Intelligent Self-learning Characters for Computer Games

This source preferred by Wen Tang

Authors: Wan, T.R. and Tang, W.

Start date: 3 April 2002

This data was imported from Scopus:

Authors: Tang, W. and Wan, T.R.

Journal: Proceedings - 20th Eurographics UK Conference, EGUK 2002

Pages: 51-58

ISBN: 9780769515182

DOI: 10.1109/EGUK.2002.1011272

© 2002 IEEE. In this paper, a novel AI-based animation approach is presented to simulate intelligent self-learning characters for computer games or other interactive virtual reality applications. The complex learning behaviours of the virtual characters are modelled as an evolutionary process so that adaptive AI algorithms such as genetic algorithms have been used to simulate the learning process. The simulation method enables the characters in a computer game environment to have abilities to learn for specific assigned tasks. Its skill for completing the tasks can be developed and evolved through its experiences of performing the tasks. The paper also describes techniques for performance evaluation and optimisation for virtual characters to perform jumping tasks.

The data on this page was last updated at 04:51 on February 15, 2019.