PLANNING THE PAPER

We are going to lay out 3 interlocking structures:

• Thematic structure (what are we talking about)
• Pragmatic structure (why are we talking about this and that, and in this order)
• Logical and emotional structure (what is the argument, how do we deploy it and what emotions do we want to instill to the reader.)

We are going to overlay these structures together below. For every bullet point, we are going to separate the structural components using the “|” character, composed as: thematic element | pragmatic element | logical and/or emotional element.

Text in square brackets “[...]” are more granular instructions for you, the AI agent that works on the text.

The final text will be built from this 3 layer structure. The thematic structure will appear more explicitly in the text, as sections or paragraphs. The pragmatic and logical/emotional structures will remain mostly implicit, shaping order, emphasis, transitions, and tone.

Thesis to keep visible while writing:

• Existing economic information systems make nature visible mainly as owned resource, natural capital, ecosystem service, externality, or legal person. These categories are insufficient for complex ecological systems. We propose Source / Source-NDO as a new economic-information primitive: a generative, non-ownable, partially unknowable system whose boundary events can be recorded, whose condition can be sensed, and whose access rules can adapt through stewardship governance. | give the writer a stable compass for the whole paper | make the paper feel like a focused contribution rather than a broad critique of economics

The structures:

• Introduction: externalities as economic information failure | open with the concrete problem shared by environmental practitioners, economists, policy actors, and activists | create urgency without starting from ideology

  • Present ecological degradation linked to human economic activity: extraction, pollution, biodiversity loss, water stress, soil depletion, climate impacts, and ecosystem fragmentation. Keep this empirical, measurable, and scientifically grounded. [Literature anchors: Millennium Ecosystem Assessment; IPBES global and values assessments; SEEA EA.] | establish that the problem exists before proposing an ontology | build trust and realism
  • Explain that an externality is not only a moral or pricing problem; it is also an information-system problem, because the effects of economic events often remain outside the economic record. [Literature anchors: Pigou on divergence between private and social net product; Coase on social cost, rights, and transaction costs.] | shift the reader from "environmental problem" to "economic information problem" | prepare the reader to accept an infrastructural/ontological proposal
  • State the paper's practical goal: make ecological effects visible inside economic information systems so economic agents can steward natural sources/resources rather than merely consume resources. | clarify what the paper is trying to accomplish | orient the reader toward constructive action

• Why existing economic categories fail | review familiar approaches without getting trapped in ideological debate | show that the proposed primitive responds to a gap shared across multiple paradigms

  • Market accounting and conventional economics: nature appears as input, asset, cost, externality, or natural capital. [Literature anchors: Pigou; Coase; Costanza et al.; Daly; Georgescu-Roegen.] | summarize the dominant economic framing | show why ecological effects are often displaced outside transactions
  • State planning, regulation, and policy frameworks: nature appears as managed stock, protected zone, compliance object, or public asset. [Literature anchors: Scott's critique of state legibility and high modernism; SEEA as constructive statistical counterpoint.] | acknowledge the state/regulatory path without making the paper a capitalism/socialism polemic | show that visibility and stewardship problems persist even when markets are constrained
  • Ecosystem services and natural capital accounting, including SEEA: nature becomes legible through extent, condition, services, degradation, enhancement, and sometimes monetary valuation. [Literature anchors: Daily; Costanza et al.; TEEB; SEEA EA; ARIES for SEEA.] | connect to the strongest existing environmental accounting work | show respect for existing frameworks while preparing the distinction between description and governance
  • Rights of Nature and ecological personhood: nature becomes legally represented as a rights-bearing person or subject. [Literature anchors: Ecuador Constitution Articles 71-74; Te Awa Tupua Act 2017; Atrato River case if added later.] | acknowledge an important activist/legal tradition | prepare the later argument that personification protects nature politically but creates ontological and governance problems
  • Commons governance and Ostrom's resource systems: communities can steward shared resource systems through monitoring, sanctions, nested institutions, and adaptive rules. [Literature anchors: Ostrom 1990, 2005, 2009; Folke et al. 2005.] | introduce the strongest governance precedent | show that the paper builds on commons governance rather than replacing it
  • REA and ValueFlows: economic events, agents, commitments, claims, and resources can be modeled with much more precision than conventional accounting allows. [Literature anchors: McCarthy 1982; Geerts and McCarthy; ValueFlows specification.] | introduce the information-system tradition that makes implementation plausible | prepare the reader for the worked modeling comparison
  • Synthesis of the insufficiency: these approaches see parts of the problem, but none gives economic information systems a first-class object for a generative, unowned, complex ecological system that can accumulate event history and condition future access. | define the gap | create the opening for Source

• The ontological gap: Agent, Resource, Source | introduce the conceptual core early | give the reader the simplest possible vocabulary for the rest of the paper

  • Define Agent: an entity that can act, intend, commit, deliberate, bear responsibility, and participate in governance. Include individuals, organizations, networks, and possibly delegated artificial agents. | establish what agency means | prevent the later confusion between ecological causality and intention
  • Define Resource: an appropriable or inventoriable output used in economic processes, such as water, timber, fish, energy, data, or a tool. | retain the usefulness of existing economic primitives | show that the paper is not rejecting resource accounting where it is appropriate
  • Define Source: a generative system that yields resources, absorbs effects, conditions future possibilities, regenerates or degrades, and cannot honestly be reduced to either an owned resource or an intentional agent. | introduce the new primitive | make the central conceptual move clear
  • Explain why nature-as-resource fails: the river, watershed, forest, wetland, or atmosphere is reduced to inventory, stock, asset, or service flow, which hides generative complexity and tends toward extraction. | clarify one category error | create dissatisfaction with reduction to resource
  • Explain why nature-as-agent also fails: ecological systems do not form intentions, make commitments, deliberate, or bear responsibility; human representatives inevitably speak for them. Use the corporation-as-person analogy carefully and concisely. | clarify the second category error | protect the paper from anthropomorphic confusion while respecting Rights of Nature motivations
  • Present Source as the third category: neither resource nor person, neither property nor agent, but a generative ecological/economic primitive around which stewardship can be organized. | stabilize the new ontology | give the reader a memorable conceptual anchor

• Nature and economy as complex systems: the black-box principle | introduce the epistemology required by the proposal | move the reader from control/planning to stewardship/adaptation

  • Explain that watersheds, forests, rivers, fisheries, soils, and atmospheres are complex systems: partially knowable, nonlinear, multi-scalar, path-dependent, and capable of regime shifts. [Literature anchors: Holling 1973; Gunderson and Holling 2002; Folke et al. 2005.] | establish the complexity requirement | show why complete representation is impossible
  • Explain that the economy is also a complex adaptive system, not a clockwork machine that can be fully planned or optimized. | align ecological complexity with economic complexity | prepare the case for iterative governance loops
  • Introduce the black-box principle: we do not model the full interior of the ecological system; we record boundary events, sense condition, and adapt governance. [Literature anchors: Ashby's black box and requisite variety; Scott's critique of schematic simplification.] | define the epistemic stance | replace false certainty with disciplined humility
  • Connect this to Cynefin / probe-sense-respond, resilience theory, Panarchy, Morin, and adaptive governance. [Literature anchors: Snowden and Boone 2007; Holling 1973; Gunderson and Holling 2002; Folke et al. 2005. ToDo: select the most appropriate references; avoid overloading the main text with theory.] | ground the complexity argument in literature | make the proposal academically credible

• Existing frameworks and what they miss | position the contribution in the literature | show continuity with prior work while making the novelty precise

  • Ostrom and commons governance distinguish resource systems from resource units, which strongly resembles Source vs Resource. [Literature anchors: Ostrom 1990; Ostrom 2009.] | show that the idea has a commons-governance lineage | reassure readers that the proposal is not invented in isolation
  • Social-Ecological Systems theory distinguishes resource systems, resource units, governance systems, and actors, but remains mostly analytical rather than executable. [Literature anchors: Ostrom 2009; McGinnis and Ostrom if added later.] | connect to SES literature | show the movement from description to implementation
  • SEEA and ecosystem accounting make ecological condition and services visible, but do not by themselves condition future access through object-attached governance. [Literature anchors: SEEA EA; ARIES for SEEA.] | identify the "map vs cybernetic control system" distinction | make the implementation gap clear
  • Ecological economics and natural capital recognize ecological limits and services, but often remain attached to stocks, flows, valuation, and capital metaphors. [Literature anchors: Georgescu-Roegen; Daly; Daily; Costanza et al.; TEEB; IPBES Values Assessment.] | acknowledge ecological economics as ally and limit case | prepare the ecological value vector as non-reductive alternative
  • REA / ValueFlows model economic events well, but lack a first-class place for unowned generative sources that can be both flow origin and flow sink. [Literature anchors: McCarthy; Geerts and McCarthy; ValueFlows spec.] | identify the precise ontology gap in the chosen technical substrate | prepare the modeling demonstration

• Worked case: modeling a river/watershed | turn the abstract argument into a concrete demonstration | help non-technical readers see the problem and solution in one memorable example

  • Present the river/watershed case with multiple economic agents: agriculture, city utility, mining, hydro dam, fishing, tourism, forestry, and regeneration work. | make the problem empirical and relational | invite readers from policy/environment/economics into a shared case
  • Model A: use ValueFlows 1.0 as-is. Show what it does well: economic events and derived resources such as gallons of water, fish, timber, and services. | avoid caricaturing ValueFlows | build fairness and credibility
  • Show where Model A breaks: false ownership claim, resource-from-nowhere through raise, resource/agent contradiction for pollution, missing source hierarchy, missing source coupling, missing black-box construct, missing governance reflexivity. | expose the need for the new primitive | create a clear "before" picture
  • Model B: augment ValueFlows with vf:Source. Show extraction, pollution, non-consumptive use, regeneration, and cross-source coupling as first-class economic events. | demonstrate the proposed primitive | create the "after" picture
  • Use Occam's razor after the demonstration: adding one primitive removes multiple fictions and inexpressible residues. | justify the ontology surgically | convince the reader that this is a minimal, not bloated, extension

• From visibility to stewardship: the governance loop | show why recording externalities is not enough | move from information to agency and institutional change

  • Explain the loop: events -> ledger -> ecological interpretation -> policy/rules -> access affordances -> future events. | present the mechanism | show how the model becomes operational
  • Show how extraction becomes visible: water abstraction, fish harvest, timber removal, biomass removal, soil removal. | make the ledger concrete | help readers imagine implementation
  • Show how pollution/loading becomes visible: effluent, nutrient runoff, heavy metals, carbon emissions, sedimentation, heat, noise, or other relevant stressors. | make externalities first-class | create the core payoff of the paper
  • Show how regeneration becomes visible: reforestation, riparian restoration, wetland repair, remediation, habitat restoration, pollution reduction, biodiversity enhancement. | avoid a purely punitive environmental ledger | create a regenerative and hopeful emotional direction
  • Show how governance can condition future access: quotas, buffers, role requirements, monitoring requirements, restoration obligations, temporary restrictions, or graduated sanctions. | translate visibility into stewardship | make the model useful for policy and activism
  • Explain why the model extends Ostrom into complex systems: rules are not designed once from complete knowledge; they adapt as the source ledger grows. | connect commons governance to complexity epistemology | make the originality claim stronger

• Ecological value without reducing nature to price | articulate a value theory compatible with OVN, ecological economics, and complexity | prevent the model from being mistaken for another monetization framework

  • Explain that in OVN terms value is relational: it arises from the relation between agents and what affects their goals, needs, viability, or capacity to act. | preserve the OVN value theory | avoid claiming that value lives inside nature as a thing
  • Define ecological value as the contribution of an ecological Source to the maintenance, regeneration, resilience, adaptive capacity, and flourishing of socio-ecological systems. [Literature anchors: IPBES Values Assessment; Costanza 2000/2020 on efficiency, fairness, sustainability; Folke et al. on adaptive capacity.] | give the paper a usable definition | connect ecological value to stewardship rather than price
  • Present the ecological value vector: Sustenance, Regeneration, Resilience, Adaptive Capacity, Generative Capacity, Commons Value, and Learning Value. [Literature anchors: ecosystem services literature for sustenance; resilience/Panarchy for resilience/adaptation; commons/infrastructure literature for commons value; adaptive governance and knowledge commons for learning value.] | make ecological value multidimensional and operationalizable | resist collapsing ecological value into one metric
  • Connect the value vector to Source-NDO state: stock, flux, assimilation capacity, resilience, regime state, adaptive capacity, generative capacity, dependency index, and knowledge value. | show how value can be computed or interpreted from source state | bridge philosophy and information systems

• Implementation: Nondominium hApp and Source-NDO | move from ontology to executable infrastructure | show that the proposal is not only theoretical

  • Introduce Nondominium in the context of OVN, REA, ValueFlows, Holochain, and agent-centric infrastructure. Keep this concise for non-technical readers. | situate the implementation | make the technical stack legible without overwhelming the audience
  • Explain the NDO as a governance-bearing object with identity, event history, attached rules, and stewardship relations, not as an owned asset. | connect Source to Nondominium architecture | show the property-regime innovation
  • Explain how Source-NDO can make externalities visible: ecological Sources become endpoints for economic events, so extraction, loading, regeneration, and condition changes are no longer outside the ledger. | state the implementation payoff | reinforce the central thesis
  • Explain the fivefold synthesis: commons governance (Ostrom), complexity epistemology (Morin/Cynefin/resilience), economic accounting (REA/ValueFlows), explicit externality tracking, and nondominium property relations. | consolidate the originality | leave the reader with a coherent synthesis

• Limits, risks, and open questions | strengthen credibility and avoid techno-solutionism | show the proposal is responsible, situated, and open to governance

  • Measurement quality: who produces ecological data, how sensors are trusted, how uncertainty is represented, and how missing data affects governance. | anticipate practical objections | build trust with scientific and policy readers
  • Governance legitimacy: who interprets the ledger, who changes rules, who represents affected communities, and how conflicts are resolved. | address political reality | avoid the impression that information alone solves governance
  • Indigenous, local, and experiential knowledge: how qualitative and place-based knowledge can inform the source ledger without being extracted or flattened. | widen the epistemic base | respect environmental justice and local stewardship traditions
  • Data sovereignty and privacy: how communities control sensitive ecological and social data. | address risks of surveillance or enclosure | align the model with commons values
  • Risk of green accounting capture: how to prevent Source-NDOs from becoming another way to legitimize extraction through better measurement. | name the adversarial failure mode | show moral seriousness
  • Legal interoperability: how Source-NDO governance relates to rights of nature, public law, commons agreements, permits, and institutional policy. | connect the proposal to existing institutions | make adoption plausible

• Conclusion: Source as missing primitive for ecological-economic information systems | close the argument | leave the reader with the paper's contribution in one sentence

  • Restate the problem: externalities remain invisible when economic systems have no honest object for generative ecological systems. | return to the opening | create closure
  • Restate the proposal: Source / Source-NDO is a third primitive alongside Agent and Resource. | make the core idea memorable | give readers a portable concept
  • Restate the practical effect: extraction, pollution, regeneration, and ecological condition can become visible economic events around a stewarded, non-ownable, complex source. | summarize the utility | leave the reader with a constructive path
  • End with the paradigm shift: the central economic question becomes not only "how much value was extracted?" but "how much generative capacity was maintained, enhanced, or degraded?" | close with a strong normative and emotional frame | move the reader from extraction to stewardship

MODELING

Modeling a river: ValueFlows 1.0 vs Augmented ValueFlows (vf:Source / Nondominium)

A worked case study.

We model a river as commons or nondominium in two ways, using plain ValueFlows 1.0 and ValueFlows augmented with a vf:Source. We use these two alternatives to specify a primitive in the Nondominium hApp called Nondominium Object (NDO). Then we use Occam’s razor to choose between these two representations.

1. The case

A watershed feeds a river. The river spans a conflicting economic ecosystem:

The goal: use Nondominium to align these agents toward sustainable use, arriving at what Ostrom would call successful commons stewardship, and going beyond Ostrom because the resource system is genuinely complex (the watershed), not merely complicated.

The governance loop (the mechanism)

The watershed is a complex system that cannot be fully described, quantified, or managed. The model does not try to represent that complexity. It treats the watershed as a black box and captures only what is measurable at the boundary as ValueFlows economic events: trees cut, fish caught, gallons abstracted, kilograms of pollutant discharged, trees replanted. The river is an NDO: the events are logged against it, the ledger is handed to complexity scientists, academics, environmental orgs, and resource managers, who formulate policy, which is formalized into the NDO’s governance rules, which govern access for each agent, and which evolve as the ledger grows. The loop is: observe boundary events, sense regime, adapt governance, condition future access. That is Cynefin probe-sense-respond applied to a commons.

2. The source hierarchy and the black-box principle

A watershed is a source of sources. The river cannot be separated from it: the river is as much a part of the whatershed as the bacteria, plants, animals, rock chemistry, and the atmospheric coupling (clouds, rain) that compose it. The watershed provides sub-sources (river, forest, fauna, flora), and those provide inventoriable economic resources.

               WATERSHED   (complex system, black box)  
               /     |       \\        \\  
        RIVER     FOREST    FAUNA    FLORA       (sub-sources)  
          |          |         |        |  
      water m3    planks     fish     herbs      (economic resources, inventoriable)

Two distinct generative relations live here:

• Source provides Source (watershed -> river): generative parenthood.
• Source yields Resource (river -> gallons of water): the inventoriable output ValueFlows already models well.

The black-box principle: we never claim to model the interior of the watershed. We model the boundary flows (the events) and we govern the boundary (access rules). Everything below depends on this stance, and it is exactly where the two models diverge, because one of them has a place to put a black-boxed generative commons and the other does not.

3. Model A: ValueFlows 1.0 as is

VF 1.0 offers EconomicResource, EconomicEvent, Agent (Person / Organization / EcologicalAgent), Process, Action, ResourceSpecification, plus the planning and exchange layers (Intent, Commitment, Agreement, Plan). The events ValueFlows models superbly. The trouble is everything the events are about.

What VF 1.0 does well: the events and the derived resources

The gallons, fish, and planks, once appropriated, are proper EconomicResources, and the measurable acts are proper EconomicEvents. This part is correct and should be kept verbatim in both models.

Where it breaks: the river has no honest type

To log “AgriCoop abstracted 10,000 m3 from the river,” VF 1.0 needs the water to come from somewhere. The river is the source, but VF 1.0 has only two slots for it, and both are fictions:

Fiction 1, the river as EconomicResource. A resource requires primaryAccountable, defined as the agent with “primary rights and responsibilities (ownership).” Nondominium means no dominium, no owner. You must either invent an owner (a steward org as primaryAccountable), which records a false ownership claim in the very ledger meant to be authoritative and destroys the nondominium regime, or leave it null, which violates the resource model and breaks hREA implementations that require it.

Fiction 2, appropriation as raise. If you refuse the owner, the only way to get water into AgriCoop’s inventory is raise (“adjust up to account for newly found resource without a process”). But raise has no provider and no source: the water appears from nowhere, and the river’s depletion becomes invisible. This is the phlogiston negative-mass move in concrete form: to keep the books balanced you posit resource from nothing.

# VF 1.0 abstraction event, option (a): depletion vanishes

EconomicEvent { action: raise, resourceInventoriedAs: Water#agri, resourceQuantity: 10000 m3 }
# provider: none.

The river is never debited. Sustainability is unaccountable.

# option (b): reintroduce the owner fiction

EconomicResource River { primaryAccountable: StewardOrg }

# nondominium broken

EconomicEvent { action: transfer, provider: StewardOrg, receiver: AgriCoop, quantity: 10000 m3 }

Fiction 3, the Resource/Agent contradiction. Pollution is an output flow whose receiver must be an Agent. If the river is a resource, it cannot receive MiningCo’s effluent. To absorb pollution you must also type the river as an EcologicalAgent. Now the river is a resource (to inventory water) and an agent (to receive waste): one thing, two incompatible types, and the agent typing re-attributes the agency the prior synthesis showed it does not have.

EconomicEvent { action: produce, provider: MiningCo, receiver: ???, resourceInventoriedAs: HeavyMetals }

# receiver must be an Agent. River-as-Resource cannot receive -> forced dual typing.

The residues VF 1.0 cannot express at all

• No Source-provides-Source edge: the watershed -> river hierarchy is faked with containedIn (wrong: containment is not generation) or pushed to free text.
• No cross-source coupling: forest sustainability conditioning river flow and quality (the heart of the case) has no edge; it lives only in external analysis.
• No black-box construct: VF 1.0 assumes resources and events are fully specified. The epistemic stance “this interior is opaque and must not be modeled” is inexpressible.
• No governance reflexivity: the events -> policy -> rules -> access loop cannot close on the object. You can write Agreements and Commitments, but nothing anchors them to a governed commons that accumulates its own ledger and conditions its own future access.

Tally for Model A

Three active fictions (false ownership, raise-from-nowhere, resource/agent contradiction) plus four inexpressible residues (hierarchy, coupling, black box, governance reflexivity). The “parsimonious” ontology produces a baroque, internally contradictory model that loses the very things the project exists to do: hold a commons in nondominium and steward a complex system.

4. Model B: Augmented ValueFlows with vf:Source

Add one primitive: vf:Source. It is the ontology-layer type of what the property regime calls a Nondominium Object. They are the same entity from two angles:

The single new ontological affordance that does all the work: flows may originate from and terminate in sources, not only agents.

Entity inventory

Source Watershed { complexInterior: true, stewardedBy: WatershedGovernance, provides: [River, Forest, Fauna, Flora] }
Source River {
providedBy: Watershed,
yields: [WaterSpec, FishSpec],
currentStock, fluxRate, assimilationCapacity, regimeState, resilience, tippingThreshold,
stewardedBy: RiverGovernance, # no primaryAccountable: this is the point
realizedAs: NDO#river # the Nondominium Object
}
Source Forest { providedBy: Watershed, yields: [TimberSpec], conditions: River }

Key events, modeled cleanly

# Abstraction: the river is the provider (Source as flow origin); depletion is visible
EconomicEvent { action: extract, provider: River(Source), receiver: AgriCoop, quantity: 10000 m3 }
-> decrements River.currentStock

# Non-consumptive use: HydroDam uses the flux, altering the regime, not the stock
EconomicEvent { action: use, provider: River(Source), receiver: HydroDam, effect: River.regimeState }

# Pollution: the river is the receiver (Source as sink); loading is visible
EconomicEvent { action: produce, provider: MiningCo, receiver: River(Source), quantity: 50 kg HeavyMetals }
-> debits River.assimilationCapacity

# Fishing: the fauna/river source yields fish; extraction debits the biological stock
EconomicEvent { action: extract, provider: River(Source), receiver: FisherGuild, quantity: 500 fish }

# Regeneration: raises a coupled source, which conditions the river
EconomicEvent { action: raise, target: Forest(Source), provider: RegenCollective, quantity: 1000 trees }
-> Forest.conditions(River): improved infiltration raises River.fluxRate and resilience

Every event now has an honest subject. No false owner, no raise-from-nowhere, no dual typing. Depletion, pollution loading, and regeneration are all first-class and visible on the Source.

Governance reflexivity, native

The river NDO accumulates its own ledger. Complexity scientists read it and emit policy, formalized as access rules expressed through the affords edge:

Affordance { source: River, agent: MiningCo, action: produce(pollutant), maxQuantity: 10 kg/month, rule: R-2026-03 }
Affordance { source: River, agent: AgriCoop, action: extract(water), maxQuantity: 8000 m3/season, rule: R-2026-04 }

The loop closes on the object: events -> ledger -> policy -> affordances -> conditioned future events. The Source is the anchor that both accumulates the events and carries the governance that conditions the next ones.

Sustainability as a computable cross-source relation

Because Sources couple (Forest.conditions(River)), sustainability is not a slogan but a relation over the source web: for each Source, compare withdrawals (extract + consume) and loading (produce-into) against regeneration (raise) and assimilationCapacity, propagated across couplings. Deforestation shows up as a drop in Forest stock that lowers River fluxRate and resilience, tightening the river’s sustainable abstraction budget. The model makes the forest-river link an accounting fact.

Beyond Ostrom

Ostrom’s design principles (clear boundaries, monitoring, graduated sanctions, conflict resolution, nested governance) largely assume a complicated resource system whose state can be tracked and whose rules can be designed from understanding it. The watershed is complex: its interior is opaque, its responses nonlinear, its regime shifts abrupt. The Source-NDO extends Ostrom into the complex domain: you cannot design optimal rules from understanding the system, so you sense the boundary ledger and adapt governance continuously, holding precautionary buffers against tipping points you cannot predict. The black box is not a limitation worked around; it is the honest design center. That is the “beyond Ostrom” move, and Model B is built for it while Model A has no place to put it.

5. The Occam’s razor verdict

The razor’s naive reading favors Model A: VF 1.0 adds zero classes, the augmentation adds one. But the razor’s real target (Popper, Quine) is the multiplication of ad hoc hypotheses and unexplained residue, not the size of the vocabulary. It operates on two levels:

• Ontological parsimony: how many classes the vocabulary names.
• Model parsimony: how many entities and fictions a faithful representation must posit.

Adding vf:Source raises the first and sharply lowers the second.

The decisive argument: Occam’s razor minimizes the entities a theory must posit, not the terms in its vocabulary. Nondominium Objects already exist in this system; the project is built on them. VF 1.0, lacking a type for them, must reconstruct each NDO out of mismatched parts plus three fictions. That reconstruction posits more (a fake owner, a phantom raise, a contradictory dual type) than simply admitting the entity that is already there. Refusing to name the Source does not remove it from the world; it forces you to smuggle it in piecemeal and falsely. The augmented ontology is more parsimonious at the level that matters: the furniture of reality it commits you to. VF 1.0 here is “simpler than possible” (the Einstein corrective): the honest simplest theory that fits a complex, unowned, generative, governed commons needs the Source primitive.

There is also an epistemic razor. Model A, by typing the river as a fully specified Resource, implicitly claims the watershed is analyzable (complicated). The case states it is not. Model B’s black-box Source matches the complex-domain epistemics and refuses to posit a describable interior it can never verify. Do not multiply unverifiable entities: another reason the razor cuts toward B.

Steelman of A, and rebuttal

The strongest case for A: “Use EconomicResource with a convention (primaryAccountable = a commons DAO, classifiedAs nondominium) and handle hierarchy, coupling, and governance in the hREA app layer. Ontologies need not model everything.” The rebuttal: pushing it to the app layer means the ontology stops being the shared semantic substrate, so every implementation reinvents nondominium and source semantics privately, defeating interoperability, the whole reason for a shared vocabulary. And the dominium fiction is not a neutral convention: primaryAccountable asserts ownership rights, the exact inverse of nondominium. Writing a false property claim into the authoritative ledger is a misstatement of the regime, not a shortcut. Parsimony and correctness point the same way.

6. Recommendation

Choose the augmented ValueFlows, but augment surgically. The augmentation is minimal and located precisely at the joint where VF 1.0 forces fictions:

• Keep VF 1.0 unchanged for the event ledger and the derived resources (gallons, fish, planks). It is correct there, in both models.
• Add vf:Source as the type of the Nondominium Object: the unowned, black-boxed, generative commons that anchors the ledger, absorbs pollution, yields resources, couples to other sources, and carries evolving governance.

This is itself a razor-friendly result: the smallest possible addition (one primitive) removes the largest amount of fiction (three active fictions plus four inexpressible residues), and it names an entity the system already contains. The new entity pays for itself many times over in eliminated epicycles.

7. Coda: what this means for Nondominium

vf:Source gives Nondominium its missing ontological foundation. An NDO is not a resource that happens to be unowned; it is a Source: a complex, generative, agentless commons whose interior is opaque and whose stewardship is the continuous, ledger-driven, complexity-informed adaptation of access rules at its boundary. Modeling it as a Source rather than a resource is what lets Nondominium be both faithful to the property regime (no dominium) and honest about the science (irreducible complexity), and it is what carries commons stewardship beyond Ostrom into the complex domain.

PERTINENT LITERATURE

We are attempting to ground an ontology and accounting infrastructure that can:

1. Represent ecosystems as generative commons rather than owned resources.
2. Capture externalities as first-class economic events.
3. Track extraction, regeneration, pollution, ecological condition, and source-to-source coupling.
4. Govern access through adaptive, polycentric, object-attached institutions.
5. Treat ecosystems as complex systems whose internal dynamics remain partially opaque.
6. Create information infrastructures that connect ecological observations, accounting systems, governance rules, and economic activity.
7. Move beyond static resource accounting toward reflexive governance: events -> ledger -> interpretation -> policy/rules -> access affordances -> future events.

The literature should be organized around the claims we need to defend, not only around academic domains.

Claim-To-Literature Map

Core Bibliography To Use First

Externalities, Social Cost, and Economic Blind Spots

• Pigou, A. C. (1920/1932). The Economics of Welfare, especially Part II, Chapter IX, "Divergences between Marginal Social Net Product and Marginal Private Net Product." Use to ground the classical externality problem.
• Coase, R. H. (1960). "The Problem of Social Cost." Journal of Law and Economics, 3, 1-44. https://doi.org/10.1086/466560. Use as the institutional/property-rights counterpoint to Pigou.
• Georgescu-Roegen, N. (1971). The Entropy Law and the Economic Process. Harvard University Press. Use to ground the biophysical critique of treating the economy as a closed circular flow.
• Daly, H. E. (1977/1991). Steady-State Economics. W. H. Freeman / Island Press. Use to ground ecological limits, throughput, and the economy as subsystem of a finite biosphere.

Commons, SES, and Adaptive Governance

• Ostrom, E. (1990). Governing the Commons. Cambridge University Press. Use for the design principles of commons governance.
• Ostrom, E. (2005). Understanding Institutional Diversity. Princeton University Press. Use for institutional analysis and rule diversity.
• Ostrom, E. (2009). "A General Framework for Analyzing Sustainability of Social-Ecological Systems." Science, 325(5939), 419-422. https://doi.org/10.1126/science.1172133. Use for Resource System / Resource Unit / Governance System / User categories.
• Folke, C., Hahn, T., Olsson, P., & Norberg, J. (2005). "Adaptive Governance of Social-Ecological Systems." Annual Review of Environment and Resources, 30, 441-473. https://doi.org/10.1146/annurev.energy.30.050504.144511. Use for adaptive governance, learning, bridging organizations, and crisis-as-transformation.
• Berkes, F. (2012). Sacred Ecology (3rd ed.). Routledge. Use for indigenous and traditional ecological knowledge, but be careful not to instrumentalize it.

Complexity, Resilience, Black-Box Epistemology

• Holling, C. S. (1973). "Resilience and Stability of Ecological Systems." Annual Review of Ecology and Systematics, 4, 1-23. https://doi.org/10.1146/annurev.es.04.110173.000245. Use for ecological resilience and non-equilibrium thinking.
• Gunderson, L. H., & Holling, C. S. (Eds.). (2002). Panarchy: Understanding Transformations in Human and Natural Systems. Island Press. Use for cross-scale adaptive cycles.
• Ashby, W. R. (1956). An Introduction to Cybernetics. Chapman & Hall. Use for black-box theory and the Law of Requisite Variety.
• Snowden, D. J., & Boone, M. E. (2007). "A Leader's Framework for Decision Making." Harvard Business Review, 85(11), 68-76. Use for Cynefin and probe-sense-respond in complex contexts.
• Scott, J. C. (1998). Seeing Like a State. Yale University Press. Use as a warning against over-legibility and centralized simplification of complex natural/social systems.

Ecosystem Services, Natural Capital, and Plural Values

• Daily, G. C. (Ed.). (1997). Nature's Services: Societal Dependence on Natural Ecosystems. Island Press. Use for ecosystem services and life-support framing.
• Costanza, R., d'Arge, R., de Groot, R., et al. (1997). "The Value of the World's Ecosystem Services and Natural Capital." Nature, 387, 253-260. https://doi.org/10.1038/387253a0. Use as the landmark valuation paper; treat it as important but not the final model.
• Millennium Ecosystem Assessment. (2005). Ecosystems and Human Well-being: Synthesis. Island Press / World Resources Institute. Use for provisioning, regulating, cultural, and supporting services.
• TEEB. (2010). The Economics of Ecosystems and Biodiversity: Mainstreaming the Economics of Nature. Use for policy-facing ecosystem valuation and biodiversity economics.
• IPBES. (2022). Methodological Assessment Report on the Diverse Values and Valuation of Nature. Use to support plural, relational, intrinsic, and instrumental values of nature.
• Costanza, R. (2000). "Social Goals and the Valuation of Ecosystem Services." Ecosystems, 3, 4-10. Use to support valuation relative to efficiency, fairness, and sustainability.
• Costanza, R., et al. (2020). "Valuing natural capital and ecosystem services toward the goals of efficiency, fairness, and sustainability." Ecosystem Services, 43, 101096. Use as updated plural-value ecological economics.

Environmental Accounting and Information Infrastructure

• United Nations et al. (2012). System of Environmental-Economic Accounting 2012: Central Framework. Use for the official environmental-economic accounting baseline.
• United Nations et al. (2021). System of Environmental-Economic Accounting--Ecosystem Accounting (SEEA EA). Use as the most important official framework for ecosystem extent, condition, services, degradation, and enhancement.
• ARIES for SEEA. Use as the closest existing implementation precedent: an open-source, semantically informed modeling platform for compiling ecosystem accounts according to SEEA EA.
• Star, S. L., & Ruhleder, K. (1996). "Steps Toward an Ecology of Infrastructure." Information Systems Research, 7(1), 111-134. https://doi.org/10.1287/isre.7.1.111. Use to frame Source-NDO as infrastructure, not just an ontology.
• Bowker, G. C., & Star, S. L. (1999). Sorting Things Out: Classification and Its Consequences. MIT Press. Use to justify why adding the Source category has practical and political consequences.

REA, ValueFlows, and Economic Ontologies

• McCarthy, W. E. (1982). "The REA Accounting Model: A Generalized Framework for Accounting Systems in a Shared Data Environment." The Accounting Review, 57(3), 554-578. Use as the origin of Resource-Event-Agent accounting.
• Geerts, G. L., & McCarthy, W. E. (2002). "An ontological analysis of the economic primitives of the extended-REA enterprise information architecture." International Journal of Accounting Information Systems, 3(1), 1-16. Use for REA as economic ontology.
• ValueFlows specification. Use the official vocabulary to ground claims about EconomicResource, EconomicEvent, Agent, ResourceSpecification, Commitment, and Claim.

Rights of Nature, Legal Personhood, and Category Boundaries

• Constitution of the Republic of Ecuador (2008), Articles 71-74. Use for national constitutional recognition of Rights of Nature / Pacha Mama, including rights to existence, regeneration, restoration, and non-appropriation of environmental services.
• Te Awa Tupua (Whanganui River Claims Settlement) Act 2017. Use for legal personhood: the Act declares Te Awa Tupua a legal person with rights, powers, duties, and liabilities, exercised by Te Pou Tupua.
• Atrato River judgment (Colombia, 2016). [ToDo: verify official citation before relying on it.] Use only if we want a broader Rights of Nature comparison.

High-Priority Sources For The Actual Paper

If the paper must be concise, prioritize these:

1. Pigou, The Economics of Welfare.
2. Coase, "The Problem of Social Cost."
3. Ostrom, Governing the Commons.
4. Ostrom, "A General Framework for Analyzing Sustainability of Social-Ecological Systems."
5. Holling, "Resilience and Stability of Ecological Systems."
6. Gunderson & Holling, Panarchy.
7. Folke et al., "Adaptive Governance of Social-Ecological Systems."
8. SEEA Ecosystem Accounting.
9. ARIES for SEEA.
10. McCarthy, "The REA Accounting Model."
11. ValueFlows specification.
12. IPBES Values Assessment.
13. Bowker & Star, Sorting Things Out.
14. Te Awa Tupua Act 2017 and Ecuador Constitution Articles 71-74.

Together these support the paper's major claims: externalities as accounting failures, commons stewardship, social-ecological systems, complexity and black-box governance, ecosystem accounting, plural values of nature, information infrastructure, economic event ontologies, and the limits of ecological personhood.

Source Validation Notes

• SEEA EA is an official UN statistical framework adopted by the UN Statistical Commission in March 2021. Its core accounts are extent, condition, physical ecosystem services, monetary ecosystem services, and monetary ecosystem assets.
• Ostrom's 2009 Science paper explicitly distinguishes four first-tier SES subsystems: resource systems, resource units, governance systems, and users.
• Holling's 1973 paper is in Annual Review of Ecology and Systematics, 4, 1-23, DOI 10.1146/annurev.es.04.110173.000245.
• Folke et al. 2005 is in Annual Review of Environment and Resources, 30, 441-473, DOI 10.1146/annurev.energy.30.050504.144511.
• McCarthy's REA paper appeared in The Accounting Review, 57(3), 554-578.
• Costanza et al. 1997 appeared in Nature, 387, 253-260, DOI 10.1038/387253a0.
• Te Awa Tupua Act 2017, section 14, declares Te Awa Tupua a legal person and specifies that rights, powers, duties, and liabilities are exercised through Te Pou Tupua.

PRIOR KNOWLEDGE

What follows is not a legal novelty claim. It is an intellectual positioning exercise: where does Source-NDO sit relative to existing bodies of knowledge, and what exact gap does it fill?

1. Situating The Source-NDO Within Existing Literature

The Source-NDO sits at the intersection of several traditions that usually remain separate:

The central observation is that none of these traditions by itself possesses a satisfactory operational category corresponding to what we call a Source: a generative, non-ownable, partially unknowable entity that yields resources, receives ecological effects, conditions future economic possibilities, and accumulates the historical evidence required for its own governance.

2. Economics: Externality As Displaced Information

Pigou gives us the classical formulation: private net product and social net product can diverge. This is the basis for understanding pollution, depletion, and ecological degradation as effects that do not return to the decision calculus of the actor producing them.

Coase complicates this by showing that externalities are also institutional and relational: harms are reciprocal, rights matter, and transaction costs determine whether parties can bargain or must rely on institutional design. This is useful for Source-NDO because the proposal is not merely "tax the polluter" or "price the service." It asks a prior information-system question: where does the ecological effect appear in the shared record?

Source-NDO reframes externality as a ledger topology problem. If the river cannot be a flow endpoint, pollution remains outside the economic event record or is routed through a fictional agent/resource. If the river is a Source, the event can be written as MiningCo -> River(Source), and the externality becomes internal to the information system without pretending the river is a person or an owned asset.

3. Ecological Economics: Nature As Capital, Services, And Biophysical Limit

Georgescu-Roegen and Daly supply the biophysical foundation: the economy is not a closed circular flow of exchange value. It is an open subsystem of a finite, entropic biosphere. This supports the paper's critique of treating ecosystems as ordinary inventory.

Daily, Costanza, the Millennium Ecosystem Assessment, TEEB, and SEEA make nature visible through services, natural capital, extent, condition, and ecosystem asset accounts. This is indispensable. The paper should not dismiss this tradition. It should say: this work made a major step by making nature legible to economics and policy.

The Source-NDO departure is narrower and more precise. Ecosystem services frameworks usually describe what nature contributes to humans. Source-NDO describes the generative system as an economic-information endpoint. It can yield resources, absorb pollution, condition other sources, and carry governance rules. The Source is not merely the stock behind a service flow; it is the governed, event-bearing object around which stewardship occurs.

IPBES and Costanza's later work on plural valuation help prevent a common misunderstanding: the proposal is not simply a new monetary valuation mechanism. Source-NDO is compatible with monetary valuation where communities choose it, but its deeper value contribution is multidimensional: sustenance, regeneration, resilience, adaptation, generation, commons dependence, and learning.

4. Ostrom And SES: Resource Systems Become Executable Objects

Ostrom's distinction between resource systems and resource units is the closest conceptual ancestor of Source vs Resource:

Examples:

The difference is operational. In Ostrom and SES theory, the resource system is an analytical category for researchers and practitioners. In Source-NDO, the Source is a machine-readable accounting and governance object: events can originate from it, terminate in it, be logged against it, and condition access rules attached to it.

This is the paper's bridge from commons analysis to economic information infrastructure.

5. Complexity, Resilience, And The Black-Box Principle

Holling, Panarchy, and adaptive governance literature establish that ecosystems are not merely complicated systems awaiting better measurement. They are complex adaptive systems with nonlinear dynamics, cross-scale coupling, thresholds, resilience, and transformation.

Ashby gives us a language for the black-box principle. A system may be too large, inaccessible, or complex to inspect internally. Governance does not require complete internal representation; it requires enough variety in observation and response to keep essential variables within viable bounds.

Scott provides the warning: attempts to make nature and society legible for centralized administration often simplify away the local, practical, ecological relationships that matter. This supports a careful design constraint: Source-NDO should not become another high-modernist over-modeling apparatus. It must preserve uncertainty, local knowledge, plural interpretation, and adaptive revision.

Cynefin gives a practical governance frame: in complex domains, the appropriate pattern is not predict-plan-control, but probe-sense-respond. The Source-NDO governance loop matches this:

• observe boundary events,
• sense source condition and regime,
• interpret through science and situated knowledge,
• adapt governance rules,
• condition future access,
• learn from the next round of events.

6. SEEA And ARIES: From Ecosystem Accounts To Reflexive Governance

SEEA EA is the strongest existing benchmark for ecosystem accounting. It organizes spatially explicit accounts for ecosystem extent, condition, physical ecosystem service flows, monetary ecosystem service flows, and monetary ecosystem assets. ARIES for SEEA is especially relevant because it shows that semantically informed tools can automate and customize ecosystem account compilation across territories.

The Source-NDO should be positioned as complementary, not competitive. SEEA answers: How can ecosystem condition and services be statistically represented and linked to economic activity? Source-NDO asks: How can economic activity around an ecological source be recorded in a way that changes future permissions, responsibilities, and stewardship rules?

The difference is the reflexive loop:

SEEA-style account -> policy insight

versus

Source-NDO event ledger -> ecological interpretation -> governance rule -> conditioned future event

In short: SEEA is closest to the map; Source-NDO aspires to be part of the governance cybernetics.

7. REA, ValueFlows, And The Missing Primitive

McCarthy's REA model is foundational because it moves accounting away from account balances as primary objects and toward economic phenomena: Resources, Events, and Agents. ValueFlows extends this pattern into open, networked economic coordination with commitments, claims, processes, resource specifications, and event vocabularies.

This is exactly the right substrate for the paper's purposes. The problem is not that REA/ValueFlows are wrong. The problem is that their primitive set forces ecological systems into categories that do not fit:

• If a river is an EconomicResource, it tends to require an ownership or primary-accountable fiction.
• If a river is an Agent, it receives person-like agency it does not possess.
• If water appears through raise, depletion from the river/source can disappear from the ledger.

The Source primitive is therefore not a wholesale replacement of ValueFlows. It is a minimal extension at the exact point where the ontology otherwise creates fictions.

8. Rights Of Nature: Important Protection, Problematic Ontology

Rights of Nature and ecological personhood should be treated with respect. Ecuador's Constitution and the Te Awa Tupua Act are serious legal and political innovations responding to real failures of property law and environmental regulation.

The Source-NDO critique is not that these movements are wrong to protect nature. The critique is that legal personhood can introduce a category ambiguity: rivers, forests, and watersheds do not deliberate, commit, form intentions, or bear responsibility. Their rights and duties must be exercised through human representatives. This may be practical in law, but it is dangerous if imported directly into economic ontology.

Source-NDO offers a third path: attach governance to ecological systems without personifying them. A Source can be protected, stewarded, monitored, and governed without being an Agent.

9. Information Infrastructure: Why The Category Matters

Bowker and Star are important because they show that classification systems do not merely describe reality. They organize work, allocate visibility, distribute power, and silence some relations while amplifying others.

This means adding Source is not a cosmetic vocabulary change. It changes what the economic information system can see:

• without Source, depletion can become invisible,
• without Source, pollution has no honest receiver,
• without Source, cross-source coupling remains external analysis,
• without Source, governance cannot attach directly to the ecological object,
• without Source, externalities remain structurally external.

From an information-infrastructure perspective, Source-NDO is a classification intervention with practical consequences.

10. Where The Source-NDO Appears Most Original

The strongest originality emerges where several traditions fail to connect.

A. Ontological Separation Of Source And Resource

Many frameworks distinguish resource systems and resource units analytically. Few make that distinction operational inside economic event infrastructure. Source-NDO makes the distinction machine-readable and action-relevant.

B. Nondominium As An Ontological And Institutional Primitive

Most institutional frameworks assume private, public, collective, or common property. Source-NDO introduces governable-without-ownership as an economic-information category. Stewardship becomes separable from dominium.

C. Integration Of Externalities Into The Ledger

Externalities are no longer merely outside effects to price later. They become event flows with ecological endpoints. Pollution, extraction, and regeneration become part of the record around the Source.

D. Governance Attached To Ecological Objects

Most governance systems revolve around organizations. Source-NDO shifts the center of gravity toward the ecological object itself: watershed, river, forest, fishery, wetland, atmosphere. Governance becomes attached to the source being affected.

E. From Representation To Execution

Most literature discussed above is descriptive, analytical, legal, or statistical. Source-NDO asks whether a generative ecological system can become an executable governance primitive in an economic information system.

A Deeper Interpretation

Looking across the literature, the Source-NDO is best understood not merely as environmental accounting and not merely as commons governance. It is a proposed new category of economic object:

a generative, stewarded, non-ownable, partially unknowable entity that conditions the production of economic resources and accumulates the historical evidence required for its own governance.

Pieces of this appear in:

• Pigou and Coase: externalities, rights, and social cost,
• Ostrom: commons institutions and resource systems,
• SES theory: coupled resource/governance/user systems,
• Holling and Panarchy: resilience, adaptive cycles, and regime shifts,
• Ashby and Cynefin: black-box observation and probe-sense-respond,
• SEEA and ARIES: ecosystem accounts and environmental data infrastructure,
• IPBES and ecological economics: plural values and natural capital critique,
• REA/ValueFlows: event-centric accounting,
• Bowker and Star: the politics of classification and infrastructure,
• Rights of Nature: legal recognition of ecological entities.

The paper's contribution is the synthesis: turning those fragments into a single operational primitive for ecological-economic information systems.

COMPLEXITY ECONOMICS

We think that here is a deeper interpretation that goes beyond environmental accounting. The Source-NDO may represent an attempt to solve what I would call the missing ontological layer of complexity economics.

1. The hidden weakness in most complexity economics

Most complexity economists agree on several propositions:

• economies are complex adaptive systems,
• emergence matters,
• agents are heterogeneous,
• networks matter,
• equilibrium is generally absent,
• adaptation and learning are fundamental.

However, most complexity economics still focuses primarily on: agents, interactions, networks and institutions. The ontology remains largely anthropocentric. Even in the Santa Fe tradition, the economy is usually modeled as a population of interacting adaptive agents. The environment appears mostly as constraints, resources or exogenous conditions. This creates a paradox: complexity economics claims that economies are embedded in larger complex systems, but its models often stop at the boundary of human actors.

2. P2P economics extends complexity economics

This is widely covered in recent Sensorica writings, which argue that P2P systems are not merely compatible with complexity economics; they may constitute an organizational response to rising societal complexity. Hierarchical institutions fail because complexity exceeds centralized processing capacity, while distributed peer networks process information through self-organization and feedback. This is already an extension of complexity economics.

Complexity economics explains why economies behave as complex adaptive systems. P2P theory asks what organizational forms are capable of operating effectively within such systems?

The Source-NDO primitive adds another layer. As neoclassical economics focused on the market actor, complexity economics recognizes expands to the adaptive agent, which becomes a networked peer in P2P economics. They all treat resources pretty much the same way, as accountable, inputs and outputs of economic processes. Neither speak about a generative resource. The shift is subtle but profound. The Source-NDO says: the economy is not only composed of agents interacting. It is composed of agents, networks, institutions, economic resources, as well as generative sources. The watershed itself becomes part of the economic ontology, not as a resource, not as a stakeholder, not as a legal person, but as a generative system.

4. Introducing generative causality

Complexity economics usually models: Agent → Agent interactions or Agent → Network interactions. The Source-NDO introduces: Source → Source interactions. Examples:

• Forest → River
• River → Fish population
• Wetland → Watershed

So the economic system becomes embedded in a network of generative systems. This is much closer to ecological reality. In fact, one could argue that the Source-NDO introduces a form of ecological causality that complexity economics generally lacks. The economy is no longer a self-contained adaptive system, it becomes a subsystem of a larger adaptive system.

5. The deepest connection with Morin

This is where we see a very strong alignment with Edgar Morin. Morin repeatedly criticizes what he calls reductionism:

• separating object from context,
• separating part from whole,
• separating system from environment.

The Source-NDO does something unusual, it creates an accounting object that is simultaneously inside the economy and outside the economy. The watershed is not reducible to economic activity. Yet economic activity cannot be understood without it. This is very close to Morin's principle of recursive organization: the product becomes a producer of what produces it. The watershed produces economic activity. Economic activity alters the watershed. The modified watershed alters future economic activity. This recursive loop is largely absent from conventional accounting.

6. The most important thing still missing

We think that there is one major complexity-economic concept that is not yet fully present in the model. We talk about stocks, withdrawals, regeneration, pollution, resilience and tipping points. But we don’t fully represent emergence. Complexity economics is fundamentally concerned with emergent structures. The Source-NDO currently captures: state, condition, events. But not emergence itself.

Example

A watershed does not merely regenerate. It may produce entirely new structures:

• new wetlands,
• new ecological niches,
• new species assemblages,
• new economic opportunities,
• new social institutions.

Likewise, peer production networks exhibit emergence:

• new projects,
• new roles,
• new norms,
• new governance structures.

These cannot be predicted from individual events.

Proposed additions

Regime emergence

We already have: regimeState, resilience and tippingThreshold. We can also add emergentProperties or emergenceIndicators. Examples:

River:

• biodiversity index
• trophic complexity
• habitat diversity

OVN:

• contributor diversity
• innovation diversity
• project diversity

These are not resources. They are emergent system-level properties. This would move the ontology closer to complexity science.

Adaptive capacity

Resilience and adaptive capacity are not identical. Resilience measures persistence. Adaptive capacity measures ability to discover new configurations. A forest may be resilient but incapable of transformation. A peer network may be highly adaptive despite low stability. Therefore, resilience, adaptiveCapacity should probably be separate attributes. This comes directly from resilience theory and Panarchy.

Knowledge as a source

This is an exciting one. The watershed example naturally leads to ecological sources. But OVN and P2P systems revolve around another type of source: knowledge commons. Consider open-source codebase, Wikipedia, Design repository, Scientific knowledge commons. These are also generative, non-rival, stewarded, not reducible to resources. In fact they satisfy almost every property of the Source-NDO. So perhaps the Source ontology should be generalized:

This would connect ecological commons and knowledge commons within the same framework. That would be a major contribution to P2P economics.

Source metabolism

Complexity economics often views economies as evolving ecologies. Ecologies have metabolism. A source therefore might have:

• inflows,
• outflows,
• regeneration rate,
• decay rate,
• carrying capacity.

Not merely inventory. Not merely stock. But metabolism. This language is much closer to ecological economics and complexity science than traditional accounting.

The strongest complexity-economics interpretation

If I were to express the Source-NDO in a single sentence within the context of complexity economics, I would say:

The Source-NDO extends complexity economics beyond networks of adaptive agents by introducing generative, non-ownable, adaptive sources as first-class participants in economic systems, allowing economic activity to be modeled as a recursive process embedded within larger ecological, knowledge, and social commons.

That is potentially a significant step because complexity economics has become very good at modeling interactions among agents, while the Source-NDO begins to model the generative substrates from which agents, resources, and opportunities continuously emerge. In that sense, the Source-NDO is not merely an environmental accounting innovation. It may be the sitting at the foundation of commons-centric complexity economics, where the primary unit of analysis is neither the firm nor the market nor even the agent, but the evolving generative commons that make economic activity possible. This also aligns remarkably well with the Sensorica argument that the next stage beyond hierarchy is networked collective intelligence: the Source-NDO provides a way to anchor that collective intelligence to the commons it depends on and regenerates.

VALUE

The value question touches the intersection of:

• OVN's theory of value,
• ecological economics,
• complexity economics,
• and the Source-NDO ontology.

Ecological value is often defined in ways that are incompatible with the OVN approach. Most ecological economics literature tends to define ecological value as:

• monetary value of ecosystem services,
• willingness-to-pay,
• replacement cost,
• natural capital value.

The OVN definition of value is fundamentally different. In OVN, value is not a property of a thing, it emerges from the relationship between an agent and something that affects the agent's goals, needs, viability, or capacity to act. Thus, ecological value cannot literally reside in the watershed, river, forest, or fish population. Instead:

Ecological value is the capacity of an ecological source to contribute to the viability, adaptive capacity, and flourishing of agents and agent networks.

This is much closer to a complexity-oriented interpretation.

NOTE: pay attention because according to OVN value is related to agents and their relations, it is not in the thing. Therefore, the economy becomes a human thing. Those who want to include nature in the economy cause a problem. Nature cannot have a value experience. The economy is a human thing. So there must be a separation. We must maintain an ontological separation, the dualism nature-economy persists. We can include nature in the economy, but by other means…

Ecological Value in OVN Terms

Definition

The contribution of an ecological Source to the maintenance, regeneration, resilience, and evolutionary potential of a socio-ecological system.

Notice that:

• the Source is not valuable in itself,
• value emerges through relationships,
• value is dynamic,
• value depends on context,
• value can differ across agents.

This is fully aligned with the OVN theory of value.

First Dimension: Sustenance Value

This is closest to conventional ecosystem services.

Examples:

• water provision
• food provision
• timber
• pollination
• climate regulation

Question:

How much does the Source support the ongoing functioning of agents?

Metrics:

• water availability
• biomass production
• fish population
• pollination rates
• nutrient cycling

Watershed example:

River → provides water
Forest → regulates water cycle

Second Dimension: Regenerative Value

This dimension is usually absent from economics. A Source is valuable because it can regenerate itself and other sources.

Example:

• Forest → restores soil
• Wetland → restores water quality
• Mangrove → restores fisheries

Metrics:

• regeneration rate
• soil formation rate
• nutrient recovery rate
• carbon sequestration rate

This aligns naturally with the Source-NDO notion of:

Source → conditions → Source

Third Dimension: Resilience Value

This is where complexity economics enters. A source contributes value because it stabilizes the broader system.

Example:

• Wetland absorbs floods.
• Forest buffers droughts.
• Biodiversity absorbs shocks.

Metrics:

• biodiversity
• redundancy
• connectivity
• response to disturbance

A river with the same water volume can have radically different resilience value.

Fourth Dimension: Adaptive Capacity Value

This goes beyond resilience.

Resilience asks:

Can the system survive?

Adaptive capacity asks:

Can the system evolve?

Examples:

• genetic diversity
• species diversity
• habitat diversity
• knowledge diversity within stewardship communities

Metrics:

• diversity indices
• network diversity
• innovation potential

This is strongly aligned with complexity economics.

Fifth Dimension: Generative Value

This is probably the most important dimension for the Source-NDO framework. The Source is fundamentally generative, it creates possibilities.

A watershed generates:

• water
• fish
• recreation
• tourism
• agriculture
• cultural meaning
• future opportunities

Many of these do not yet exist. Traditional economics struggles with this because future possibilities are not inventory. Generative value measures the capacity of a source to produce future value experiences.

Metrics (potential indicators):

• ecosystem complexity
• biodiversity
• ecological connectivity
• carrying capacity
• emergence indicators

Sixth Dimension: Commons Value

This dimension emerges directly from OVN and Nondominium. A source has value because it serves as shared infrastructure.

Examples:

• watershed
• atmosphere
• forest
• open-source design repository

Question:

How many agents depend on it?

Metrics:

• number of dependent agents
• diversity of dependent agents
• dependency ratio
• criticality

This resembles infrastructure value.

Seventh Dimension: Learning Value

This is rarely discussed. Complex adaptive systems continuously generate information.

A watershed is also:

• a sensor,
• an experiment,
• a knowledge generator.

Examples:

• environmental monitoring
• scientific research
• indigenous knowledge
• adaptive governance

Metrics:

• observations generated
• knowledge produced
• model improvements
• governance improvements

This is highly compatible with the OVN emphasis on knowledge commons.

A Complexity-Oriented Ecological Value Vector

We would propose:

Ecological Value
=
(
Sustenance,
Regeneration,
Resilience,
Adaptation,
Generation,
Commons,
Learning
)

or

EV =
(S,R,Rs,A,G,C,L)

The key insight is: Ecological value is multidimensional and cannot be collapsed into one number without losing critical information. This is very consistent with complexity economics.

Relation to the Source-NDO

The current Source-NDO already contains some relevant attributes:

currentStock
fluxRate
assimilationCapacity
resilience
regimeState

We would extend it with:

adaptiveCapacity
generativeCapacity
dependencyIndex
knowledgeValue

Then ecological value becomes something computed from Source state rather than something attached to extracted resources. This is a significant departure from both traditional economics and ecosystem service accounting.

The deeper synthesis with OVN

The deepest alignment with the OVN value theory may be this:

Traditional economics tends to ask: What is the value of the forest?

OVN asks: How does interaction with the forest affect agents?

The Source-NDO introduces a third perspective: What capacities does the forest possess that enable future value experiences for present and future agents?

This shifts attention away from pricing outputs and toward stewarding generative capacities.

In a complexity-oriented P2P economy, that may become the central economic question: not "How much value was extracted?" but "How much generative capacity was maintained, enhanced, or degraded?" The ecological value of a Source is therefore best understood as the state of its generative capacities across multiple dimensions rather than as a monetary quantity or a stock of ecosystem services.

NATURE AS AGENT

Let’s explore this beyond ontology design and enter philosophy, law, governance, and complexity science.

We believe that Nature is important, therefore it should be represented. At the same time, the movement that advocated the “Rights of Nature” is based on a wrong assumption. Nature is real and critically important, but it belongs to a fundamentally different ontological category than agents. The Source-NDO proposal gains strength precisely because it avoids reducing nature either to a resource or to a person.

1. The Common Category Error

The underlying issue is a classic category error. Gilbert Ryle introduced the notion of a category mistake: treating something as belonging to a logical category to which it does not belong.

Examples:

• asking what color the number seven is,
• treating a corporation as a biological organism.

Our ontology contains at least three distinct categories:

Confusion arises when one category is forced into another.

2. Nature as Agent

The environmental narrative often personifies nature as Mother Earth, Gaia, Nature is angry, the planet is punishing us, the river wants to flow freely, etc. Such language can be emotionally powerful and politically useful, but taken literally it creates conceptual problems. The Earth does not form intentions, deliberate, choose goals, negotiate, experience emotions, assign responsibility. A drought is not revenge. A flood is not punishment. A wildfire is not moral judgment. These are physical processes emerging from interactions among atmosphere, vegetation, hydrology, climate, geology, human interventions. Complexity theory actually reinforces this point as complex systems generate emergent behavior without intention. A hurricane, a watershed or an ecosystem does not decide.

3. Corporation as Person

A strikingly similar process occurred with corporations. Historically corporations were viewed as legal instruments, contractual structures or organizational technologies. Over time many jurisdictions adopted the notion of corporate personhood. A corporation became a "legal person." Initially this was a practical shorthand, it allowed corporations to sign contracts, own property and appear in court. As a legal fiction, this was useful. The problem emerged when the fiction became reified. People began speaking as if corporations genuinely possessed properties of natural persons.

The Contradiction

A corporation possesses assets, contracts and governance structures, but it lacks consciousness, subjective experience, suffering, moral responsibility. Only actual humans possess those. Yet personhood language encourages treating corporations as if they possessed both.This creates paradoxes.

Observed Consequences

Separation of power and responsibility

Corporations accumulate rights, assets and influence, while responsibility becomes diffused among shareholders, executives, employees and contractors. The "person" can act. Yet the person cannot suffer. This creates asymmetry.

Political distortions

Corporate personhood has enabled corporations to claim protections originally intended for human beings. The most cited example is the extension of constitutional protections to corporations in some jurisdictions. The legal fiction gradually acquires political reality.

Moral confusion

When an oil company pollutes a river, people say the corporation did it, but corporations do not possess minds. Actual decisions were made by boards, executives, investors and managers. The legal person can obscure the human causal chain.

4. Rights of Nature and Ecological Personhood

A parallel movement now exists around rivers, forests, and ecosystems. Examples include:

• Whanganui River
• Atrato River
• constitutional rights of nature in Ecuador

These developments emerge from legitimate concerns about environmental destruction, inadequate legal protection and failures of traditional property systems. The motivations are understandable, however, the solution often introduces another category mistake.

5. What Happens When Nature Becomes an Agent?

If a river is classified as an agent, several conceptual problems appear.

Problem 1: Agency without intention

Agents normally possess preferences, goals, decision-making capability. A river possesses none of these. Therefore its "agency" must be represented by humans. Immediately the question arises: Which humans, scientists, Government, indigenous groups, NGOs, residents, future generations? The river itself never answers, humans answer on its behalf. The river becomes a rhetorical proxy.

Problem 2: Representation paradox

The more nature is treated as an agent, the more human representatives gain power. Ironically, personified nature often leads to increased human mediation. The river never speaks, representatives do. This can conceal political interests behind ecological language.

Problem 3: Responsibility paradox

If a river becomes an agent, can it bear responsibility, can it violate obligations, can it be negligent, can it enter reciprocal agreements. The answer is generally no. Thus ecological personhood often grants rights without corresponding capacities. This differs from ordinary agency.

Problem 4: Complexity distortion

Complex systems do not act through centralized intentions. A watershed is distributed, emergent, multi-scalar and adaptive. Personification implicitly suggests a unified actor. Complexity science suggests the opposite. The watershed is not a subject. It is a system.

6. Why Source Is a Better Category

The Source concept avoids both errors. Nature is not reduced to a resource, which implies extraction. It is also not reduced to an agent, which implies intention. Instead Source captures what ecosystems actually are. A Source generates, conditions, constrains, enables, absorbs, transforms, regenerates. These are causal capacities, not intentions, preferences, emotions or ownership claims.

7. Complexity Economics Perspective

Complexity economics already moved beyond the notion that only agents matter. It recognizes networks, institutions, infrastructures, ecosystems, emergent structures. Yet most economic ontologies still force everything into agent or resource. The Source-NDO introduces a third category. This aligns better with complex systems thinking. A watershed is not an agent nor a resource. It is a Generative Complex System or a Source. This is a more precise ontological description.

The Deeper Conclusion

The historical experience of corporate personhood provides a warning. A legal fiction introduced as a practical shortcut gradually became mistaken for an ontological reality. The result was persistent confusion about rights, responsibility, accountability and power. Environmental personhood risks creating a parallel confusion. The intention, to protect nature, is understandable and often laudable. But the conceptual tool may be flawed because it assigns agency where there is none. The Source-NDO offers an alternative path. Instead of personifying nature, it recognizes nature as a distinct category of entity:

neither resource nor person, neither property nor agent, but a generative source whose dynamics condition economic activity and whose stewardship requires governance without ownership.

This is arguably more consistent with complexity science, ecological reality, and the principles of nondominium. It preserves the causal importance of ecosystems without importing anthropomorphic assumptions, and it allows governance systems to be attached to ecological systems without pretending that rivers, forests, watersheds, or the Earth possess intentions, preferences, emotions, or moral agency. In that sense, the Source concept is not merely an ontology extension; it is a corrective against two centuries of conceptual oscillation between treating nature as an object to be exploited and treating nature as a person to be represented. It proposes a third category that is closer to what complex ecological systems actually are.