Abstraction and Refinement in Games with Dynamic Weighted Terrain

Nathan R. Sturtevant; Devon Sigurdson; Bjorn Taylor; Tim Gibson

doi:10.1609/aaai.v34i09.7124

Abstraction and Refinement in Games with Dynamic Weighted Terrain

Authors

Nathan R. Sturtevant University of Alberta
Devon Sigurdson Improbable Canada Inc
Bjorn Taylor Improbable Canada Inc
Tim Gibson Improbable Canada Inc

DOI:

https://doi.org/10.1609/aaai.v34i09.7124

Abstract

This abstract looks at one version of the pathfinding problem in games and discusses how it motived our recent work at the AIIDE 2019 conference.

AAAI-20, IAAI-20, EAAI-20 Proceedings Cover

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Published

2020-04-03

How to Cite

Sturtevant, N. R., Sigurdson, D., Taylor, B., & Gibson, T. (2020). Abstraction and Refinement in Games with Dynamic Weighted Terrain. Proceedings of the AAAI Conference on Artificial Intelligence, 34(09), 13697-13699. https://doi.org/10.1609/aaai.v34i09.7124