keywords
Cite
@article{arxiv.2101.03172,
title = {Analysis of Evolutionary Program Synthesis for Card Games},
author = {Rohan Saha and Cassidy Pirlot},
journal= {arXiv preprint arXiv:2101.03172},
year = {2021}
}