The concept of fractal-inspired AI agents offers a novel framework for designing adaptive, scalable, and interconnected systems that mimic the efficiency and adaptability of fractal antennas. By leveraging self-similarity, dynamic adaptability, and multiscale functionality, such agents could address limitations in current AI architectures. This paper explores the theoretical foundation, potential applications, …
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