Absolute (The self-sufficient logical moral principle)

This white paper introduces a formal framework for defining and applying the concept of the Absolute in moral reasoning. At its core lies a foundational statement: “If accepting the consequences of a contradiction in a moral law implies the impossibility of applying the very reason that justifies such contradiction, then the moral law must be considered absolute only if it is free of contradictions and can be universally applied without compromising the same reason that motivates its adoption.” The Absolute statement can be more precisely reformulated using a biconditional structure, as follows: “A normative proposition ϕ can be considered Absolute if and only if it simultaneously satisfies four conditions: performative coherence, formal consistency, universalizability, and justification stability.” Naturally, retaining the original formulation is not a limitation for an artificial intelligence system, but rather a way to preserve the interpretive depth required to grasp the complexity of justification stability. To operationalize this, we propose a logical operator that evaluates moral propositions through a multi-layered system of cognitive reasoning, derived from human epistemic capabilities. The framework uses formal logic, agent symmetry, and world modeling (phenomenological, paraconsistent, and ideal) to test whether a moral law is universally consistent, executable, and justified. We present the symbolic structure of the operator and define the exact conditions under which a norm can be considered Absolute. Furthermore, we demonstrate how this logic resists relativistic collapse and ensures coherence across different agents and contexts, forming the foundation of a universally valid moral system. This approach aims to bridge philosophy, logic, and artificial intelligence, offering a rigorous tool to evaluate moral statements not only in human deliberation but also in future autonomous decision systems.