官术网_书友最值得收藏!

How Behavior Trees work

The easiest way to think about the role that a Behavior Tree assumes within our AI Agent is to imagine it as a brain. It makes decisions and, as a consequence, acts on them. It is the processor for the artificial intelligence within our agent. Before we get started, if you have any experience with Behavior Trees in other contexts, it is important to understand that they differ in the context of Unreal.

If you want to learn more about how they are different, you can do so by visiting the following link: https://docs.unrealengine.com/en-US/Engine/AI/BehaviorTrees/HowUE4BehaviorTreesDiffer.

It is, however, important to highlight one key difference here: Unreal Behavior Trees are read from the top to the bottom, and nodes will be executed from left to right. In other contexts, you might have found this to the other way around, in which the tree is read from left to right, and the nodes are executed from top to bottom.

If this is the first time you have encountered a Behavior Tree, then this will make sense when you read the next section.

主站蜘蛛池模板: 曲沃县| 新泰市| 南华县| 富平县| 瑞昌市| 通化县| 洛浦县| 从化市| 凉山| 分宜县| 新津县| 板桥市| 白山市| 渭南市| 通辽市| 竹溪县| 晋宁县| 泽普县| 和政县| 大港区| 虹口区| 定远县| 长岛县| 遂川县| 南开区| 淮南市| 沭阳县| 海兴县| 白河县| 青神县| 马山县| 来凤县| 黄山市| 中西区| 化隆| 冕宁县| 龙海市| 酉阳| 乾安县| 台安县| 曲水县|