Game Intelligence

Sam Devlin, Peter Cowling, Daniel Kudenko, Nick Goumagias, Alberto Nucciareli, Ignazio Cabras, Kiran Fernandes, Feng Li

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

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.
Original languageEnglish
Title of host publicationProceedings of the IEEE Conference on Computational Intelligence and Games (CIG 2014)
Place of PublicationPiscataway, NJ
PublisherIEEE
ISBN (Print)9781479935468
Publication statusPublished - 26 Aug 2014
EventIEEE Conference on Computational Intelligence and Games (CIG 2014) - Dortmund, Germany
Duration: 26 Aug 2014 → …

Conference

ConferenceIEEE Conference on Computational Intelligence and Games (CIG 2014)
Period26/08/14 → …

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