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ai-behavior-trees-utility-ai

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Build a production behavior-tree runtime (Blackboard, action/condition leaves, sequence/selector/parallel composites, decorators) and a Utility AI system (response curves — linear, exponential, sigmoid, quadratic — considerations, and action evaluators), plus hybrid BT-drives-Utility agents. Use when implementing a reusable behavior-tree or utility-based decision system, or tuning enemy/NPC decisions beyond a simple FSM, or when the user mentions behavior tree, blackboard, decorator, selector, sequence, tick status, utility AI, response/scoring curve, or consideration. For choosing between FSM/BT/steering or for pathfinding, use game-ai; for Unreal's BehaviorTree/Blackboard assets, use unreal-behavior-trees.

skills/disciplines/ai-behavior-trees-utility-ai/SKILL.md

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# Behavior Trees & Utility AI

Two complementary ways to structure NPC decision-making, plus how to combine them. A
**behavior tree (BT)** expresses *structured, prioritized, reactive* logic as a tree that is
"ticked" each step. **Utility AI** answers *"how much do I want each option right now?"* by
scoring actions with normalized curves and picking the best. Ship believable agents by using a
BT for structure and Utility AI where graded trade-offs matter.

This skill is the **implementation** companion to `game-ai` (which helps you *choose* between
FSM / BT / steering / pathfinding). Read `game-ai` to pick a model; read this to build the
runtime.

## When to use
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