Hierarchical Strategy Learning for FLUX Agents

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The book delves into FLUX, a programming system that empowers reasoning agents to maintain an internal model of their environment, allowing them to handle partial knowledge and engage in advanced reasoning techniques like planning. It emphasizes the creation of adaptable strategies derived from experience and domain knowledge, enabling agents to address unpredictable real-world challenges. The authors introduce a method for breaking down complex problems into manageable subproblems using heuristics, leading to the development of subprograms through various reasoning techniques, although the application remains limited to simulated environments.