This paper explores how AI can be applied across different stages of game development, from playing games to designing and testing them, and how to reuse capabilities across these stages. Practitioners might care about how to apply AI to improve game development efficiency and effectiveness.
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This paper proposes a new type of AI model that can create new knowledge and solutions on its own, rather than just solving problems that are already defined. Practitioners might care because this could enable AI systems to learn and improve in a more human-like way.