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Research on the Intelligence of NBA2K Game Based on Machine Learning

Author(s)

Hongyu Lian

Affiliation(s)

Fujian Normal University, Fuzhou, Fujian, China

Abstract

With the rapid development of machine learning techniques, their application in various fields is becoming increasingly widespread. Data-based machine learning is an important aspect of modern intelligent technology, which studies the search for laws from observed data (samples) and uses these laws to make predictions about future data or unobservable data. The aim of this thesis is to explore the possibility of applying machine learning techniques to the NBA2K basketball game and to investigate their impact on game intelligence. By analysing game data and patterns, models are built using machine learning algorithms and integrated into the game system in order to improve the playability and challenge of the game and to achieve a more personalised gaming experience.

Keywords

Machine Learning; NBA2K; Data Analysis; Game Intelligence

References

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