A Controllable Co-Creative Agent for Game System Design
Rohan Agarwal, Zhiyu Lin, Mark Riedl

TL;DR
This paper introduces a flexible, controllable co-creative system for game system design that models games abstractly, enabling collaboration across various genres and supporting human designers.
Contribution
It presents a novel abstract game modeling approach using state-machine components and resource flows, along with a controllable evaluation and generation system for co-creative game design.
Findings
System can express a wide range of game types
System is human-controllable for co-creative applications
Effective in collaborative game system design
Abstract
Many advancements have been made in procedural content generation for games, and with mixed-initiative co-creativity, have the potential for great benefits to human designers. However, co-creative systems for game generation are typically limited to specific genres, rules, or games, limiting the creativity of the designer. We seek to model games abstractly enough to apply to any genre, focusing on designing game systems and mechanics, and create a controllable, co-creative agent that can collaborate on these designs. We present a model of games using state-machine-like components and resource flows, a set of controllable metrics, a design evaluator simulating playthroughs with these metrics, and an evolutionary design balancer and generator. We find this system to be both able to express a wide range of games and able to be human-controllable for future co-creative applications.
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Taxonomy
TopicsArtificial Intelligence in Games · Data Visualization and Analytics · Digital Games and Media
