Artificial Intelligence and Deep Learning in Video Games A Brief Review

被引:0
|
作者
Skinner, Geoff [1 ]
Walmsley, Toby [1 ]
机构
[1] Univ Newcastle, Sch Elect Engn & Comp, Callaghan, NSW, Australia
关键词
artificial intelligence; deep learning; video games; neural networks;
D O I
10.1109/ccoms.2019.8821783
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Artificial Intelligence has been used in many fields since the term was coined six decades ago. Artificial Intelligence in video games was introduced with Atari 2600's early titles such as 'Computer Space' and 'Pong' and has come a lung way since. However, it has become expected of developers to have flawless AI which is as human-like as possible. Neural Networks are allowing AI systems to become smarter and used in ways such as OpenAl does with their game-playing hots. Many game-playing Neural Networks use reinforcement learning to train as it allows for more efficient training for larger games where the number of possible positions and combinations of game mechanics are extremely large. This paper provides an introductory literature review of these core fields of research as they applied within a video game context.
引用
收藏
页码:404 / 408
页数:5
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