About
Florian Rupp holds roles as a Research Fellow and Lecturer, focusing on interdisciplinary research at the intersection of semantic web technologies, artificial intelligence, and game design. His work spans data modeling with RDF-star, reinforcement learning applications in game balancing, and procedural content generation.
Research Interests:
- Semantic Web technologies (RDF-star, metadata modeling)
- AI-driven game design (reinforcement learning, evolutionary algorithms)
- Procedural content generation for games
- Game economy and level balancing mechanisms
Key contributions include foundational work on RDF-star implementation and innovative applications of machine learning to game design challenges. Recent publications explore player perception in card games, simulation-driven level balancing, and algorithmic approaches to game economy design.
No scientific awards or grants explicitly mentioned in provided materials.
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