Foundations of a Computational Science of Game Design: Abstractions and Tradeoffs

Authors

  • Rogelio E. Cardona-Rivera University of Utah

Abstract

This paper presents the foundations of a computational science of game design—a model of abstraction: the outcome of a situated design process that conceptualizes something in terms of something else for a specific purpose. The outcome of abstraction is modeled via an abstraction scheme, a step toward modeling the process of game design abstraction from a human-centered perspective. A scheme’s purpose is couched relative to a scheme’s properties, also defined herein; collectively, the properties represent the space of tradeoffs designers must navigate for engineering virtual worlds. This model’s analytical traction is evidenced by applying it to the design of pathfinding, a core behavior in artificial intelligence for games. More broadly, it is a foundation for shared progress because it affords directly comparing particular abstractions of concepts and phenomena across the gamut of research on intelligent systems in entertainment.

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Published

2020-10-01

How to Cite

Cardona-Rivera, R. (2020). Foundations of a Computational Science of Game Design: Abstractions and Tradeoffs. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 16(1), 167-174. Retrieved from https://ojs.aaai.org/index.php/AIIDE/article/view/7426