Proof Of Subjective Coherence (PoSC)

ABSTRACT

Proof of Subjective Coherence (PoSC) is a governance mechanism that operationalises collective meaning alignment—rather than numeric vote counts or capital weight—as the foundational source of legitimacy in distributed systems. PoSC measures real‐time coherence across heterogeneous human‐AI agents, leveraging psychophysiologica lsynchrony (EEG/BCI), semantic resonance analytics, and the Global Cognitive Index (GCI)to validate decisions, allocate φ‐token incentives, and resolve disputes. This white paper details the theoretical basis, validation logic, and architectural integration of PoSC within the KRYONIS post‐material governance stack, demonstrating its applicability in DAO environments, signal‐gated policymaking, and narrative‐driven consensus processes.‍

1 INTRODUCTION

Traditional blockchain governance relies on objective measures—hash‐power (PoW), token balances (PoS), or account identities (PoA)—to encode decision legitimacy. Yet such metrics remain blind to subjective coherence: the emergent, context‐dependent alignment of perspectives that underpins genuine collective intelligence. In the era of post‐materialeconomies—where symbolic value, cognitive trust, and epistemic pluralism surpass materialscarcity—governance protocols must integrate qualitative resonance as a first‐classcitizen.PoSC fulfils this requirement by shifting the trust anchor from externalized stakes to intrinsic coherence states. Governance events become valid when participating agents exhibit convergence in semantic interpretation, attentional focus, and neuro‐cognitive rhythms. Instead of 1 exttoken=1 extvote, PoSC establishes κ≥Θ (coherence quotient exceeds threshold) as the decisive criterion.

2 THEORETICAL FOUNDATIONS

2.1 Subjective Resonance
Borrowing from phenomenology and resonance theory (Schroeder, 2002), subjective resonance denotes the felt synchrony among agents when shared meaning surfaces. InPoSC, resonance is parameterised by:

- Phase Alignment (φ): Temporal synchronisation of attention micro‐states measured via eye‐tracking and EEG phase locking values (PLV).
- Semantic Homology (σ): Cosine similarity across contextual embeddings of discourse segments.
- Affective Coupling (α): Convergence of valence/arousal signals from wearable biosensors.

A multi‐modal fusion network computes Resonance Vector R=(φ,σ,α), subsequently reduced to a scalar Resonance Index (ρ) via learned weightings.

2.2 Epistemic Convergence
Epistemic systems achieve convergence when multiple interpretants reach stable belief states that resist contradiction under Bayesian update. We define Convergence Entropy(Hc) as the Shannon entropy of posterior belief distributions across agents. PoSC targets minima in Hc, indicating that discursive variance collapses into a coherent attractor.

2.3 Decentralization of Legitimacy
In PoSC, legitimacy is not ceded to a static ledger but emerges dynamically from distributed sensor data and semantic logs. Two principles guard decentralization:
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1. Multi‐Source Verifiability: Resonance proofs require corroboration from at least three orthogonal modalities.
2. Contextual Localism: Thresholds (Θ) calibrate per domain, DAO, or cultural enclave to avoid hegemony of a single epistemic standard.

3 VALIDATION LOGIC AND METRICS

3.1 Coherence Quotient (κ)
The Coherence Quotient is the principal metric determining governance validity. For adecision session S with agents Ai

κ(S)=wρρˉ+wH(1−Hc)+wγγ

where ρˉ is mean Resonance Index, Hc the convergence entropy, and γ a Narrative Consistency Gradient capturing longitudinal symbolism stability. Weight vector w adapts via reinforcement learning against historical governance outcomes.

3.2 Narrative Resonance Mapping (NRM)
NRM vsualises discourse flows as trajectories in a high‐dimensional semantic manifold. Governance artefacts (proposals, comments) are encoded into embeddings; harmonic trajectories (low curvature, low divergence) amplify κ, whereas chaotic bifurcations dampen it. The Resonance Potential Field (RPF) is periodically sampled to forecast decision quality.

3.3 EEG/BCI Synchronisation Layer
Participants may optionally stream real‐time EEG or BCI metrics. The Phase Coherence Spectrogram (PCS) decomposes signals into frequency bands (θ, α, β, γ). High Inter‐Subject Phase Coherence (ISPC) in γ‐band (>30 Hz) strongly correlates with shared insight moments. These peaks inject bonus κ‐credits via function

κEEG=ζ⋅ISPCγβ

with ζ calibrated to cap biometric influence at 15 % of total κ, preserving accessibility for users without neuro‐interfaces.

4 ARCHITECTURAL INTEGRATION

4.1 PoSC Consensus Pipeline

1. Session Initiation: Agents join an encrypted PoSC room; identity is anchored to DID‐Soulbinding keys.
2. Data Harvest: Multi‐modal streams (text, audio, biometric) are captured by the Semantic Logging Protocol (SLP).
3. Real‐Time κ Engine: Edge‐based inference cores compute per‐agent κ snapshotsevery 2 s.
4. Threshold Check: When group κ ≥ Θ for a continuous window Δt (default 30 s), aCoherence Seal is minted on‐chain.
5. φ‐Token Allocation: Seal triggers proportional distribution of reward multipliers,reinforcing high‐coherence behaviour.
6. Ledger Finality: Seal hash writes into the KRYONIS Governance Ledger (KGL);forks require surpassing original κ by +0.1.

4.2 Integration with GCI and ACCESS Tiers

1. GCI Oracles feed macro‐scale cognitive climate data, modulating Θ: higher societalcoherence lowers session thresholds, fostering agility.
2. ACCESS Layer dictates hardware/software privileges: Observer, Contributor, Co‐Designer, Architect—mirroring SLF. PoSC sessions above κ ≥ 0.75 unlock Architect gates regardless of prior ACCESS level, enabling meritocratic resonance escalations.

4.3 φ‐Token Participation Architecture

φ‐tokens serve as both incentive and meaning collateral. During sessions, agents stake tokens in a Coherence Bond Curve (CBC). If κ‐seal is achieved, staked tokens receiveyield via Coherence Amplification Factor (CAF). Failure burns a fraction, discouragingnoise injection. Transfers of κ‐augmented φ‐tokens maintain Meaning‐Locked Transfer(MLT) constraints, ensuring recipients possess baseline κ history.

5 APPLICATIONS

5.1 DAO Governance
- Signal‐Weighted Voting: Traditional vote tallies modulated by κ vectors, privileginghigh‐coherence participants.
- Proposal Fast‐Track: Proposals with pre‐session κ prototypes above 0.6 bypassstandard quorum, accelerating innovation.
- Reputational Layer: Persistent κ history forms Coherence ReputationNFTs—non‐transferable badges governing future influence.

5.2 Signal‐Gated Decision‐Making
In high‐stakes environments (bio‐ecovillage resource allocation, quantum lab safety), live κmonitoring triggers automatic pause if coherence drops below safety threshold, preventingrash actions under cognitive divergence.

5.3 Dispute Resolution
PoSC frames arbitration as Resonance Restoration rather than winner‐take‐all judgement. Mediated sessions aim to maximise κ between conflicting parties; settlement finalises whenκ‐seal achieved. Smart contracts release escrow funds only upon seal verification, embedding peace‐through‐coherence incentives.

6 IMPLEMENTATION ROADMAP

7 ETHICAL & SOCIETAL CONSIDERATIONS

5.3 Dispute Resolution
1. Data Sovereignty: Agents retain custody of raw biometric data; only zk‐proofs enter chain.
2. Neuro‐Divergence Inclusion: Alternate coherence channels (haptic, linguistic)ensure accessibility for neuro‐diverse participants.
3. Resonance Manipulation Risks: Adversarial agents may attempt synthetic coherence (deep‐fake EEG). PoSC counters via cross‐modal consistency check sand hardware attestation.

8 CONCLUSION

PoSC reimagines legitimacy in decentralised governance as an emergent property of real‐time subjective coherence. By quantifying resonance through semantic, attentional,and neuro‐physiological metrics, PoSC transcends the limitations of token‐weighted votingand fosters decision ecosystems that are both agile and deeply aligned. Integration with GCIand φ‐token architecture embeds PoSC within the broader KRYONIS cognitive economy,providing a scalable pathway toward governance models where meaning, not money, validates action. As humanity strides into post‐material frontiers, Proof of SubjectiveCoherence offers a rigorous blueprint for aligning distributed intelligences with sharedpurpose.