Data-Driven Decision Theory for Player Analysis in Pacman. Cowley, B., Charles, D., Black, M. M, & Hickey, R. J In Proceedings of Articifical Intelligence in Interactive Digital Entertainment 2007, pages 25–30, United States, 2007. AAAI Press. abstract bibtex Computer and videogames have been described using several formal systems – in this paper we consider them as Information Systems. In particular, we use a Decision Theoretic approach to model and analyse off-line, data from PacmanTM players. Our method attempts to calculate the optimal choices available to a player based on key utilities for a given game state. Our hypothesis in this approach is that observing a player’s deviation from the optimal choices predicted can reveal their play preferences and skill, and thus form a basic player classifier. The method described builds on work done in [Cowley et al 2006], increasing the scope and sophistication of the model by decreasing reliance on supervision. The downside is a consequent performance hit, which prevents real-time execution of the modelling algorithm. In this paper we outline the basic principle of the Decision Theoretic approach and discuss the results of our evolution toward data-driven classification. Introduction
@inproceedings{cowley_data-driven_2007,
address = {United States},
title = {Data-{Driven} {Decision} {Theory} for {Player} {Analysis} in {Pacman}},
abstract = {Computer and videogames have been described using several formal systems – in this paper we consider them as Information Systems. In particular, we use a Decision Theoretic approach to model and analyse off-line, data from PacmanTM players. Our method attempts to calculate the optimal choices available to a player based on key utilities for a given game state. Our hypothesis in this approach is that observing a player’s deviation from the optimal choices predicted can reveal their play preferences and skill, and thus form a basic player classifier. The method described builds on work done in [Cowley et al 2006], increasing the scope and sophistication of the model by decreasing reliance on supervision. The downside is a consequent performance hit, which prevents real-time execution of the modelling algorithm. In this paper we outline the basic principle of the Decision Theoretic approach and discuss the results of our evolution toward data-driven classification. Introduction},
language = {English},
booktitle = {Proceedings of {Articifical} {Intelligence} in {Interactive} {Digital} {Entertainment} 2007},
publisher = {AAAI Press},
author = {Cowley, Benjamin and Charles, Darryl and Black, Michaela M and Hickey, Ray J},
editor = {Yannakakis, Georgios},
year = {2007},
keywords = {A4, Conference, peer reviewed},
pages = {25--30},
}
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