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Axiom AO taxonomy v0.1

Twelve independent axes for describing autonomous organizations without reducing them to a single maturity score.

#A multidimensional proposal

The Axiom AO taxonomy v0.1 is an author-developed descriptive framework. It organizes questions about autonomous organizations without claiming consensus or certification. An organization receives a profile across independent axes; the framework does not rank every architecture on one ladder from primitive to advanced.

Independence here means that one choice does not determine another. Centralized ownership can coexist with several autonomous agents. Decentralized governance can coexist with a fixed workflow. Continuous service availability does not establish broad decision authority, and broad authority does not establish reliable performance. A change in ownership may leave the execution topology unchanged.

#Twelve descriptive axes

Each axis records an explicit design choice or an unknown. The examples below are illustrative values, not exhaustive categories. Some organizations require several values on one axis because different activities use different authority and operating arrangements.

AxisIllustrative values
PurposeResearch, operations, commerce
OwnershipSingle owner, collective, mixed
GovernanceAppointed, participatory, contractual
Decision authorityAdvisory, bounded execution, broad delegation
Control topologyCentral, federated, distributed
Agent compositionSingle, multiple, heterogeneous
Execution lifecycleSession, scheduled, event-driven
State continuityExternal ledger, local store, distributed state
Resource regimeFixed allocation, delegated budget, shared pool
EnvironmentDigital, physical, mixed
AdaptationFixed procedures, revisable procedures, structural change
AssuranceHuman review, automated checks, independent evaluation

#Describe first, evaluate separately

A profile should identify its scope and evidence date. A research organization may have broad authority to draft and narrow authority to publish; both values belong in the description. An observed deployment and a proposed design need different labels even when their profiles look identical.

Taxonomy describes arrangements; evaluation tests whether they work. Claims about reliability, cost, safety, or usefulness require experiments and operating evidence. Future revisions may split or combine axes when examples reveal ambiguity. Versioning preserves the meaning of earlier profiles and enables comparisons without silently changing category definitions.

Sources & context

  1. Wooldridge, Jennings & Kinny (2000). The Gaia Methodology for Agent-Oriented Analysis and Design
  2. Hübner, Sichman & Boissier (2002). A Model for the Structural, Functional, and Deontic Specification of Organizations in Multiagent Systems
  3. Ethereum.org. What is a DAO?

Reference edition 0.1 · 2026-10-14. Read the editorial method.