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2021 | OriginalPaper | Chapter

A Swarm Grammar-Based Approach to Virtual World Generation

Authors : Yasin Raies, Sebastian von Mammen

Published in: Artificial Intelligence in Music, Sound, Art and Design

Publisher: Springer International Publishing

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Abstract

In this work we formulate and propose an extended version of the multi-agent Swarm Grammar (SG) model for the generation of virtual worlds. It unfolds a comparatively small database into a complex world featuring terrain, vegetation and bodies of water. This approach allows for adaptivity of generated assets to their environment, unbounded worlds and interactivity in their generation. In order to evaluate the model, we conducted sensitivity analyses at a local interaction scale. In addition, at a global scale, we investigated two virtual environments, discussing notable interactions, recurring configuration patterns, and obstacles in working with SGs. These analyses showed that SGs can create visually interesting virtual worlds, but require further work in ease of use. Lastly we identified which future extensions might shrink required database sizes.

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Metadata
Title
A Swarm Grammar-Based Approach to Virtual World Generation
Authors
Yasin Raies
Sebastian von Mammen
Copyright Year
2021
DOI
https://doi.org/10.1007/978-3-030-72914-1_30

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