Using multi-agent systems for constraint-based modeling

Abstract

Creating content is a vital task in computer graphics. In this paper we evaluate a constraint based scene description using a system of multiple-agents known from artificial intelligence. By using agents we separate the modeling process into small and easy to understand tasks. The parameters for each agent can be changed at any time. Re-evaluating the agent system results in a consistently updated scene, a process that allows artists to experiment until they find the desired result while still leveraging the power of constraint based modelling. Since we only need to evaluate modified agents when updating the scene, we can even use this description to perform modeling tasks on mobile devices.