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Environmentally Conscious AI: Improving Spatial Analysis and Reasoning
As game worlds become more complex, game characters need to become more "aware" of their surroundings. These days, it is no longer sufficiently believable for an agent to merely walk through these environments. Believable movement demands so much more. Characters may now need to jump, climb, duck or vault in order to navigate through their world. Additionally, simply "being" in a space brings in issues with cover selection, visibility, positioning and other forms of spatial awareness. In the past, this often meant time-consuming manual markup of levels or highly constrained level designs, and it certainly didn't support dynamic environments! This session will show two different architectures being developed - one by Havok and one by MASA - to help automate those spatial issues in a way that is independent of level design.
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