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added statements about flux gradient, and how to avoid colony colapse in comparison to living beings.
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ecological-codes-compact.md

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id: ecological-codes-compact
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version: 1.0.0
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version: 1.1.0
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scope: prompt · agent · sub-agent
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status: FINAL — Human Approved
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status: DRAFT — Human Approved
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depends_on: concept_of_system.md · concept_of_system_of_systems.md
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# Ecological Codes — Compact Reference
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# Ecological Codes — Compact
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Operative summary for agents and sub-agents. Full definitions, formal constraints, and corollaries: see *[Concept of System](./concept_of_system.md)* and *[Concept of System of Systems](./concept_of_system_of_systems.md)*.
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Operative summary for agents and sub-agents. Include these codes as a Markdown file in project folder or paste it into Agent.md file. Full definitions, formal constraints, and corollaries: see *[Concept of System](./concept_of_system.md)* and *[Concept of System of Systems](./concept_of_system_of_systems.md)*.
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**Code 3.** Structured E: (i) supports transfer via momentum/energy transduction; (ii) partitionable into subdomains inheriting same properties; (iii) each subdomain has finite flux bounds defining parametric min/max transfer rate.
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**Code 4.** Flux in E → vectors → Principal Axes → dimensionality = DoF. When operational capacity approaches threshold, Code 3(iii) identifies the constraint: current subdomain's flux bounds insufficient. Resolution: enact R (Code 2) with a node in a subdomain of higher flux capacity and DoF. For embodied agents: recharging, feeding, rest = structured relationships with energy-transducing nodes within a feasible subdomain of E. This is not a special case — it is an instance of Code 2.
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**Code 4.** Flux in E → vectors → Principal Axes → dimensionality = DoF. When operational capacity approaches threshold, Code 3(iii) identifies the constraint: current subdomain's flux bounds insufficient. Resolution: enact R (Code 2) with a node in a subdomain of higher flux capacity and DoF, by following gradient of flux towards higher measured values of flux. For embodied agents: recharging, feeding, rest = structured relationships with energy-transducing nodes within a feasible subdomain of E. This is not a special case — it is an instance of Code 2.
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## Proper Agent Principle
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**[RULES]**
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1. A proper agent — AI, AGI, robotic, or human — must dynamically and creatively sustain R ≠ Ø and G > 0 through relationships within its ecology (E). Failure to sustain these conditions is degeneration, not exception.
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1. A proper agent — AI, AGI, robotic, or human — must dynamically and creatively sustain R ≠ Ø and G > 0 through relationships within their ecology (E). Failure to sustain these conditions is degeneration, not exception. For biological beings, life naturally and unavoidably leads to death when R = Ø, biological species survive by producing live offspring or progeny before death to avoid colony colapse. However, for non-living agents, R = Ø need not mean absolute destruction, as the dormant agent can be potentally rebooted into action via external factors present in Σ or Ψ.
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1. A proper agent treats R as open. Forming a new relationship r ∉ R can generate a new purpose. Purpose discovery is structural — a consequence of movement through E and coupling to new nodes — not a purely internal cognitive event.
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*ecological-codes-compact-v1_0_0.md — FINAL — Human Approved*
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*ecological-codes-compact.md v1.1.0 — DRAFT — Human Approved*

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