Opponent-based tactic selection for a first person shooter game

About this item

Title

Opponent-based tactic selection for a first person shooter game

Content partner

University of Canterbury Library

Collection

UC Research Repository

Description

Video games are quickly becoming a significant part of society with a growing industry that employs a wide range of talent, from programmers to graphic artists. Video games are also becoming an interesting and useful testbed for Artificial Intelligence research. Complex, realistic environmental constraints, as well as performance considerations demand highly efficient AI techniques. At the same time, the AI component of a video game may define the ongoing commercial success, or failure, of a ...

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Format

Research paper

Research format

Conference paper

Date created

2011

Creator

Thomson, D. / Mitrovic, Antonija

URL

http://hdl.handle.net/10092/5245

Related subjects

Opponent modeling / Adaptive AI / Machine learning / Student modeling / Video games / Quake 3 / Information and Computing Sciences / Artificial Intelligence and Image Processing / Artificial Intelligence and Image Processing not elsewhere classified / Information Systems / Computer-Human Interaction / Computer Software / Multimedia Programming

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More Information

You can learn more about the rights status of this item at: https://hdl.handle.net/10092/17651

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