Pixie: Code-Level Mechanic Generation for Game Designers

Procedural generation has been applied to many kinds of game content including levels, puzzles and narrative. Although PCG researchers have tackled the generation of rules and mechanics, these systems typically operate on bespoke codebases designed for mechanic invention tasks. In this paper we present Pixie, a system for generating and testing game mechanics that can be installed in any Unity project and configured using a simple annotation process to focus its scope and objectives. We describe the system's design and operation, demonstrate its ability to generate mechanics for several open-source Unity games, and provide an initial discussion of developer perspectives on the content it generates and its usefulness as a design companion.

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Publication Details

Journal
Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment
Published
2025-11-07
DOI
https://doi.org/10.1609/aiide.v21i1.36824
Primary Topic
Artificial Intelligence in Games
Type
article
Field-Weighted Citation Impact
0.00
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article

Pixie: Code-Level Mechanic Generation for Game Designers

Michael Cook
Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment
Artificial Intelligence in Games
article

Pixie: Code-Level Mechanic Generation for Game Designers

Michael Cook
article en

Abstract

Procedural generation has been applied to many kinds of game content including levels, puzzles and narrative. Although PCG researchers have tackled the generation of rules and mechanics, these systems typically operate on bespoke codebases designed for mechanic invention tasks. In this paper we present Pixie, a system for generating and testing game mechanics that can be installed in any Unity project and configured using a simple annotation process to focus its scope and objectives. We describe the system's design and operation, demonstrate its ability to generate mechanics for several open-source Unity games, and provide an initial discussion of developer perspectives on the content it generates and its usefulness as a design companion.

Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital EntertainmentVol. 21(1)
King's College London (GB)
Openalex Percentile: Top 82%
Artificial Intelligence in Games
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