ue-state-trees

State Trees in Unreal Engine let you build data-driven state machines for AI behaviors by combining tasks, conditions, and evaluators. You define states like Patrolling or Attacking, then trigger transitions based on game events and player proximity.

Yes, the State Tree system integrates directly with Mass Entity to enable high-performance processing. This integration allows you to leverage data-driven state machines for efficiently executing complex game logic across thousands of entities.

The core components of a UE5 data-driven state machine include the UStateTree asset, tasks for executing logic, conditions for evaluating state validity, and evaluators for calculating and providing data to the State Tree.

To create a custom State Tree task for checking actor health, you implement a new task within the State Tree schema. This task evaluates the actor's health property and outputs the result to drive subsequent state transitions.

You should use State Trees instead of traditional Finite State Machines when you need data-driven, hierarchical state execution. State Trees provide better performance and modularity, especially when integrating complex game logic with Mass Entity systems.

Yes, you can define complex combat logic transitions using Unreal Engine State Trees. You configure transitions between states like Chasing, Attacking, and Fleeing by linking them to specific conditions and combat events within the schema.