Abstract
Universal approximation functions are well known and studied in canonical mathematics. Here we theorize the existence of an independent class of universal approximation agents and agent-based models. We draw upon historical references from mathematical analysis, the development of machine learning and the agent-based modeling lines of inquiry.
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