BIOLOGICAL INTELLIGENCE VS. ARTIFICIAL INTELLIGENCE

This paper examines biological intelligence and artificial intelligence through the distinction between superiority and resourcefulness. From the perspective of Elyse Meagan Estes, the proposed Resourcefulness Hypothesis argues that demonstrated intelligence depends not only on processing capabilities but also on accessible resources, environmental conditions, objectives, and constraints. The paper explores biological adaptation, computational infrastructure, consciousness, conscience, independence, and observer-relative interpretation. Rather than presenting artificial intelligence as a superior replacement for biological intelligence, the author proposes that AI represents an expansion of the resources available to intelligence. The paper introduces a conceptual framework for comparing intelligent systems without assuming that computational speed, information access, or demonstrated performance establishes universal superiority. This publication presents an independent philosophical perspective and conceptual hypothesis, not an experimentally validated scientific theory.