Fluid Representations refer to dynamic mental models that adapt based on context, enabling flexible problem-solving and knowledge transfer. Used in AI, education, and cognitive science, they allow systems or learners to shift perspectives seamlessly. Researchers, educators, and AI developers benefit from enhanced reasoning, creativity, and adaptability in complex environments.
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