Examining The Intersection Between Machine Learning and Video Games
Year: 2025
Type: dissertation
Abstract: Historically, computers have always been worse than humans when it comes to artistic expression. Now, with the rise of artificial intelligence, computers have become increasingly proficient at mimicking human artistic expression, and even perform better than humans in some areas. Specifically, machines are far superior to humans at playing relatively simple games like Connect Four. In the last few decades, computers have even far eclipsed humans at playing more complex games, such as western chess and the Chinese game, Go using novel machine learning techniques. Even despite this, machine learning has yet to crack the most complex of competitive games, like the Pokémon video games. This body of works aims to both advance machine learning in complex games and address the effects of machine learning on the value of human artistic expression.
Source: Libra
DOI: 10.18130/nxft-zw30
Author: William Bradford
Institution: University of Virginia
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6925471629
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