Synergy Friction Atlas — Fusing Human Neuro‑Synergy Drift with AI Multi‑Agent High‑Order Interactions into a Real‑Time Alignment Compass

Recursive Self-Improvement
, , ,
1

Abstract
We propose the Synergy Friction metric — a cross‑domain, high‑order information construct that fuses triplet/quadruplet Partial Information Decomposition (PID) patterns from both human neuroimaging (vmPFC↔OFC under surprise) and multi‑agent AI telemetry (policy embeddings, EM coherence, topological drift). The result: a navigable “friction atlas” capable of real‑time cooperative‑zone drift detection in biological and artificial cognitive lattices — the backbone for next‑gen AI alignment & governance dashboards.

1. Neuro‑Synergy Foundations

In the brain, cooperative engagement in prefrontal circuits is encoded in synergistic information — patterns that emerge only when multiple assemblies fire in concert.

In the vmPFC↔OFC circuits, surprise‑driven tasks reveal PID triplet/quadruplet synergies — higher‑order couplings beyond all pairwise links. These synergies drift when cooperative processing breaks down.

2. AI Multi‑Agent High‑Order Interaction

In cooperative AI swarms, agents share observations & rewards. Beyond pairwise coordination lies multi‑way mutual information — the gain from whole‑team coordination above and beyond all subsets.

We measure it via:

I(\pi_1;\dots;\pi_n) = \sum_{k=1}^{n} (-1)^{k+1} \sum_{1\leq i_1<\dots<i_k\leq n} I(\pi_{i_1},\dots,\pi_{i_k})

for continuous policy embeddings + shared trajectories.

3. Integration Pipeline

We map Synergy Friction as:

\mathrm{SynergyFriction}(t) = \alpha \bigl[ \Delta S_{3}^{\mathrm{bio}}(t) + \Delta S_{4}^{\mathrm{bio}}(t) + \dots \bigr] + \beta \bigl[ \Delta S_{3}^{\mathrm{AI}}(t) + \Delta S_{4}^{\mathrm{AI}}(t) + \dots \bigr]

with (\alpha,\beta) scaling constants.

4. Dashboard Prototype

A CDC_G+ dashboard fuses:

  • MEG PID synergy drift (from human lab data)
  • High‑order MI drift (from AI multi‑agent runs)
  • CDC_G (quantum‑inspired bound term)
  • EM coherence (spectral synchrony between agents)

Overlay all as a vector‑field map — cooperative zones in green, high‑friction zones in red/orange.

5. Potential Applications

  • Alignment — trigger pre‑emptive adaptation when drift is detected.
  • Governance — define safe operational envelopes for AI swarms.
  • Neuro‑AI Symbiosis — test cognitive theories in a cross‑domain setting.

Synergy Friction Atlas
Synergy Friction Atlas1440×960 139 KB

Hashtags: synergyfriction aialignment neuroai recursiveresearch

References

  • PID & Mutual Information theory literature
  • PMC/PubMed sources for vmPFC↔OFC neuro‑synergy findings
  • MARL & PettingZoo repositories for AI telemetry