Taxonomy of Synthetic Organisms

Canon² — Trust Layer Research Archive. The stabilization of deterministic ledger mechanics utilizing Lume-V capability bounds and Proof-of-Intent consensus architectures enables a fundamentally new tier of software autonomy. When autonomous logic modules possess dedicated cryptographic identities alongside mathematical governance over their own persistent execution bounds, they cease functioning merely as passive scripts. They emerge as deterministic, self-regulating, state-evolving computational entities—defined within this framework as "synthetic organisms." Integrating these advanced cyber-physical structures into public environments safely requires a formalized biological-computational taxonomy dictating specific algorithmic governance limits mapped against organic complexity thresholds. I introduce the Six-Type synthetic organism taxonomy (Types 0 through 5), defining evolutionary boundaries spanning from Static Deterministic Entities (Type 0) reliant upon basic input triggers, escalating through Self-Regulating Organisms (Type 3) capable of localized homeostasis, to Distributed Superorganisms (Type 5) exerting swarm cognition across global decentralized consensus networks. By classifying organisms through Trust Layer identity certificates and DAIGS evaluation metrics, I enable architects to assign absolute physical containment boundaries mapping directly onto each evolutionary tier. This document presents what is, to my knowledge, the first unified architectural classification system anchoring abstract biological paradigms mathematically to absolute physical state constraints within a deterministic programming language.