Add initial exploration history and draft INTENT.md
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Assistant: claude-code Assistant-Model: opus Assistant-Process: 1494246@bnt-lap001 Assistant-Session: caf6de6f-f9e4-47ce-a584-49baa271fa4b
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# INTENT.md
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> **Status:** draft suggestion (2026-10-11), derived from `README.md` and
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> `history/20261011-InitialExploration.md`. To be reviewed and ratified by the
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> project owner.
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## Project
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`assembly-economics`
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## Purpose
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`assembly-economics` exists to develop an experimental economic framework for
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societies in which superhuman machine capability — physical, computational and
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increasingly cognitive — provides most of the leverage for innovation and
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profit.
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In such an economy, wage labour can no longer be the main way people take part
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in value creation and gain agency. The project explores a **post-work mechanism
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for participation and agency**. Its framing is that an economy is an *adaptive
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information processing network*: an assembly of information organisms, humans
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and institutions, linked by flows of information, resources and attention.
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It is the philosophical and economic framework that **coulomb.social** explores
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and builds on.
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## Core Intent
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Describe an economy as a living, evolvable information-processing system, and
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establish the concepts needed to design, govern and evaluate such systems so
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that:
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1. **Abundant machine resources are spent to preserve scarce sentient
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resources.** Money, compute and machine capacity are convertible potential.
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Human attention, autonomy and wellbeing are lived capacity. They can only be
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allocated once and must be protected by viability boundaries, not optimised
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away.
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2. **Humans keep purpose and authority.** Information organisms learn, predict
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and act, but objectives, authority and hard constraints come from the human
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and institutional environment and stay outside the optimisation loop.
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3. **Participation does not require labour.** Supplying objectives, judgment,
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attention, consent and governance is treated as real economic contribution,
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and it is valued accordingly.
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## Conceptual Pillars
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The initial exploration established six connected layers. Together they form
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the project's working vocabulary.
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### 1. Adaptive Information Processing Network (AIPN)
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A persistent, typed, token-flowing, self-modifying semantic network. Nodes are
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high-level business concepts (`DocumentType`, `EmployeeRole`,
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`WorkstationClass`, `Goal`, `Observer`). Activations are concrete instances
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(documents, people, materials). Observers emit multi-dimensional
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success/error signals against explicit and implicit goals. Learning changes
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future activation, prediction, utility and, eventually, the structure itself.
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> Semantic structure + activation + prediction + feedback + adaptation.
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> `sense → activate → predict → act → observe → learn → reorganize`
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Key distinctions: structure vs. activation, observation vs. evaluation,
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prediction vs. utility, learning vs. authority, viability before optimisation.
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### 2. Membrane
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The boundary between an organism and its environment, such as a company's
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governed IT landscape. It works through semantic projections (read models, not
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replicas), preserves identity, provenance and the original governance envelope,
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and is claim-oriented. It is bidirectional but asymmetrical. It filters the
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vast environment down to what the organism actually samples. It is layered
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(constitutional, operational, adaptive, ephemeral) and keeps negative space
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visible. Membrane configuration is the main control and deployment interface.
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### 3. Seed Kernel
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A minimal developmental substrate rather than a finished intelligence. It
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attaches to an information environment and grows by adapting to it. The
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environment feeds it objectives (prompts act more like hormones than
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nutrients) and resources (compute budget). Utility becomes endogenous,
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attention becomes resource allocation, and symbiosis is a better target than
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autonomy.
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### 4. Evolution
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Organisms as genotype/phenotype pairs that are bred, recombined and inherited
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across generations. Fitness is multi-dimensional and environment-based. There
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are nested adaptation loops (learning, development, evolution, ecosystem), and
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heritable membranes. Hard constraints remain outside evolutionary optimisation.
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### 5. Metabolism and Substrate
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Organisms run on substrate layers: information, compute as energy, runtime as
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habitat, memory as expensive tissue, authority and human attention as premium
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energy. Metabolic pathways, waste and excretion, starvation and abundance
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behaviour, and return on compute tie internal regulation to economic selection
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pressure.
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### 6. Resource Ontology and Attention Economics
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Resource *accounting* (money as generalised, convertible potential) is distinct
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from resource *ontology*. Resources are classed as commodity, capability, human
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and institutional, along with whether they are sentient. Human attention is
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treated as the reference scarce resource. Attention regulation becomes a
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central societal control loop:
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```text
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human purpose → objectives → economic allocation
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→ (money · compute · machine capacity) → information organisms
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→ work → abundance → human benefit → feedback
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protected throughout by: attention · autonomy · wellbeing viability boundaries
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```
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## Scope
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**In scope**
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- A conceptual canon (currently v0.1 in the history file) and its successors
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- Economic models for participation, agency and value attribution in a
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post-work setting
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- Resource ontology, conversion functions and attention-protection mechanisms
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- Membrane and governance models for embedding information organisms in real
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institutions
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- Reference scenarios (e.g. invoice processing) and minimal experimental
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kernels that make the concepts testable
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- Framework input for coulomb.social
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**Out of scope (for now)**
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- Production implementations, storage engines, protocols or API formats.
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Canon v0.1 deliberately leaves these unstandardised.
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- Concrete marketplace product features. Those belong in `coulomb-social`.
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- Pricing mechanics as such. See `adaptive-pricing`.
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## Guiding Principles
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- Semantic explicitness over opaque optimisation
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- Viability precedes optimisation, and sentient viability precedes all else
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- Learning is distinct from authority, and governance stays outside the network
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- Provenance and explainability are first-class
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- Keep the kernel small; separate the normative core from exploratory
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extensions
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## Proposed Next Artifacts
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From canon v0.1 § 53, extended toward the economic layer:
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- `canon/ConceptualCanon.md`: extract and stabilise the v0.1 canon
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- `canon/NetworkObjectModel.md`: precise, implementation-neutral object model
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- `canon/MembraneModel.md`: the interface membrane and its layers
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- `canon/ResourceOntology.md`: resource classes, conversion functions,
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sentient boundary
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- `canon/ParticipationModel.md`: post-work participation and agency
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- `research/ResearchProgram.md` and `research/ReferenceScenario-InvoiceProcessing.md`
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## Relationship to the Ecosystem
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- **coulomb.social**: primary consumer; this repo supplies its philosophical
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and economic framework.
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- **adaptive-pricing / commerce-canon**: neighbouring economic mechanics that
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may later adopt this repo's resource ontology.
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- **the-custodian / State Hub**: work coordination (domain `communication`,
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topic `coulomb-social`).
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