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AI education matters: data science and machine learning with magic: the gathering

Published: 05 August 2019 Publication History

Abstract

In this column, we briefly describe a rich dataset with many opportunities for interesting data science and machine learning assignments and research projects, we take up a simple question, and we offer code illustrating use of the dataset in pursuit of answers to the question.

References

[1]
Churchill, A., Biderman, S., & Herrick, A. (2019). Magic: The gathering is turing complete. CoRR, abs/1904.09828. Retrieved from http://arxiv.org/abs/1904.09828
[2]
Cowling, P., Ward, C., & Powley, E. (2012). Ensemble determinization in Monte Carlo tree search for the imperfect information card game "Magic: The Gathering". IEEE Transactions on Computational Intelligence and AI in Games, 4(4), 241--257.
[3]
Summerville, A., & Mateas, M. (2016). Mystical tutor: A Magic: The Gathering design assistant via denoising sequence-to-sequence learning. In Proc. AAAI conference on artificial intelligence and interactive digital entertainment 2016.
[4]
Ward, C., & Cowling, P. (2009). Monte Carlo search applied to card selection in Magic: The Gathering. In Proc. 2009 IEEE symposium on computational intelligence and games (pp. 9--16). IEEE.

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Published In

cover image AI Matters
AI Matters  Volume 5, Issue 2
June 2019
44 pages
EISSN:2372-3483
DOI:10.1145/3340470
Issue’s Table of Contents

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 August 2019
Published in SIGAI-AIMATTERS Volume 5, Issue 2

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