Agent wars refer to competitive interactions between autonomous AI agents, often in multi-agent systems or simulations. They are used to test strategies, optimize decision-making, and model real-world conflicts like market competition or cybersecurity. Developers, researchers, and businesses benefit by improving AI robustness, efficiency, and adaptability in dynamic environments.
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