Darwin's Demons: Does Evolution Improve the Game?

被引:10
作者
Soule, Terence [1 ]
Heck, Samantha [1 ]
Haynes, Thomas E. [1 ]
Wood, Nicholas [1 ]
Robison, Barrie D. [1 ]
机构
[1] Univ Idaho, Moscow, ID 83844 USA
来源
APPLICATIONS OF EVOLUTIONARY COMPUTATION, EVOAPPLICATIONS 2017, PT I | 2017年 / 10199卷
基金
美国国家科学基金会;
关键词
Evolution; Games; Procedural generation;
D O I
10.1007/978-3-319-55849-3_29
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
It is widely assumed that evolution has the potential to make better video games. However, relatively few commercial games have been released that use evolution as a core game mechanic, and of these games only a very small sub-set have shown that evolution occurs as expected and improves game play as intended. Thus, there remains a critical gap between studies showing the clear potential of evolution to improve video games and studies showing that evolution did improve game play in a commercially released game. We have developed Darwin's Demons, a space shooter inspired by old style arcade games, with the added feature of evolving enemies. In August, 2016 Darwin's Demons was Green-lit for sale on Steam, a standard benchmark for commercialization of games. In this paper we present and test four hypotheses that form the basis for the claim that evolution occurs and improves game play in Darwin's Demons. More generally, these hypotheses can be used to confirm that evolution meets the intended design goals for other evolutionary games. Our results support the hypotheses that evolution makes Darwin's Demons get progressively more difficult over the course of a game, and that the fitness function, player choices, and player strategy all affect the evolutionary trajectory during a single game. This suggests that in Darwin's Demons, the enemies adapt to the player's decisions and strategy, making the game interesting and increasing its replayability.
引用
收藏
页码:435 / 451
页数:17
相关论文
共 15 条
  • [11] Schell J., 2014, The Art of Game Design: A book of lenses
  • [12] Schrum J., 2015, CONSTRUCTING GAME AG
  • [13] Schumacher J., 2016, SPECIES
  • [14] Stanley KennethO., 2006, Proceedings of the Twenty-First National Conference on Artificial Intelligence, Meno Park, CA: AAAI Press, P1671
  • [15] Real-time neuroevolution in the NERO video game
    Stanley, KO
    Bryant, BD
    Miikkulainen, R
    [J]. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2005, 9 (06) : 653 - 668