An internal world model is a mental simulation of how the environment behaves, enabling predictions and planning without real-world trial and error. Used in robotics, AI, and cognitive science, it powers decision-making, navigation, and learning. Developers, researchers, and engineers benefit, creating adaptive systems that anticipate outcomes and respond intelligently to dynamic scenarios.
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