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.
|Title of host publication||Proceedings of the IEEE Conference on Computational Intelligence and Games (CIG 2014)|
|Place of Publication||Piscataway, NJ|
|Publication status||Published - 26 Aug 2014|
|Event||IEEE Conference on Computational Intelligence and Games (CIG 2014) - Dortmund, Germany|
Duration: 26 Aug 2014 → …
|Conference||IEEE Conference on Computational Intelligence and Games (CIG 2014)|
|Period||26/08/14 → …|