Analyzing player behavior in Pacman using feature-driven decision theoretic predictive modeling
Benjamin Ultan Cowley, Darryl K. Charles, Michaela M. Black, Ray J. Hickey · 2009
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.