MCogito epistemology and model evaluation

This paper presents a rigorous evaluation of MCogito, a novel metaphysical system that proposes a self-construction of Totality through five nested categories: Quanta, Matter, Life, Thought, and Data. The evaluation is conducted by three Large Language Models (Grok, ChatGPT, and Gemini), tasked with assessing the system's internal coherence, its logical closure from Non-Being to Being, and its explanatory power relative to major historical systems such as Hegelian Idealism, Aristotelianism, and Scientific Materialism. The core of MCogito rests on a unique generative mechanism: a "total self-return" producing a recursive infinity that stabilizes into "code," where the topological distance between the code and its carrier defines the type of being. The comparative analysis highlights MCogito's "multi-categorical" epistemology as a solution to the dead-ends of religious "mono-categorical" (psychic) and philosophical "bi-categorical" (Nature-Human) frameworks. The results indicate a high degree of internal coherence and philological strength. The system is commended for its "typed ladder" ontology that prevents category collapse and its ability to instantiate concepts into concrete objects (e.g., DNA, Turing machines). The evaluation concludes that MCogito offers a deductive unity capable of traversing and closing the Totality without the "concept-first" flaws of Idealism or the closure deficits of Materialism.