Anyone have experience with Utility AI using Influence Maps and LOS? I have a use case where designers want AI to pick the best spot to attack a target from. I could render a basic LOS mask from the POV of the target and then use that as a mask, but expensive for multi agents...
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Describing it in tweets is hard to nail down. Going to attempt to mock up an example to show what I mean. Will be a moment.
This is the idea. Red are blockers, blue are agents of a given team. Each team gets 1 map. Redraw the influence map every frame (or nth frame). Let's AI maximize (big AoE) or minimize (seek cover) LOS. Actual targeting selection would be separate operation.pic.twitter.com/OIHIJTBx4q
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I realize this isn't quite what your designers asked, but I think it can yield useful information for behaviors with reasonable cost trade-offs.
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I was originally thinking of something similar but hadnt thought of combining multiple agents in a single map. Then my designers said they needed LOS to also be blocked by the landscape (ie hills)... Time to rethink the approach :)
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