EvolvingBehavior: Towards Co-Creative Evolution of Behavior Trees for Game NPCs
September 01, 2022 ยท Declared Dead ยท ๐ International Conference on Foundations of Digital Games
"No code URL or promise found in abstract"
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Authors
Nathan Partlan, Luis Soto, Jim Howe, Sarthak Shrivastava, Magy Seif El-Nasr, Stacy Marsella
arXiv ID
2209.01020
Category
cs.NE: Neural & Evolutionary
Cross-listed
cs.AI,
cs.HC
Citations
10
Venue
International Conference on Foundations of Digital Games
Last Checked
4 months ago
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.
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