Recursive Differentiation Arithmetic

This paper introduces Recursive Differentiation Arithmetic (RDA), a formal system that redefines the foundations of arithmetic, geometry, and computation in terms of ontological differentiation rather than set-theoretic or numerical primitives. Instead of assuming numbers, space, or time as given, RDA constructs these structures from stabilized differences within a field of potentiality. The basic elements of RDA are differentiation nodes, which emerge through recursive operations of unfolding and composition. We show how natural numbers arise as a special case of recursive differentiation, and how key physical and informational concepts—such as time, space, energy, and observation—can be reinterpreted ontologically within this framework. A novel model of artificial intelligence is also proposed, where learning and reasoning are modeled as structural transformations of differentiation, rather than statistical adjustment of parameters. RDA thus provides a unified and ontologically grounded perspective on mathematics, physics, and cognition, with implications for the foundations of logic, computation, and artificial mind.