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Analyzing player behavior in Pacman using feature-driven decision theoretic predictive modelling.

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Cowley, Ben, Charles, Darryl, Black, Michaela and Hickey, Raymond (2009) Analyzing player behavior in Pacman using feature-driven decision theoretic predictive modelling. In: IEEE Symposium on Computational Intelligence and Games 2009, Politecnico di Milano, Milan, Italy. UNSPECIFIED. 8 pp. [Conference contribution]

Full text not available from this repository.

URL: http://www.ieee-cig.org/cig-2009/Proceedings/proceedings/papers/cig2009_024e.pdf

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.

Item Type:Conference contribution (Paper)
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Information Engineering
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Information and Communication Engineering
ID Code:9221
Deposited By:Mr Raymond Hickey
Deposited On:01 Feb 2010 16:19
Last Modified:24 Jun 2011 12:50

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