About
Simon Lucas is a Professor of Artificial Intelligence at Queen Mary University of London, affiliated with the School of Electronic Engineering and Computer Science. He leads the Game AI Research Group and serves as External Engagement Lead for the Centre for Multimodal AI. His research focuses on AI in games, reinforcement learning, and evolutionary computation, particularly in the context of game design, agent optimization, and procedural content generation. Notable contributions include the N-Tuple Bandit Evolutionary Algorithm and leadership in the General Video Game AI (GVGAI) competitions. His work spans theoretical advancements and practical applications in board games, video games, and strategic gameplay.
- Roles: Professor of AI, Head of Game AI Research Group, External Engagement Lead (Centre for Multimodal AI)
- Research Themes: Game AI, Reinforcement Learning, Evolutionary Algorithms, Procedural Content Generation
- Key Projects: GVGAI Framework, Game Master AI, Deduction Game Analysis
Lucas's work emphasizes AI-driven solutions for complex games, balancing strategic depth with stochastic elements. He actively contributes to academic and industrial collaborations, advancing both theoretical foundations and real-world game applications.
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