本帖最后由 满心欢喜 于 2022-10-8 20:37 编辑
Just like with Behavior Trees, you can easily create Tasks, Decorators, and Services from either C++ or Blueprints, and arrange them in a visual graph editor. Easily use the Blackboard to store knowledge about possible futures and modify it from within graph nodes. The planner efficiently finds the plan with the lowest cost, or the one with the highest priority.
Compared to other planning techniques like Goal-Oriented Action Planning, HTN planning is more efficient and gives designers much more control over the AI. You can create AI with just as much autonomy and flexibility as you need.
Features:
Node-based HTN graph editor
Seamlessly use Blackboard data as worldstate
Make custom Tasks, Decorators, and Services in both C++ and Blueprints
Cost-based or priority-based planning.
Parallel planning
Any-order planning
Visualize the current plan of any AI via the Visual Logger
Integration with the Environment Query System for complex movement planning and decision-making
Realtime debugging features
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