A Swarm Grammar-Based Approach to Virtual World Generation
Y. Raies, and S. von Mammen. Artificial Intelligence in Music, Sound, Art and Design, page 459--474. Cham, Springer International Publishing, (2021)
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.
%0 Conference Paper
%1 10.1007/978-3-030-72914-1_30
%A Raies, Yasin
%A von Mammen, Sebastian
%B Artificial Intelligence in Music, Sound, Art and Design
%C Cham
%D 2021
%E Romero, Juan
%E Martins, Tiago
%E Rodríguez-Fernández, Nereida
%I Springer International Publishing
%K myown
%P 459--474
%T A Swarm Grammar-Based Approach to Virtual World Generation
%U https://downloads.hci.informatik.uni-wuerzburg.de/Raies2021aa.pdf
%X 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.
%@ 978-3-030-72914-1
@inproceedings{10.1007/978-3-030-72914-1_30,
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.},
added-at = {2021-04-25T10:37:55.000+0200},
address = {Cham},
author = {Raies, Yasin and von Mammen, Sebastian},
biburl = {https://www.bibsonomy.org/bibtex/2f9f05a04c38664501e875dca2c6faa5c/hci-uwb},
booktitle = {Artificial Intelligence in Music, Sound, Art and Design},
editor = {Romero, Juan and Martins, Tiago and Rodr{\'i}guez-Fern{\'a}ndez, Nereida},
interhash = {5b571584ab4e57d42a28cf98467c1b63},
intrahash = {f9f05a04c38664501e875dca2c6faa5c},
isbn = {978-3-030-72914-1},
keywords = {myown},
pages = {459--474},
publisher = {Springer International Publishing},
timestamp = {2024-05-06T17:22:37.000+0200},
title = {A Swarm Grammar-Based Approach to Virtual World Generation},
url = {https://downloads.hci.informatik.uni-wuerzburg.de/Raies2021aa.pdf},
year = 2021
}