Streamlining Integration of Learning and Reasoning

Agentic AI systems often require both adaptive learning and symbolic reasoning. Modular components allow these paradigms to coexist, with separate modules dedicated to neural learning-based perception and others to logic-based planning or knowledge representation.

Agentic AI systems often require both adaptive learning and symbolic reasoning. Modular components allow these paradigms to coexist, with separate modules dedicated to neural learning-based perception and others to logic-based planning or knowledge representation.

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