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EvolvingBehavior: Towards Co-Creative Evolution of Behavior Trees for Game NPCs

2022-09-01 17:44:11
Nathan Partlan, Luis Soto, Jim Howe, Sarthak Shrivastava, Magy Seif El-Nasr, Stacy Marsella
arXiv_AI
   
Abstract

To assist game developers in crafting game NPCs, we present EvolvingBehavior, a novel tool for genetic programming to evolve behavior trees in Unreal Engine 4. In an initial evaluation, we compare evolved behavior to hand-crafted trees designed by our researchers, and to randomly-grown trees, in a 3D survival game. We find that EvolvingBehavior is capable of producing behavior approaching the designer's goals in this context. Finally, we discuss implications and future avenues of exploration for co-creative game AI design tools, as well as challenges and difficulties in behavior tree evolution.

Abstract (translated)

URL

https://arxiv.org/abs/2209.01020

PDF

https://arxiv.org/pdf/2209.01020.pdf

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