Abstract

This preprint extends the Machine Decision-Making Ability (MDMA) framework into a physical setting, asking how motion, gravity, and measurement shape the rates at which decisions are observed. We introduce two complementary extensions: (1) Einstein-MDMA Relativity, which relates observed decision rates to relativistic (kinematic) and gravitational time dilation; and (2) Observable–DMA Collapse, which treats observation as an information-resolving decision event, measured in bits per unit time. The goal is not to claim new physics, but to provide operational, physically grounded lenses that connect decision-making capacity to reference frames and measurement. These extensions help separate a system’s local (proper-time) capability from its frame-dependent appearance, and formalize the informational yield of observation as a decision process.