← Complex Adaptive Humans
Complex Adaptive Humans  ·  Framework Release
Issue #17 February 25, 2026

CAMS v2.3

A formal specification, a failure mode taxonomy, and four new analytical tools


CAMS v2.3 is the latest version of the Complex Adaptive Model of Societies. The framework represents a society as a dynamic 8×4 state matrix, bridging the mythic layer (Lore and Archive) with executive interfaces (Helm and Stewards) through to the material foundations of Shield, Craft, Hands, and Flow. Effective coupling coordination between these three node types defines societal health.

Through precise mathematical definitions of node health, bond strengths, and coordination phase space, CAMS illuminates how societies maintain coherence or descend into crisis via layer decoupling — offering a universal lens for analysing civilisational resilience and transformation.

Complementing the formal model is a new interactive dashboard with four specialised analytical tools: dDIG Analysis, Dyad Field, Combined Insights, and Phase-Space Attractor. Open-source, intuitive, and optimised for time-series data.

Mythic
Lore · Archive
Cognitive coherence and legitimacy — meaning, memory, narrative continuity
Interface
Helm · Stewards
Executive conduit — governance and resource stewardship bridging myth and matter
Material
Shield · Craft · Hands · Flow
Physical and metabolic base — defence, production, labour, distribution

Society S at time t is the state matrix X(t) ∈ ℝ⁸ˣ⁴ — eight nodes, four columns [C, K, S, A] scored on integers [1, 10] representing Coherence, Capacity, Stress, and Abstraction.

Node Value V_i(t) = C_i + K_i + (A_i / 2) − S_i range: [−7.5, 24.0] Mean: V̄(t) = (1/8) Σ V_i(t) Sigma: σ_V(t) = √((1/8) Σ (V_i − V̄)²)
Bond Strength — negative-domain safe B_ij(t) = √(max(V_i + 8, 0) · max(V_j + 8, 0)) / 32 range: [0, 1] Mythic–Material coupling index (primary leading indicator): Λ(t) = mean B_ij over all cross-layer edges
Coordination Phase Space & Phase Transition Φ(t) = (V̄(t), σ_V(t)) Regimes (V_θ ≈ 12, σ_θ ≈ 3.5): Coherent-Capable | Strained-Coherent Polarised-Capable | Crisis CPT at t* when Φ enters Crisis with: dσ_V/dt > 0, dV̄/dt < 0, Λ(t*) < 0.45
Dynamics — graph Laplacian diffusion + shocks V_i(t+1) = V_i(t) + α Σ_j B_ij (V_j − V_i) + ε_i(t+1) Order parameters: ξ₁ = V̄, ξ₂ = σ_V, ξ₃ = Λ
CAMS v2.3 phase-space output: Australia, Norway, Iran — coordination metrics over time and phase-space trajectories
Phase-space trajectories and coordination metrics over time — Australia, Norway, Iran. Distinct attractor basins visible in each case.

Systemic failure equals layer decoupling. The signal is a falling Λ(t) — the mythic–material coupling index degrading before the Coordination Phase Transition arrives. Societies do not fail by single-node collapse but by severed bonds between layers.

Live at: cams-advanced-analysis.streamlit.app
Four specialised tools · 50+ pre-loaded societies · Upload CSV for custom data
Expected format: Society, Year, Node, Coherence, Capacity, Stress, Abstraction, Bond Strength
Tab 1 · dDIG Analysis
Directed Information Gain
Computes I(X→Y|Z): how much one institutional node predicts changes in system-wide metrics. Ranks institutions by causal influence on Coherence, Capacity, Stress, or Abstraction. Normalised nDIG scores enable cross-society comparison.
Tab 2 · Dyad Field
Metabolic–Mythic Tension
Tracks M (Metabolic Load), Y (Mythic Integration), D (Mismatch), R (Risk = D/B), and Ω (stress volatility). M–Y phase-space trajectory shows whether the system is converging or diverging. High D with weak coupling signals instability.
Tab 3 · Combined Insights
Unified Influence Rankings
Cognitive influence (nDIG for Coherence, Capacity, Abstraction), affective influence (nDIG for Stress), and composite rankings. Heatmap and radar charts for top-5 influencers. One click for a complete institutional importance profile.
Tab 4 · Phase-Space Attractor
3D System Trajectory
3D attractor plots in M–Y–B space. Regime detection via K-means clustering. Phase velocity measures speed of institutional change. Tight spirals = stability. Linear paths = directional change. Jumps = shocks or crises.
CAMS Advanced Analysis Dashboard — Phase-Space Attractor tab showing USA 1790–2025 3D M-Y-B trajectory
Dashboard Phase-Space Attractor tab: USA Maximum dataset, 1790–2025, 1248 records, 10 nodes detected. 3D M–Y–B trajectory colour-coded by year — the trajectory's compression post-2000 is visible.

All societies obey identical (V̄, σ_V, Λ) geometry. Crisis equals mythic–material decoupling, detectable at least five years before the Coordination Phase Transition arrives.

Falsification criteria (unchanged from v2.0):
Cross-LLM concordance r > 0.7  ·  Λ(t−5) AUC > 0.75  ·  Universal ρ(S, K) < −0.3  ·  CPT detectability ≥5 years pre-transition

What v2.3 introduces

  • Formal 8×4 state matrix representation with negative-domain-safe bond strength formula
  • Mythic–Material coupling index Λ(t) as the primary leading indicator — falling Λ precedes Crisis by up to 5 years
  • Coordination Phase Space formally defined with four regimes and precise CPT conditions
  • Eight failure modes taxonomised from macro coupling failures down to node-specific pathways
  • Interactive dashboard at cams-advanced-analysis.streamlit.app with dDIG, Dyad Field, Combined Insights, and Phase-Space Attractor
  • Open-source, 50+ pre-loaded societies, uploadable CSV — free to use and fork