Agent architectures define the structural blueprint for intelligent systems, determining how perception, reasoning, and action are organized. They enable autonomous decision-making in robotics, AI assistants, and software agents. Developers, AI researchers, and engineers benefit by building scalable, responsive systems that adapt to complex environments and user needs.
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