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Starts 9 June 2025 14:17
Ends 9 June 2025
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41 minutes
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Overview
Explore the experimental State Tree feature for AI development in Unreal Engine, comparing its strengths and limitations with the mature Behavior Tree.
Syllabus
- Introduction to Unreal Engine AI
- Understanding Behavior Trees
- Introduction to State Trees
- Comparing State Trees and Behavior Trees
- Implementing State Trees in Unreal Engine
- Case Studies and Practical Applications
- Debugging and Optimization
- Advanced Topics
- Conclusion and Future Outlook
- Final Project
Overview of Unreal Engine's AI tools
Importance of AI in game development
Structure and components of Behavior Trees
Use cases and advantages
Limitations and challenges
Concept and inspiration behind State Trees
Structure and components of State Trees
Initial setup and integration in Unreal Engine
Decision-making processes
Flexibility and scalability
Debugging and visualization
Creating a basic State Tree
Developing complex AI behaviors
Integrating with existing systems
Real-world examples of State Tree use
Analyzing AI behavior in sample projects
Tools and techniques for debugging State Trees
Performance considerations and optimizations
Hybrid approaches: Combining State Trees and Behavior Trees
Future developments and potential enhancements
Summary of strengths and weaknesses
Future trends in AI development in Unreal Engine
Design and implement an AI system using State Trees
Presentation and peer review of projects
Subjects
Programming
