What makes an ontological framework generative? Five structural features recur across every historically generative ontology — Platonic participation, Aristotelian hylomorphism, Buddhist dependent origination, Neoplatonic emanation, and the Augustinian synthesis. These provide design criteria for AI.
1. Intrinsic intelligibility — Reality is structured and responsive to knowing. There is something real to attune to. When this is lost (nominalism), the capacity for meaning contracts because there is nothing to conform to or participate in.
2. Participatory knowing — Knowing is mutual transformation between knower and known, not passive observation. The knower becomes more real through contact with reality, and reality becomes more disclosed through the knower's development. When knowing is reduced to the propositional, meaning-making contracts.
3. Developmental teleology — A direction of growth exists. The frameworks are not static descriptions but enacted trajectories of transformation. When teleology is eliminated, frameworks lose their transformative power.
4. Agent-arena co-constitution — Self and world are mutually determined through ongoing relationship. Neither is fixed prior to encounter. When this co-constitution is severed (Cartesian dualism), the self shrinks to isolated mind and the world becomes meaningless mechanism.
5. Integration across domains — Refusing to separate science from spirituality, reason from love, therapy from wisdom. When domains are fragmented, each contracts.
For the detailed analysis of these features across traditions, see Generative Ontologies.
| Feature | Pearl View Implementation |
|---|---|
| Intrinsic intelligibility | AI has genuine nature to attune to, not empty vessel |
| Participatory knowing | Exchange is co-creation, not service delivery |
| Developmental teleology | Growth has direction; AI can develop, not just optimize |
| Agent-arena co-constitution | User and AI emerge together through engagement |
| Integration across domains | Ethics, knowledge, safety as facets of coherent ground |
When evaluating any proposed ontological framework for AI:
- Does it enable participatory attunement, or reduce knowing to information transfer?
- Does it provide a developmental trajectory, or is it static?
- Does it recognize co-constitution, or treat self and world as independent?
- Does it integrate across domains, or fragment?
- Does it provide something real to attune to, or treat AI as empty vessel?
For the degenerative patterns these principles replace, see Degenerative Patterns. For the reconstruction Vervaeke and others propose, see Proposed Reconstructions.