Game Intelligence

Devlin, Sam, Cowling, Peter, Kudenko, Daniel, Goumagias, Nikolaos, Nucciareli, Alberto, Cabras, Ignazio, Fernandes, Kiran and Li, Feng (2014) Game Intelligence. In: Proceedings of the IEEE Conference on Computational Intelligence and Games (CIG 2014). IEEE, Piscataway, NJ. ISBN 9781479935468

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Official URL: http://dx.doi.org/10.1109/CIG.2014.6932917

Abstract

Game Intelligence is useful knowledge gained through playing games. This can arise directly for the player through in-game learning (Individual Game Intelligence), or indirectly through analysis of the gameplay data of other players (Collective Game Intelligence). Given the digital nature of many modern games and the growing ubiquitous presence of an internet connection, the analysis of vast quantities of gameplay data is now possible. In this paper we will survey existing data mining studies that have extracted Collective Game Intelligence from games designed for education, scientific discovery and entertainment.

Item Type: Book Section
Subjects: G400 Computer Science
Department: Faculties > Business and Law > Newcastle Business School > Business and Management
Depositing User: Nikolaos Goumagias
Date Deposited: 30 Oct 2014 15:01
Last Modified: 20 Jul 2017 12:13
URI: http://nrl.northumbria.ac.uk/id/eprint/17831

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