Description
Hierarchical Task Network Planning AI
Hierarchical Task Network Planning AI
Create AI that can plan ahead using this flexible, fully-featured alternative to Behavior Trees
The HTN Planning plugin lets you create AI that can plan multiple steps ahead by predicting the consequences of its actions.
Hierarchical Task Network (HTN) planning is a powerful artificial intelligence technique that allows for the efficient and effective planning of complex tasks in video games and other applications. With the rising popularity of virtual and augmented reality experiences, game developers are constantly seeking ways to enhance the realism and immersion in their games. This is where the HTN planning AI unreal engine asset comes into play. This asset uses a hierarchical structure to break down complex tasks into smaller, more manageable subtasks, allowing for more efficient and flexible planning. This is especially useful in game development, where there are often many different tasks that need to be completed simultaneously, such as character movement, enemy behavior, and object interactions. The HTN planning AI unreal engine asset allows developers to easily define and prioritize these tasks, resulting in more realistic and dynamic gameplay. Additionally, the hierarchical structure of HTN planning allows for easy modification and adaptation of tasks, making it an ideal choice for games with constantly changing environments or player choices. With the help of this asset, game developers can create more immersive and engaging experiences for players, making their games stand out in a competitive market. Furthermore, the use of HTN planning AI can also improve the overall performance and efficiency of games, as it allows for better resource management and decision-making. In conclusion, the HTN planning AI unreal engine asset is a valuable tool for game developers, providing them with the means to create more realistic, dynamic, and efficient gameplay experiences.
Version 1.18.2
Features:
- Node-based HTN graph editor
- Seamlessly use Blackboard data as worldstate
- Make custom Tasks, Decorators, and Services in both C++ and Blueprints
- Create composable behaviors using subnetworks
- Make subplans within plans to freely mix planning and on-the-fly decision-making
- Cost-based or priority-based planning
- Parallel planning
- Any-order planning
- Integration with the Visual Logger, including visualizing the current plan
- Integration with the Environment Query System for complex movement planning and decision-making
- Realtime debugging features
- Extend the HTN Component with HTN Extensions
- Full source code access
Hierarchical Task Network Planning AI