TY - GEN
T1 - Video Games as a Testbed for Open-Ended Phenomena
AU - Earle, Sam
AU - Togelius, Julian
AU - Soros, L. B.
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Understanding and engineering open-endedness, or the indefinite generation of novelty and complexity at arbitrary scales, has long been studied by implementing nature-inspired simulations specifically designed for artificial life studies. This paper argues that video games serve as a complementary domain for research on open-endedness. In support of this claim, experiments in this paper evaluate the effects of age-based and spatial destructive events in two game domains: an interactive Game of Life and the city-building game SimCity. These games are played by a neural-network-controlled gameplay agent trying to maximize reward. Results indicate that experiments with SimCity are more likely to identify statistically significant differences in complexity as a result of applied destructive events, highlighting the utility of this game domain for studying artificial life phenomena.
AB - Understanding and engineering open-endedness, or the indefinite generation of novelty and complexity at arbitrary scales, has long been studied by implementing nature-inspired simulations specifically designed for artificial life studies. This paper argues that video games serve as a complementary domain for research on open-endedness. In support of this claim, experiments in this paper evaluate the effects of age-based and spatial destructive events in two game domains: an interactive Game of Life and the city-building game SimCity. These games are played by a neural-network-controlled gameplay agent trying to maximize reward. Results indicate that experiments with SimCity are more likely to identify statistically significant differences in complexity as a result of applied destructive events, highlighting the utility of this game domain for studying artificial life phenomena.
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U2 - 10.1109/CoG52621.2021.9619042
DO - 10.1109/CoG52621.2021.9619042
M3 - Conference contribution
AN - SCOPUS:85122913305
T3 - IEEE Conference on Computatonal Intelligence and Games, CIG
BT - 2021 IEEE Conference on Games, CoG 2021
PB - IEEE Computer Society
T2 - 2021 IEEE Conference on Games, CoG 2021
Y2 - 17 August 2021 through 20 August 2021
ER -