Evolving content in the galactic arms race video game
Inhaltsverzeichnis
Referenz
Hastings, E.J., Guha, R.K., Stanley, K.O.: Evolving content in the galactic arms race video game. In: Proceedings of the IEEE Symposium on Computational Intelligence and Games (CIG 2009), pp. 241–248. IEEE (2009)
DOI
http://dx.doi.org/10.1109/CIG.2009.5286468
Abstract
Video game content includes the levels, models, items, weapons, and other objects encountered and wielded by players during the game. In most modern video games, the set of content shipped with the game is static and unchanging, or at best, randomized within a narrow set of parameters. However, ideally, if game content could be constantly renewed, players would remain engaged longer in the evolving stream of novel content. To realize this ambition, this paper introduces the content-generating neuroevolution of augmenting topologies (cgNEAT) algorithm, which automatically evolves game content based on player preferences, as the game is played. To demonstrate this approach, the galactic arms race (GAR) video game is also introduced. In GAR, players pilot space ships and fight enemies to acquire unique particle system weapons that are evolved by the game. As shown in this paper, players can discover a wide variety of content that is not only novel, but also based on and extended from previous content that they preferred in the past. The implication is that it is now possible to create games that generate their own content to satisfy players, potentially significantly reducing the cost of content creation and increasing the replay value of games.
Extended Abstract
Bibtex
@INPROCEEDINGS{5286468,
author={E. J. Hastings and R. K. Guha and K. O. Stanley},
booktitle={2009 IEEE Symposium on Computational Intelligence and Games},
title={Evolving content in the Galactic Arms Race video game},
year={2009},
pages={241-248},
keywords={computer games;human computer interaction;video signal processing;augmenting topologies algorithm;content-generating neuroevolution;galactic arms race video game;particle system weapons;Arm;Artificial neural networks;Costs;Evolutionary computation;Games;Machine learning;Marine vehicles;Streaming media;Topology;Weapons},
doi={10.1109/CIG.2009.5286468},
url={http://dx.doi.org/10.1109/CIG.2009.5286468 http://de.evo-art.org/index.php?title=Evolving_content_in_the_galactic_arms_race_video_game},
ISSN={2325-4270},
month={Sept},
}
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Links
Full Text
http://eplex.cs.ucf.edu/papers/hastings_cig09.pdf
