Lectures

In the last lecture on AI, we move away from simulating individual characters and talk about how we would simulate another player. This is the AI that is necessary for complex strategy games.    Details ›

Sensing is the most expensive part of the sense-think-act cycle. In this lecture we show how to optimize this part of the process, so that we can increase the complexity of our NPC behavior.    Details ›

After several programming lessons, it is time to return to design. With alpha release around the corner, we need to talk about how we do proper level design.    Details ›

We continue our discussion about game AI by talking about pathfinding. This is the process of using AI algorithms to move your game characters about the terrain.    Details ›

When people think about game AI, character behavior is the thing that they usually think of first. How do we control NPCs to move and act without any input?    Details ›