OUR APPROACH
How We Approach Game AI
We begin by naming what an agent can observe. Then we show how that information can lead to a decision and an action. Worked game scenarios give the logic a clear context, while exercises highlight the questions that matter during testing. The material stays focused on design reasoning rather than promising a particular game outcome.
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CONNECT THE PIECES
From One Agent to a Whole World
The collection starts with simple state-based behavior, then moves through behavior trees, navigation, perception, combat, and coordinated agents. Lattice System brings these pieces together as an integration exercise.
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