What can game AI teach us?
| Data(s) |
2014
|
|---|---|
| Resumo |
Artificial intelligence (AI) applications typically involve encoding expert knowledge in machine form to find optimal solutions for a given problem. However, this paper deals with the opposite process of extracting new and human-comprehensible insights from emergent AI behaviour. Some examples of useful game-related insights drawn from observing AI players in action are presented. |
| Formato |
application/pdf |
| Identificador | |
| Publicador |
International Computer Games Association |
| Relação |
http://eprints.qut.edu.au/85004/1/__staffhome.qut.edu.au_staffgroupm%24_meaton_Desktop_game-ai-2.pdf https://chessprogramming.wikispaces.com/ICGA+Journal#Table of Contents, Abstracts and Selected Papers-Volume 37, 2014-ICGA Journal, Vol. 37, No. 3 Browne, Cameron B. (2014) What can game AI teach us? ICGA Journal, 37(3), pp. 171-175. |
| Direitos |
Copyright 2014 International Computer Games Association |
| Fonte |
School of Electrical Engineering & Computer Science; Science & Engineering Faculty |
| Palavras-Chave | #Artificial intelligence #AI behaviour |
| Tipo |
Journal Article |
