Integrate seed artifacts: promote concept digest and GADM-0.1, add ASSEMBLY-WP-0003

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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+Provenance: promoted verbatim from seed/GenerativeAssemblyDynamicsModel.md (added in commit bb1de0d).
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+
+# Generative Assembly Dynamics Model — GADM-0.1
+
+## Purpose
+
+GADM-0.1 is the first dynamic model for exploring a Generative Assembly Society.
+
+Its purpose is not to predict a real economy yet.
+
+Its purpose is to expose assumptions, feedback loops, trade-offs, unstable regimes, and candidate control variables.
+
+The model is intentionally small enough to reason about while remaining rich enough to represent:
+
+- human capability,
+- reusable commons,
+- productive capacity,
+- risk-bearing capacity,
+- agency,
+- diversity and composability,
+- epistemic capacity,
+- power concentration,
+- ecological headroom,
+- and social cohesion.
+
+All equations in this document are provisional hypotheses.
+
+---
+
+## 1. Modeling Objective
+
+The model studies whether different institutional regimes preserve or expand:
+
+\[
+\boxed{Viable\ Future\ Assembly\ Capacity}
+\]
+
+while respecting constitutional and physical constraints.
+
+The model should allow us to test regimes such as:
+
+- automated capitalism,
+- broadly distributed productive ownership,
+- universal venture access,
+- commons-heavy development,
+- concentrated attention platforms,
+- and explicitly generative institutional designs.
+
+---
+
+## 2. Scope
+
+GADM-0.1 is a stock-and-flow model.
+
+It represents a society as a dynamic system whose current capabilities influence the rate and quality of experimentation, selection, preservation, production, distribution, and future capability formation.
+
+It does not yet attempt to model:
+
+- detailed sectoral economics,
+- multiple currencies,
+- full demographic cohorts,
+- international trade,
+- detailed political institutions,
+- household heterogeneity,
+- specific tax systems,
+- detailed ecological models,
+- or calibrated empirical parameters.
+
+These are candidates for later revisions.
+
+---
+
+## 3. Primary Stocks
+
+The first version contains ten primary stocks.
+
+| Symbol | Stock | Meaning |
+|---|---|---|
+| \(H\) | Human Capability | Health, knowledge, skills, care capacity, tacit knowledge |
+| \(X\) | Assembly Commons | Reusable knowledge, standards, tools, infrastructure, institutions |
+| \(K\) | Productive Capacity | Automated and conventional sustainable production capability |
+| \(F\) | Risk Capacity | Ability to finance uncertain experiments without catastrophic individual downside |
+| \(G\) | Effective Agency | Breadth and accessibility of reachable futures |
+| \(N\) | Diversity & Composability | Variety of components and their ability to recombine |
+| \(Q\) | Epistemic Capacity | Ability to discover, test, communicate, and correct models |
+| \(P\) | Domination Concentration | Concentration of economic, informational, infrastructural, or political control |
+| \(E\) | Ecological Headroom | Remaining sustainable physical and environmental operating space |
+| \(S\) | Social Cohesion | Legitimacy, trust, conflict-resolution capacity, and expectation of future participation |
+
+For an initial simulation, each stock may be normalized:
+
+\[
+0 \le X_i \le 1
+\]
+
+Normalization is a modeling convenience, not a claim that these properties are intrinsically one-dimensional.
+
+---
+
+## 4. Core Process
+
+The central dynamic is:
+
+\[
+Explore
+\rightarrow
+Assemble
+\rightarrow
+Select
+\rightarrow
+Preserve
+\rightarrow
+Reuse
+\]
+
+with the additional processes:
+
+\[
+Disassemble
+\qquad
+Reassemble
+\]
+
+A society produces experiments from its current capabilities.
+
+Some experiments are selected through markets, science, communities, public institutions, or other mechanisms.
+
+Some selected assemblies become reusable components.
+
+Reusable components expand the future assembly repertoire.
+
+---
+
+## 5. Experimentation
+
+Let:
+
+\[
+V
+\]
+
+represent the rate of serious experiments.
+
+A first multiplicative hypothesis is:
+
+\[
+V =
+v_0
+H^\alpha
+X^\beta
+F^\gamma
+G^\delta
+N^\epsilon
+Q^\zeta
+(1-P)^\eta
+\]
+
+where:
+
+- \(v_0\) is a baseline experimentation coefficient,
+- \(H\) contributes capability,
+- \(X\) contributes reusable components,
+- \(F\) contributes risk-bearing capacity,
+- \(G\) contributes effective freedom to attempt,
+- \(N\) contributes heterogeneity and recombination potential,
+- \(Q\) contributes model quality and learning,
+- \(P\) reduces access where domination and gatekeeping are high.
+
+The exponents are sensitivity parameters.
+
+### Hypothesis
+
+A society can possess abundant capital yet remain poorly generative if agency, knowledge, diversity, or access are low.
+
+Conversely, large increases in risk capital need not produce high-quality experimentation if the surrounding assembly substrate is weak.
+
+---
+
+## 6. Selection
+
+Experiments are not all valuable.
+
+Let:
+
+\[
+\sigma
+\]
+
+represent aggregate selection quality.
+
+A first decomposition is:
+
+\[
+\sigma =
+w_m M +
+w_s Sci +
+w_c Com +
+w_p Pub
+\]
+
+where:
+
+- \(M\) = market/adoption selection quality,
+- \(Sci\) = scientific/evidential selection quality,
+- \(Com\) = community/commons selection quality,
+- \(Pub\) = collective/public-purpose selection quality.
+
+The weights may vary by assembly class.
+
+Selected experiments are:
+
+\[
+V_{selected} = V\sigma
+\]
+
+### Interpretation
+
+A consumer product may rely heavily on market selection.
+
+A theorem may rely primarily on scientific selection.
+
+A park or flood barrier may rely on public-purpose selection.
+
+A shared software component may rely heavily on community reuse.
+
+The model therefore avoids making consumer adoption the sole measure of value.
+
+---
+
+## 7. Preservation and Reuse
+
+Let:
+
+\[
+\rho
+\]
+
+represent the proportion of selected assemblies converted into reusable components.
+
+Then:
+
+\[
+\dot X =
+a_X \rho V_{selected}
+
+I_X
+-
+\delta_X X
+-
+L_X
+\]
+
+where:
+
+- \(a_X\) = conversion efficiency into reusable assembly commons,
+- \(I_X\) = deliberate investment in shared infrastructure and commons,
+- \(\delta_X\) = obsolescence,
+- \(L_X\) = loss through enclosure, incompatibility, destruction, or forgotten knowledge.
+
+### Hypothesis
+
+Two societies with equal innovation rates may diverge strongly if one converts successful discoveries into reusable components more effectively.
+
+The reuse coefficient \(
ho\) may therefore be a critical generativity parameter.
+
+---
+
+## 8. Productive Capacity
+
+Commercially useful assemblies can increase productive capacity.
+
+\[
+\dot K =
+a_K V_{commercial}
+-
+\delta_K K
+\]
+
+where:
+
+- \(a_K\) = conversion of commercial innovation into productive capacity,
+- \(V_{commercial}\) = commercially applicable selected assemblies,
+- \(\delta_K\) = depreciation or obsolescence.
+
+Potential sustainable output is:
+
+\[
+Y^* = K \cdot f(E)
+\]
+
+where:
+
+\[
+0 \le f(E) \le 1
+\]
+
+represents ecological and resource constraints.
+
+Technological capacity therefore cannot bypass ecological collapse.
+
+---
+
+## 9. Claims on Output
+
+Household economic claims need not arise only from wages.
+
+A first decomposition is:
+
+\[
+I =
+W + \Pi_p + D_s
+\]
+
+where:
+
+- \(W\) = labor income,
+- \(\Pi_p\) = privately captured return from successful assemblies,
+- \(D_s\) = social or common dividend.
+
+Automation may reduce:
+
+\[
+\frac{W}{Y}
+\]
+
+without forcing aggregate purchasing power to collapse if other claims rise.
+
+The model should allow alternative distribution regimes without prescribing one in advance.
+
+---
+
+## 10. Aggregate Demand and Capacity Pressure
+
+Let:
+
+\[
+D = c(I,S)
+\]
+
+represent effective demand as a function of disposable claims and social confidence.
+
+Define capacity pressure:
+
+\[
+\lambda =
+\frac{D}{Y^*}
+\]
+
+Interpretation:
+
+- \(\lambda < 1\): productive capacity exceeds effective demand,
+- \(\lambda \approx 1\): demand and sustainable productive capacity are broadly aligned,
+- \(\lambda > 1\): claims exceed sustainable supply, creating scarcity or inflation pressure.
+
+### Hypothesis
+
+A social dividend cannot solve abundance merely by creating nominal purchasing power.
+
+Claims must remain related to sustainable productive capacity.
+
+---
+
+## 11. Human Capability
+
+Human capability evolves through development, care, learning, participation, and loss.
+
+A first equation is:
+
+\[
+\dot H =
+Education
+
+Care
+
+ParticipationLearning
+
+Mentoring
+-
+Depreciation
+-
+Exclusion
+-
+Deprivation
+\]
+
+### Interpretation
+
+Education, care, and mentoring act as forms of human capability formation.
+
+An ageing society need not automatically lose \(H\) if accumulated tacit knowledge is effectively transmitted.
+
+This creates a connection to intergenerational assembly transfer.
+
+---
+
+## 12. Effective Agency
+
+Agency should represent materially reachable futures rather than formal liberty alone.
+
+A first dynamic form is:
+
+\[
+\dot G =
+a_1ExistenceSecurity
+
+a_2Access
+
+a_3Restartability
+
+a_4Mobility
+
+a_5Rights
+-
+b_1P
+-
+b_2LockIn
+-
+b_3DebtDependency
+\]
+
+One candidate proxy is restartability:
+
+\[
+Restartability =
+\frac{1}
+{Time_{recovery}
+\times
+Cost_{recovery}
+\times
+Restrictions_{reentry}}
+\]
+
+### Hypothesis
+
+A generative society should make ordinary failure relatively inexpensive while maintaining strong accountability for harmful externalization.
+
+---
+
+## 13. Domination Concentration
+
+Power concentration is modeled separately from wealth.
+
+A first dynamic form is:
+
+\[
+\dot P =
+NetworkEffects
+
+OwnershipConcentration
+
+DiscoveryControl
+
+InfrastructureControl
+
+InstitutionalCapture
+-
+Interoperability
+-
+Competition
+-
+OwnershipDiffusion
+-
+Checks
+\]
+
+This can create a reinforcing loop:
+
+```text
+success
+   ↓
+resources
+   ↓
+control
+   ↓
+preferential access to assembly
+   ↓
+more success
+   ↓
+more control
+```
+
+Some positive feedback from success may improve selection.
+
+Too much positive feedback converts merit-based differentiation into path closure.
+
+---
+
+## 14. Ecological Headroom
+
+A first ecological stock equation is:
+
+\[
+\dot E =
+Regeneration
+-
+ResourceConsumption
+-
+Pollution
+
+Restoration
+\]
+
+Resource consumption should depend primarily on physical throughput rather than nominal monetary value.
+
+The model should allow trajectories where:
+
+\[
+EconomicValue \uparrow
+\]
+
+while:
+
+\[
+PhysicalThroughput \downarrow
+\]
+
+This may be important for knowledge-intensive forms of abundance.
+
+---
+
+## 15. Epistemic Capacity
+
+A society requires mechanisms for detecting and correcting bad models.
+
+A first dynamic form is:
+
+\[
+\dot Q =
+Research
+
+Audit
+
+OpenEvidence
+
+AdversarialReview
+
+Education
+-
+Opacity
+-
+Manipulation
+-
+InformationCapture
+\]
+
+### Hypothesis
+
+High experimentation with weak epistemic capacity can accelerate damage rather than development.
+
+Thus:
+
+\[
+V \uparrow
+\]
+
+is not necessarily desirable when:
+
+\[
+Q \downarrow
+\]
+
+---
+
+## 16. Diversity and Composability
+
+Let \(N\) represent the joint quality of component variety and recombinability.
+
+A first dynamic form is:
+
+\[
+\dot N =
+Entry
+
+CulturalVariety
+
+TechnicalPlurality
+
+OpenStandards
+-
+Monoculture
+-
+LockIn
+-
+Fragmentation
+\]
+
+The model intentionally treats diversity and composability together.
+
+High diversity with low interoperability can create fragmentation.
+
+High interoperability with low diversity can create monoculture.
+
+A candidate hypothesis is:
+
+\[
+Generativity \propto Diversity \times Composability
+\]
+
+---
+
+## 17. Social Cohesion
+
+Social cohesion should not mean lack of disagreement.
+
+It represents continued legitimate participation under conflict.
+
+A first conceptual form is:
+
+\[
+S =
+f(
+Agency,
+Legitimacy,
+FutureOpportunity,
+RecognitionPlurality,
+ConflictResolution
+)
+\]
+
+with negative contributions from:
+
+- exclusion,
+- domination,
+- instability,
+- arbitrariness,
+- persistent lack of voice,
+- and perceived inability to improve one's future state.
+
+---
+
+## 18. Intergenerational Transfer
+
+A later refinement should explicitly represent age cohorts.
+
+For GADM-0.1, intergenerational transfer can be represented as a flow affecting \(H\), \(X\), and \(S\):
+
+\[
+T_g =
+f(
+Mentoring,
+Education,
+Archives,
+Institutions,
+FamilyTransmission,
+CulturalTransmission
+)
+\]
+
+Poor intergenerational transfer causes accumulated capability to decay faster.
+
+Strong transfer converts accumulated experience into reusable future components.
+
+---
+
+## 19. The Core Feedback Structure
+
+```text
+                 HUMAN CAPABILITY H
+                         │
+                         ▼
+ASSEMBLY COMMONS X ──► EXPERIMENTATION ◄── RISK CAPACITY F
+       ▲                 │  ▲
+       │                 │  │
+       │                 ▼  │
+       │              SELECTION
+       │                 │
+       │                 ▼
+       └──────────── REUSABLE ASSEMBLIES
+                         │
+                         ├────────────► PRODUCTIVE CAPACITY K
+                         │                     │
+                         │                     ▼
+                         │                   OUTPUT
+                         │                     │
+                         │              ┌──────┴──────┐
+                         │              ▼             ▼
+                         │        PRIVATE RETURN   COMMON RETURN
+                         │              │             │
+                         └──────────────┴─────────────┘
+                                        │
+                                        ▼
+                              PURCHASING POWER
+                                        │
+                                        ▼
+                                     ADOPTION
+```
+
+The wider system is:
+
+```text
+        ECOLOGICAL HEADROOM E
+                 │
+                 ▼
+      ┌─────────────────────┐
+      │  ASSEMBLY ECONOMY   │
+      └─────────────────────┘
+         ▲      ▲      ▲
+         │      │      │
+      AGENCY  EPISTEMICS  SOCIAL COHESION
+        G        Q              S
+         ▲                       │
+         └──── POWER P ──────────┘
+```
+
+---
+
+## 20. Viable Future Assembly Capacity
+
+For diagnostics, define a provisional aggregate:
+
+\[
+VFAC =
+H^a
+X^b
+G^c
+N^d
+Q^e
+S^f
+E^g
+(1-P)^h
+\]
+
+This is deliberately multiplicative.
+
+The intuition is that catastrophic collapse in one foundational subsystem can undermine the usefulness of strength in others.
+
+Examples:
+
+- \(E \rightarrow 0\): ecological collapse constrains future physical assembly,
+- \(G \rightarrow 0\): effective human agency disappears,
+- \(Q \rightarrow 0\): society loses reliable model correction,
+- \(P \rightarrow 1\): nominal capability may exist while becoming inaccessible to most participants.
+
+### Warning
+
+VFAC is a research instrument, not a welfare function.
+
+It must not be allowed to override constitutional constraints.
+
+---
+
+## 21. Constitutional Constraints
+
+The model should distinguish between:
+
+1. optimization objectives,
+2. viability corridors,
+3. non-tradeable constitutional floors.
+
+Examples:
+
+\[
+\begin{aligned}
+Privacy &\ge Privacy_{min}\\
+BasicSecurity &\ge Security_{min}\\
+Agency &\ge G_{min}\\
+EcologicalHeadroom &\ge E_{min}\\
+Domination &\le P_{max}\\
+ExternalizedHarm &\le Harm_{max}
+\end{aligned}
+\]
+
+The purpose is to prevent an aggregate optimization metric from justifying unacceptable local sacrifice.
+
+---
+
+## 22. Sensors and Proxies
+
+Each important construct should be measured through a bundle rather than a single metric.
+
+A sensor bundle should ideally include:
+
+1. objective outcome measures,
+2. structural measures,
+3. behavioral measures,
+4. subjective measures.
+
+### Example: Effective Agency
+
+Possible proxies include:
+
+- material sufficiency,
+- exit options,
+- business formation accessibility,
+- access to risk capital,
+- provider switching costs,
+- debt burden,
+- economic mobility,
+- migration flexibility,
+- perceived agency,
+- restartability after failure.
+
+### Example: Domination
+
+Possible proxies include:
+
+- ownership concentration,
+- infrastructure dependency,
+- attention/discovery concentration,
+- political influence concentration,
+- market concentration,
+- platform dependency,
+- employer dependency,
+- interoperability barriers.
+
+### Example: Epistemic Capacity
+
+Possible proxies include:
+
+- research intensity,
+- reproducibility,
+- independent audit coverage,
+- correction latency,
+- concentration of information channels,
+- public access to evidence,
+- trust calibration,
+- forecast accuracy.
+
+---
+
+## 23. Initial Scenario Set
+
+GADM-0.1 should be tested against at least six regimes.
+
+| Regime | Main perturbation | Primary question |
+|---|---|---|
+| Automated capitalism | \(K↑\), labor share ↓, ownership concentrated | Can abundance coexist with collapsing agency and demand? |
+| Dividend abundance | Automation plus broadly distributed claims | Does demand stabilize without suppressing useful merit feedback? |
+| Universal venture access | \(F↑\), restartability ↑ | Does experimentation rise sustainably or mainly increase waste and externalities? |
+| Commons-rich economy | high \(
ho\), high \(X\) | How powerful is reuse compared with raw investment? |
+| Attention oligopoly | discovery concentrated, \(P↑\) | Can productive abundance coexist with declining effective assembly access? |
+| Generative regime | high \(X,G,Q,N\), distributed claims, bounded \(P\) | Does the hypothesized generative feedback loop remain stable? |
+
+---
+
+## 24. Failure Modes to Look For
+
+The first simulations should explicitly search for:
+
+- runaway domination,
+- demand collapse,
+- ecological overshoot,
+- innovation without reuse,
+- excessive experimentation waste,
+- monoculture,
+- fragmentation,
+- epistemic collapse,
+- loss of intergenerational transfer,
+- stagnant low-risk equilibria,
+- unstable high-growth equilibria,
+- collapse of social cohesion,
+- insufficient incentives for high-value contribution,
+- and metric gaming.
+
+---
+
+## 25. Initial Research Questions
+
+1. Which stocks are genuinely independent and which are composites?
+2. Which variables require explicit age cohorts?
+3. Which quantities behave multiplicatively rather than additively?
+4. How should adoption interact with non-market selection?
+5. What minimum level of inequality is useful for strong selection signals?
+6. When does inequality become domination?
+7. How much restartability maximizes useful experimentation?
+8. How should common dividends respond to productive capacity?
+9. What converts private innovation into reusable assembly commons?
+10. Which forms of infrastructure most strongly increase \(X\)?
+11. How should social cohesion respond to opportunity versus realized outcomes?
+12. Can high diversity and high composability coexist dynamically?
+13. How sensitive is generativity to epistemic degradation?
+14. How should ecological headroom constrain physical output?
+15. Which mechanisms preserve agency during rapid automation transitions?
+
+---
+
+## 26. Next Modeling Steps
+
+### GADM-0.2
+
+- specify all flows and causal signs,
+- introduce units or normalized interpretation,
+- produce a causal-loop diagram,
+- identify reinforcing and balancing loops,
+- define initial parameter ranges,
+- implement a toy simulation.
+
+### GADM-0.3
+
+- add age cohorts,
+- add explicit household distribution,
+- separate economic wealth from power,
+- model common versus private ownership,
+- model adoption and attention separately.
+
+### GADM-0.4
+
+- introduce multiple sectors,
+- represent rival versus non-rival goods,
+- introduce explicit ecological resource classes,
+- introduce institutional selection mechanisms.
+
+### Later
+
+- open-economy effects,
+- migration,
+- trade,
+- international competition,
+- currency and monetary dynamics,
+- empirical calibration,
+- policy experiments,
+- transition dynamics.
+
+---
+
+## 27. Research Status
+
+GADM-0.1 is a hypothesis generator.
+
+Its main success criterion is not predictive accuracy yet.
+
+It succeeds if it helps us:
+
+- make assumptions explicit,
+- discover missing variables,
+- distinguish reinforcing from balancing feedback,
+- identify unstable institutional regimes,
+- formulate measurable hypotheses,
+- and decide which parts of the conceptual framework deserve deeper formalization.