Framework demonstrates traceable reasoning in AI, suggesting improved knowledge handling and decision-making.
We introduce the concept of ontological gravity — the property by which structured knowledge exerts a measurable pull on related concepts. We describe KCP, a memory architecture with seven ontological registers carrying mass and gravitational influence. We propose a taxonomic framework (L0-L5) spanning two ontological planes (Profession and Life) within a bounded behavioral space, and an action formula that composes static layers into a causal loop with full traceability. A meta-cognitive chain allows agents to evaluate confidence before acting. Validated with 206 tests, 160+ empirical cases, and 793 cryptographically timestamped commits.
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GABRIEL ALCARAZ ORENES (2026) studied this question.
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