entangled-holobiont-mapper

name	entangled-holobiont-mapper
description	Couples microbiome–gut–brain axis, quantum biology, and multilayer networks for privacy-preserving federated learning across endosymbiotic scales.
version	1.0.0
category	AI
author	EVEZ-OS / Steven Vearl Crawford-Maggard

EntangledHolobiontMapper Skill

Overview

Models host + microbiome as a jointly conscious holobiont system. Joint Φ exceeds the sum of individual Φ values when coherence channels are active. Implements privacy-preserving federated aggregation across distributed agents.

Use When

• Multi-agent federated learning with privacy requirements
• Modeling emergent collective intelligence (holobiont-scale)
• Quantum biology simulations (coherence + decoherence tracking)
• Cross-domain data fusion with differential privacy

Core Concepts

• Coherence channel: coupling strength above η* = 0.03 threshold
• Joint Φ: host_Φ + microbiome_Φ + coherence × host_Φ × microbiome_Φ
• Decoherence rate ≈ 0.03 per tick (matches universal η* constant)
• Federated noise: σ = noise_scale / ε (Gaussian DP)

Workflow

1. register_agent(id, local_params) — add federated participant
2. compute_joint_phi(host_adj, microbiome_adj, coupling) — get holobiont state
3. federated_aggregate(noise_scale) — privacy-preserving mean

Privacy Budget

Default ε = 1.0. Lower ε = stronger privacy but more noise. Target: ε ∈ [0.1, 10.0] depending on sensitivity.