We describe the results of a modeling methodology that combines the formal choice-system representation of decision theory with a human player-focused description of the behavioral features of game play in Pacman.This predictive player modeler addresses issues raised in previous work  and , to produce reliable accuracy. This paper focuses on using player-centric knowledge to reason about player behavior, utilizing a set of features which describe game-play to obtain quantitative data corresponding to qualitative behavioral concepts.
|Title of host publication||Unknown Host Publication|
|Number of pages||8|
|Publication status||Published - Oct 2009|
|Event||IEEE Symposium on Computational Intelligence and Games 2009 - Politecnico di Milano, Milan, Italy|
Duration: 1 Oct 2009 → …
|Conference||IEEE Symposium on Computational Intelligence and Games 2009|
|Period||1/10/09 → …|