There is also a performance consideration to be made, but I currently don’t have comparative numbers to claim either to be faster. It’s a decent number of assets and will continue to grow. The assets below are from a folder related to a still rather simple stealth game AI.

Most is of the logic is happening inside the AI Controller class after all. Utility AI still generated some assets such as Tasks, but the overall amount is much lower. I find it reduces my productivity when jumping between asset files a lot. This can blow up your asset count and jumping between assets cost mental effort and time. Behavior Tree example from AI in my Unreal Engine course.įurthermore, custom Decorators, Services, Tasks are all individual assets. We also found it can be difficult to get back into a tree you haven’t touched in a while. It requires a certain way of thinking to create effective trees and allow for easy extension which can be hard to get into. Every new task could influence the other parts of the tree without this clearly showing up until you ran the tree through some actual playing. Why not Unreal Engine’s Behavior Tree?Īs mentioned in the intro we had some issues with using Behavior Trees once the number of available tasks per Agent increased. While both may have a base weight or near 1.0 as this agent may be starving of hunger, fleeing the grenade is still the more immediate threat. Tasks can be given priority weights so that an agent is more likely to flee from an incoming grenade rather than hunt for food.

You can keep going deeper and deeper to endlessly fine-tune your score evaluation. Distance to target, hitpoints of the enemy, amount of enemies in the area, your own hitpoints, which weapon the target has, etc. only check if we have something to attack, yes is 1.0, no is 0.0) or complex with many different variables to evaluate. You pick the highest scored and run that task. Seek Enemy, Attack Enemy, Flee, Jump, etc.) and on an interval you score each tasks between 0.0 and 1.0 where higher is better and 0.0 means the Task didn’t pass and shouldn’t be considered. You give an AI agent a set of possible Tasks to execute (eg. The core of the system is elegantly simple. Building a Better Centaur: AI at Massive Scale.

Improving AI Decision Modeling Through Utility Theory.He calls it ‘Infinite Axis Utility System’ and I highly recommend watching some of his talks about the subject. The concept of Utility AI has been around around for years, and the great Dave Mark has been talking about it on platforms such as Game Developers Conference several times. Implementation Basics in Unreal Engine 4.

Unreal engine 4 free trees