The Effects of Computer and AI Engines on Competitive Chess

Authors

  • Ethan Modi Bergen County Academies
  • Kymberly Acuna Bergen County Academies

DOI:

https://doi.org/10.47611/jsrhs.v12i3.4993

Keywords:

AI, Chess, Stockfish, AlphaZero, LelaChessZero, DeepBlue, FIDE, Chess Engine

Abstract

With more unique games than the number of atoms in the universe, chess has always been a mark of human intelligence. However, in the historic moment where world renown, grandmaster Kasparov was defeated by Deep Blue, chess engines have shown their power over human intelligence. This paper examines the impact of computer engines like Deep Blue, StockFish, and AlphaZero on competitive chess, considering their merits and drawbacks in shaping the game's landscape. The analysis reveals that while engines have significantly strengthened chess play, they have also posed challenges to human creativity and strategic thinking. By relying on engine-generated moves, players risk losing their individuality and turning chess into a memorization exercise. However, it is argued that a strategic collaboration between human intellect and computational power can yield optimal results in a technologically advanced chess era. The findings highlight the importance of integrating engine assistance with human cognition, emphasizing the need for players to harness engines as tools rather than substitutes for critical thinking. By utilizing engines for analysis, preparation, and validation of ideas, players can enhance their understanding of the game and explore new possibilities. Moreover, engines have played a crucial role in attracting a wider audience to competitive chess, leading to a rise in participation and an overall elevation in the level of play. Ultimately, the paper asserts that the combination of human intelligence and engine capabilities offers the most promising path for the future of competitive chess.

Downloads

Download data is not yet available.

References or Bibliography

Acher, M., & Esnault, F. (2016, April 28). Large-scale analysis of chess games with Chess Engines: A preliminary report. arXiv.org. https://arxiv.org/abs/1607.04186

Bart, W. (2016). On the Interfaces Among Educational Technology, Creativity, and Chess. Educational Technology, 56(6), 31–35. http://www.jstor.org/stable/44430505

Bushinsky, S. (2009). Deus Ex Machina — A Higher Creative Species in the Game of Chess. AI Magazine, 30(3), 63. https://doi.org/10.1609/aimag.v30i3.2255

Campbell, M., Hsu, F., & Hoane, A. J. (2001, August 9). Deep Blue. Artificial Intelligence. https://www.sciencedirect.com/science/article/pii/S0004370201001291

Greenemeier, L. (2017, June 2). 20 years after Deep Blue: How Ai has advanced since Conquering Chess. Scientific American. https://www.scientificamerican.com/article/20-years-after-deep-blue-how-ai-has-advanced-since-conquering-chess/

Hsu, F., Schaeffer, J., Marsland, T. A., & Wilkins , D. E. (1991, January). Panel: The role of chess in Artificial Intelligence Research - IJCAI. https://www.ijcai.org/Proceedings/91-1/Papers/084.pdf

Lipking, L. (2003). Chess Minds and Critical Moves. New Literary History, 34(1), 155–180. http://www.jstor.org/stable/20057770

Klein, D. (2022, September 3). Neural Networks for Chess. arXiv.org. https://arxiv.org/abs/2209.01506

Maharaj, S., Polson, N., & Turk, A. (2022, April 14). Chess AI: Competing paradigms for machine intelligence. MDPI. https://www.mdpi.com/1099-4300/24/4/550

McGrath, T., Kapishnikov, A., Tomašev, N., Pearce, A., Wattenberg, M., Hassabis, D., Kim, B., Paquet, U., & Kramnik, V. (2022). Acquisition of chess knowledge in AlphaZero. Proceedings of the National Academy of Sciences, 119(47). https://doi.org/10.1073/pnas.2206625119

Munshi, J. (2014, February 25). A method for comparing chess openings - arxiv.org. A Method for Comparing Chess Openings. https://arxiv.org/pdf/1402.6791.pdf

Panel: The role of chess in Artificial Intelligence Research - IJCAI. (n.d.). https://www.ijcai.org/Proceedings/91-1/Papers/084.pdf

Peterson, C. (2018, June 11). The E ECT of endgame tablebases on modern chess engines - cal poly. The Effect of Endgame Tablebases on Modern Chess Engines. https://digitalcommons.calpoly.edu/cgi/viewcontent.cgi?article=1276&context=cpesp

Prost, F. (2012, March 15). On the impact of Information Technologies on society: An historical perspective through the game of chess. arXiv.org. https://arxiv.org/abs/1203.3434

Roeder, O. (2022, May 20). Have chess computers destroyed the game?. Big Think. https://bigthink.com/high-culture/chess-computers/

Steen, L. A. (1975). Computer Chess: Mind vs. Machine. Science News, 108(22), 345–350. https://doi.org/10.2307/3960294

Wilkenfeld, Y. (2019). Can Chess Survive Artificial Intelligence? The New Atlantis, 58, 37–45. https://www.jstor.org/stable/26609113

Published

08-31-2023

How to Cite

Modi, E., & Acuna, K. . (2023). The Effects of Computer and AI Engines on Competitive Chess. Journal of Student Research, 12(3). https://doi.org/10.47611/jsrhs.v12i3.4993

Issue

Section

HS Review Articles