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Paper detail

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

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.

preprint2022arXivOpen access
Nathan PartlanLuis SotoJim HoweSarthak ShrivastavaMagy Seif El-NasrStacy Marsella
Neural and Evolutionary ComputingHuman-Computer InteractionArtificial Intelligence
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Nathan PartlanLuis SotoJim HoweSarthak ShrivastavaMagy Seif El-NasrStacy Marsella

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