Date of Award
2007
Document Type
Thesis
Publisher
Edith Cowan University
Degree Name
Bachelor of Science Honours
School
School of Computer and Security Science
Faculty
Faculty of Computing, Health and Science
First Supervisor
Phillip Hingston
Abstract
This study aims to achieve higher replay and entertainment value in a game through human-like AI behaviour in computer controlled characters called bats. In order to achieve that, an artificial intelligence system capable of learning from observation of human player play was developed. The artificial intelligence system makes use of machine learning capabilities to control the state change mechanism of the bot. The implemented system was tested by an audience of gamers and compared against bats controlled by static scripts. The data collected was focused on qualitative aspects of replay and entertainment value of the game and subjected to quantitative analysis
Recommended Citation
Soni, B. (2007). Using machine learning techniques to create AI controlled players for video games. Edith Cowan University. https://ro.ecu.edu.au/theses_hons/1294