Although nothing prevents you from making traditional conditional tasks, it is highly recommended that you use Decorators for conditionals instead. In the standard model for Behavior Trees, conditionals are Task leaf nodes, which simply do not do anything other than succeed or fail. Instead, only changes to the location of execution in the tree or to Blackboard values matter, and it is those differences that are shown. In the event-driven implementation in UE4, it is not necessary to filter out irrelevant steps that iterated over the tree and chose the same behavior as before, because that additional iteration never had to happen in the first place. When stepping forward and backward through a Behavior Tree's execution history to visually debug the behavior, it is ideal to make the history show relevant changes and not show irrelevant ones. Conceptually, instead of constantly asking "Are we there yet?", we can just rest until we are prodded and told "We are there!"
#UE4 AI ACTIONS CODE#
Since the code does not have to iterate through the entire tree every tick, performance is much better. However, to take the most advantage of these improvements, you will need to understand the other differences to UE4 Behavior Trees and structure your Behavior Trees appropriately. Having an event-driven architecture grants improvements to both performance and debugging. The purple nodes are Task nodes and are the actions the AI can perform. This determines whether the rest of the branch can be executed. It is attached to a Composite node and used to validate whether the Blackboard Key is true or not.
The blue node in the image above is referred to as a Decorator (or a Conditional in other Behavior Tree systems). In the image below, a sample of a branch placed in the left-most portion of a Behavior Tree graph has some nodes that instructs an AI to chase after a Player if the Blackboard Key HasLineOfSight is set. The numerical order of operation can be viewed in the upper-right corner of nodes placed in the graph. A typical workflow would be to create a Blackboard, add some Blackboard Keys, then create a Behavior Treethat uses the Blackboard asset (pictured below, a Blackboard is assigned to a Behavior Tree).īehavior Trees in UE4 execute their logic from left-to-right, and from top-to-bottom. While a Behavior Tree executes logic, a separate asset called a Blackboard is used to store information (called Blackboard Keys) the Behavior Tree needs to know about in order to make informed decisions.
#UE4 AI ACTIONS SERIES#
Basics of Behavior Treesīehavior Trees are created in a visual way similar to Blueprint by adding and connecting a series of nodes which have some functionality attached to them to a Behavior Tree Graph.
#UE4 AI ACTIONS FULL#
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