Abstract. In this paper we explore the use of case-based plan recognition to predict a player's actions in a computer game. The game we work with is the classic Space Invaders game and we show that case-based plan recognition can produce good prediction accuracy in real-time, working with a fairly simple game representation. Our evaluation suggests that a personalized plan library will produce better prediction accuracy but, for Space Invaders, good accuracy can be produced using a plan library derived from the game play of another player.
For example, Fagan and Cunningham REF describe the use of case-based plan recognition to predict a player's actions in real time interaction with the game Space Invaders.
Case-Based Plan Recognition in Computer Games
Proceedings of the Fifth ICCBR
Computer Science