Multi-agent evolutionary systems for the generation of complex virtual worlds

TL;DR

This paper presents an innovative approach combining an Interactive Genetic Algorithm with intelligent agents to enhance the modeling of complex virtual worlds, reducing user fatigue and accelerating the creative process in computer graphics.

Contribution

It introduces a novel workflow that integrates intelligent agents with IGA to improve efficiency and user experience in complex virtual world modeling.

Findings

Reduces user fatigue during interactive evolution

Speeds up the creation of complex models

Learns from user choices to guide the search process

Abstract

Modern films, games and virtual reality applications are dependent on convincing computer graphics. Highly complex models are a requirement for the successful delivery of many scenes and environments. While workflows such as rendering, compositing and animation have been streamlined to accommodate increasing demands, modelling complex models is still a laborious task. This paper introduces the computational benefits of an Interactive Genetic Algorithm (IGA) to computer graphics modelling while compensating the effects of user fatigue, a common issue with Interactive Evolutionary Computation. An intelligent agent is used in conjunction with an IGA that offers the potential to reduce the effects of user fatigue by learning from the choices made by the human designer and directing the search accordingly. This workflow accelerates the layout and distribution of basic elements to form complex models. It captures the designer's intent through interaction, and encourages playful discovery.