Current AI technologies still face limitations in reasoning, perception, and decision-making in unpredictable real-world settings. These constraints challenge agentic collaboration reliability. Opportunities lie in advancing AI robustness, integrating symbolic and sub-symbolic methods, and improving sensory and contextual awareness of agents.
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