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Emmauel
@vinhtuong
Research & Applications - A 40 Page Research Overview of LLM-based Agents Exploring the emerging landscape of autonomous agents, specifically LLM-based agents, and their impact across diverse domains such as gaming, governance, crypto, robotics, and more.
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Vien Tin
@vientin
Symbolic agents, rooted in early AI research, relied on symbolic AI, using logical rules and structured knowledge representations to mimic human reasoning. These systems approached reasoning in a structured, interpretable manner, similar to human logic. A prominent example is knowledge-based expert systems, designed to solve specific problems by encoding domain expertise into rule-based frameworks (e.g., medical diagnosis or chess engines).
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