unreal-behavior-trees
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---
name: unreal-behavior-trees
description: >
license: Apache-2.0
---
# Unreal Behavior Trees
Author NPC decision-making in UE5 with Behavior Trees driven by a Blackboard: structure the
tree with composites, gate branches with decorators, keep state current with services, and run
it from an AIController. Targets **UE 5.8**.
## When to use
- Use when building enemy/NPC AI: creating a `BT_`/`BB_` asset pair, structuring
Selector/Sequence branches, adding decorators (conditions) and services (periodic updates),
writing custom `BTTask`/`BTService` nodes, or wiring an AIController to run the tree.
- Use when the project has Behavior Tree (`BT_`) and Blackboard (`BB_`) assets and an
`AAIController`.
**When *not* to use:** the *concept* of AI (FSM vs BT vs steering, cross-engine) →
`game-ai`. Pure navigation/pathing math is engine navmesh (BT's `MoveTo` uses it). Simple
one-off logic may be cheaper as a small state machine than a full tree.
## Core workflow
1. **Create the pair:** a Blackboard (`BB_`) holds typed keys (the AI's memory: `TargetActor`,
`LastKnownLocation`, `bIsInvestigating`); a Behavior Tree (`BT_`) references that Blackboard.
2. **Possess and run.** An `AAIController` possesses the pawn and calls `RunBehaviorTree(BT)`,
which also initializes the referenced Blackboard.
3. **Structure with composites.** **Selector** runs children left→right until one *succeeds*
(priority/fallback: "attack, else chase, else patrol"). **Sequence** runs children until one
*fails* (do-all: "move to cover → reload → peek"). **Simple Parallel** runs one main task
alongside a secondary.
4. **Gate branches with Decorators** that read Blackboard keys (e.g. "Has Target?" guards the
combat branch). Set **Observer Aborts** so the tree re-evaluates when the key changes.
5. **Keep the Blackboard current with Services** attached to a branch — they tick periodically
(e.g. update `TargetActor` via a sight check) only while that branch is active.
6. **Do work in Tasks**, which return `Succeeded`, `Failed`, or `InProgress` (latent tasks like
`MoveTo` finish later).
7. **Verify** with the Behavior Tree debugger during PIE — it highlights the running node and
shows live Blackboard values, so you see exactly which branch executes.
## Patterns
### 1. AIController that runs the tree (C++)
```cpp
void AEnemyAIController::OnPossess(APawn* InPawn)
{
Super::OnPossess(InPawn);
if (BehaviorTree) // UPROPERTY(EditAnywhere) TObjectPtr<UBehaviorTree>
RunBehaviorTree(BehaviorTree); // initializes & uses the Blackboard the BT references
}
```
### 2. A priority tree (node structure)
```text
ROOT
└── Selector (try combat, else investigate, else patrol)
├── Sequence [Decorator: Blackboard 'TargetActor' Is Set, Observer Aborts: Both]
│ ├── Task: MoveTo (TargetActor) // latent: returns InProgress then Succeeded
│ └── Task: Attack
├── Sequence [Decorator: 'LastKnownLocation' Is Set]
│ ├── Task: MoveTo (LastKnownLocation)
│ └── Task: Wait (3s) + clear key
└── Task: Patrol (BTTask_FindPatrolPoint -> MoveTo)
```
`Observer Aborts: Both` makes the combat branch interrupt patrol the instant `TargetActor` is
set, and bail out when it's cleared — this is what makes the AI feel reactive.
### 3. Updating the Blackboard from code (e.g. on seeing the player)
```cpp
void AEnemyAIController::SetTarget(AActor* Target)
{
if (UBlackboardComponent* BB = GetBlackboardComponent())
BB->SetValueAsObject(TEXT("TargetActor"), Target); // key name must match the BB asset
}
// Clear with BB->ClearValue(TEXT("TargetActor")); to drop back to a lower-priority branch.
```
## Pitfalls
- **AI never starts** — the pawn isn't possessed (set the Pawn's *Auto Possess AI* to "Placed
in World or Spawned" and assign the AIController), or `RunBehaviorTree` was never called.
- **`MoveTo` instantly fails** — no NavMesh in the level (add a Nav Mesh Bounds Volume), or the
target is off the navmesh.
- **Branch doesn't react to changes** — the gating Decorator's **Observer Aborts** is set to
None; set it to Self/Lower Priority/Both so the tree re-evaluates when the key changes.
- **A task hangs the tree** — a custom task returned `InProgress` and never calls
`FinishLatentTask`. Always complete latent tasks.
- **Blackboard key typos** — `SetValueAsObject("Taget", ...)` silently does nothing; match the
key name and type exactly, or use a cached `FBlackboardKeySelector`.
- **Sequence vs Selector confusion** — Sequence = AND (stops on first failure); Selector = OR
(stops on first success). Swapping them inverts the behaviour.
## References
- For a **custom C++ `UBTTaskNode`** (instant and latent `ExecuteTask` returning `EBTNodeResult`,
with a `FBlackboardKeySelector`), read `references/custom-bttask.md`.
- Primary docs: "Behavior Trees in Unreal Engine"
(`https://dev.epicgames.com/documentation/en-us/unreal-engine/behavior-trees-in-unreal-engine`).
## Related skills
- `game-ai` — engine-agnostic AI design (FSM, BT, steering, pathfinding choices).
- `unreal-cpp-gameplay` — the AIController and pawn classes in C++.
- `fps-shooter` / `tower-defense` — genres that compose enemy AI.More General & Other skills
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