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AI Strategy Formulation Across Various Game Genres - A Literature Review


Affiliations
1 Computer Science Department, CUNY Graduate Center, New York, United States
2 Distinguished Professor, Emeritus, Computer Science Department, CUNY Graduate Center, New York, India

Game AI is a very active area of study in recent times. These advancements appear to coincide with advancements in processing power of both computers and gaming consoles, allowing for deploying more computationally intensive algorithm. This paper samples a small selection of papers from two periods, the late 2000s to early 2010s and the beginnings of the 2020s to current time in order to demonstrate this transition toward higher level of AI development.

Keywords

Literature Review, Strategy Formulation, Game Playing Algorithm
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  • AI Strategy Formulation Across Various Game Genres - A Literature Review

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Authors

Cheuk Man Chan
Computer Science Department, CUNY Graduate Center, New York, United States
Robert Haralick
Distinguished Professor, Emeritus, Computer Science Department, CUNY Graduate Center, New York, India

Abstract


Game AI is a very active area of study in recent times. These advancements appear to coincide with advancements in processing power of both computers and gaming consoles, allowing for deploying more computationally intensive algorithm. This paper samples a small selection of papers from two periods, the late 2000s to early 2010s and the beginnings of the 2020s to current time in order to demonstrate this transition toward higher level of AI development.

Keywords


Literature Review, Strategy Formulation, Game Playing Algorithm