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This proposal introduces the Dynamic Concept Graph (DCG), a hybrid cognitive architecture that combines neural representation learning, symbolic knowledge structures, multimodal perception, and analogical reasoning to provide persistent, evolving world models for AI, addressing limitations such as inconsistent reasoning and lack of causal understanding in large language models.