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Neurosymbolic AI is a framework that combines the core strengths of symbolic AI, which represents explicit enterprise structure, relationships, rules, constraints, and decision logic, with neural AI, which powers capabilities such as language understanding, pattern recognition, and synthesis. This framework builds upon the domain expertise and rules of symbolic AI and the capability of neural AI to find and learn …
onMount runs once when the component becomes visible. onUnmount runs once when it leaves. onError catches anything either of them throws and receives { source, error }, where source is “mount”, “unmount”, “beforeDispose”, or “action”. The agent does not write a return value, does not pick a dependency array, does not name a cleanup function. There is nothing to forget. …