Analyzing player behavior in pacman using feature-driven decision theoretic predictive modeling

Authors:
Ben Cowley;Darryl Charles;Michaela Black;Ray Hickey
Affiliations:
Centre for Knowledge and Innovation Research, Helsinki School of Economics, Finland;School of Information and Computer Engineering, University of Ulster, Coleraine, United Kingdom;School of Information and Computer Engineering, University of Ulster, Coleraine, United Kingdom;School of Information and Computer Engineering, University of Ulster, Coleraine, United Kingdom
Venue:
CIG'09 Proceedings of the 5th international conference on Computational Intelligence and Games
Year:
2009

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Abstract

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 [1] and [2], 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.