# Automatic Game Design via Mechanic Generation

## TL;DR

This paper introduces an AI-based system for automatic game design that generates and tests game mechanics across different genres using a composable, cross-domain representation and constraint solving.

## Contribution

It presents a novel, AI-driven framework for generating and validating game mechanics, enabling automated game creation across multiple genres.

## Key findings

- Successfully modeled mechanics in RPGs and platformers
- Generated playable game mechanics meeting design constraints
- Demonstrated cross-domain applicability of the approach

## Abstract

Game designs often center on the game mechanics---rules governing the logical evolution of the game. We seek to develop an intelligent system that generates computer games. As first steps towards this goal we present a composable and cross-domain representation for game mechanics that draws from AI planning action representations. We use a constraint solver to generate mechanics subject to design requirements on the form of those mechanics---what they do in the game. A planner takes a set of generated mechanics and tests whether those mechanics meet playability requirements---controlling how mechanics function in a game to affect player behavior. We demonstrate our system by modeling and generating mechanics in a role-playing game, platformer game, and combined role-playing-platformer game.