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May 27, 20260 citationsOpen Access

Aromatic Syntropic Equilibrium: A game-theoretic proof that conscious networks outperform Nash

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CCCarlos Henrique De Morais Camporezi

Key Points

  • Examine how conscious networks can outperform traditional equilibria in dynamic environments.
  • Introduces and defines the Overhead Theorem for open systems.
  • Proposes Aromatic Syntropic Equilibrium (ASE) as a topology for conscious networks.
  • Outlines empirical testing protocol for WeGI involving multiple researchers across domains.
  • ASE enables networks to maintain low-enforcement overhead while achieving superadditive value.
  • Conscious networks can support low-density rings, unlike machine networks that collapse without financial incentives.
  • Framework seeks empirical validation through collaboration on abandoned research fragments.

Abstract

ABSTRACT Nash Equilibrium and Pareto Optimality are flawless solutions for closed systems with fixed value. However, real interactions between cognitive agents happen in open systems where value is created in the act of integration. This working paper introduces the Overhead Theorem. It derives that any equilibrium requiring central enforcement accumulates maintenance costs monotonically as environmental complexity grows. To resolve this, I propose Aromatic Syntropic Equilibrium (ASE). ASE describes networks of agents in locally closed cycles. It is the unique topology that sustains zero enforcement overhead while generating superadditive value. The framework subsumes Topkis supermodularity as the static degenerate case where the environmental change rate is zero. There is also a critical distinction between structurally decentralized systems and syntropic ones. BitTorrent has the correct topology, but its nodes are machines. Low-density rings in BitTorrent die when the financial incentive disappears because no node possesses the cognitive integration to choose to remain. The core empirical claim here is that networks of conscious nodes can sustain these low-density rings where machine networks inevitably collapse. WeGI is the protocol currently being built to test this exact dynamic. AUTHOR'S NOTE: OPEN CALL FOR EMPIRICAL TESTING The mathematical proofs in this current draft are structurally sound but remain proof sketches. They require formal review by someone with a strong background in game theory or network theory. I am publishing the working paper now because launching the empirical test is more urgent than polishing the formal proof. The first live test of the framework requires 9 researchers across three broad domains (life sciences, formal sciences, and social sciences) who have a discarded paper or an abandoned research line. Specifically, I am looking for work where the main experiment failed but a specific methodological fragment remains valid and unused. The protocol takes 8 weeks. Each researcher extracts the valid fragment from their discarded work in WeGI sessions and translates it into domain-neutral language. The system then identifies complementary fragments across domains, producing synthesis documents with cryptographic authorship timestamps originating from the very first fragment. If you: Have a discarded paper with a methodologically sound fragment that never found its context; Work in a domain different from your current collaborators; Are willing to describe an intellectual impasse precisely rather than a polished conclusion. Email hello@wegi.network with a one-paragraph description of the fragment you would bring. Full documentation and the architecture of the empirical test protocol are available at wegi.network/docs.

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Cite This Study

Carlos Henrique De Morais Camporezi (2026) studied this question.

synapsesocial.com/papers/6a168a4b0c924ddd1bd58fa8https://doi.org/10.5281/zenodo.20386740
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