woo · symbolic constellation

Yes, woo — on purpose. The name is a filter: if it makes you dismiss this, it isn’t for you. The work is to interpret the dynamics, not to fixate on the numbers (the numbers are rigorous anyway — see Methods). A latent dynamical system: each actor is a vector z∈ℝ10 descending a continuous potential1 on a directed, plastic graph.9

0.45
0.06
0.04
0.10

THE THIRD — the constraint1618
enable
+0.45
hidden Buddha (śūny/witness) ← 0 → Moloch (multipolar trap)
0.90

inject perturbation (acts in latent dims)
field contours ∇U trails edges learned W basin tethers star glints

click node = lock (role-lock) · drag node = move in-plane (basin test) · drag timeline = scrub · space pause · R reset

OBSERVABLES

modefree
step t0
plane
breath φ0.00
mean ‖v‖0.00
latent spread0.00
system potential U10.00
order param R80.00
coupling asym. Δ100.00
3-body regime 三18
the Thirdoff (dyad)
Lyapunov λ190.00
complexity C220
basin occupancy4
inferred W — causal (top)11
W-diff since
wells = attractors (a 2-D slice of the 10-D potential at the group centroid) · arrows A→B = A perturbs B more than reverse · trails = orbits. Edges learn causally: if B follows A after a perturbation, W(A→B) grows. Switch the projection to read different basins.
timeline — recording frame 0 / 0
×

woo: a latent attractor-field model of directed symbolic interaction

Computational instrument — interactive specification, v0.4 “the Third.”  ·  We call it “woo” deliberately: the name selects for readers who interpret dynamics over those who fixate on data. The mathematics below is, nonetheless, exact.

1 · State & projection

Each of N actors carries a latent state zi(t)∈ℝ10 over interpretable affective–relational coordinates [security, threat, desire, status, intimacy, ambiguity, control, shame, curiosity, trust], a circumplex-style decomposition of interpersonal affect.14 The display is a 2-D coordinate projection pi=Π(zi); the field is the corresponding planar slice of the full potential.

2 · Dynamics

States evolve by gradient descent on a continuous potential, plus directed coupling, perturbation, and stochastic forcing — a Langevin flow on an attractor landscape in the tradition of associative-memory1 and continuous neural-field models,2 over a Waddington-style landscape metaphor.3

dzi = [ −∇U(zi) + Σj κ Wji(zjzi) − ρΣj(zjzi)/‖·‖² + Pi(t) ] dt + σ dWt[1,2,4,7]
U(z) = −Σk Ak(t)·exp( −‖z−ck‖² / 2σk² )[1,3]

Attractor strengths Ak(t) = Ak(1 + b·sin(ωkt + φk)) “breathe,” a slow periodic modulation analogous to coupled-oscillator entrainment.8 Coupling strength κ is the order parameter of an interaction phase transition: above a critical κ the constellation collapses into a single basin — a saddle-node/catastrophe-type bifurcation.456 Coordination-dynamics models of dyadic coupling motivate the directed term.7

3 · Edge inference (plasticity)

The directed graph is not fixed. Weights relax toward a structural prior W₀ and are driven by a lagged, motion-gated directional alignment — a Hebbian9 proxy for directed causal influence in the spirit of Granger causality10 and transfer entropy.11 If i’s motion at t−1 predicts j’s motion at t, Wij grows.

Wij ← Wij + r(W₀ij−Wij) + η·max(0, cos∠(Δzit−1, Δzjt))·g[9,10,11]

4 · Observables

U = ΣiU(zi) is the system potential energy. The Kuramoto-style order parameter R = ‖N⁻¹Σi vi/‖vi‖‖∈[0,1] measures directional coherence of motion (R→1 at collapse).8 Coupling asymmetry Δ = ⟨|Wij−Wji|⟩ quantifies net directedness. Basin occupancy assigns each actor to argminkzi−ck‖.

5 · Interpretation

Perturbation is treated as measurement: a controlled input Pi(t) deforms the landscape and the response reveals coupling — an active-inference reading of probing.15 The framework follows the dynamical-systems program for social and dyadic psychology.1213

6 · The Third (三): from dyad to triad

A two-body system — a dyad, or a single actor in a fixed landscape — is effectively integrable: it settles. Sociologically, Simmel argued the triad is categorically distinct from the dyad; the third party transforms every relation it enters (mediator, tertius gaudens, divide-and-rule).16 Dynamically, the analogue is exact: adding a third gravitating body destroys integrability and admits chaos — Poincaré’s three-body problem18 and its sensitive dependence on initial conditions, quantified by a positive largest Lyapunov exponent.19 We add a third body with mutual coupling to the actor cloud and measure λ online with the Benettin twin-trajectory method. With the Third off, λ ≈ 0 (the dyad settles); switch it on and λ > 0 — the system becomes perpetually generative.

The Third has two archetypes along an axis μ∈[−1,+1]:

Moloch (μ > 0): the coordination-failure attractor. Its pull scales with the group’s own coherence — the more the actors harmonize, the harder it drags them toward the “sacrifice” well, inflaming competition. This is the multipolar trap: the tragedy of the commons,20 Schelling’s perverse macro-behaviour,21 the god to whom cooperation is sacrificed.27 Girard’s mimetic third — the model-rival who generates desire and rivalry — is the interpersonal face of the same force.17

The hidden Buddha (μ < 0): the empty witness. It applies a rotational, de-grasping force — weakening attractor capture and inducing orbit rather than collapse. It is “hidden” (low amplitude, never dominating) yet decisive: by refusing to fix the system it keeps it in continual becoming — the non-substantial third of Nāgārjuna’s śūnyatā and dependent origination.24

Either way the moral is one: adversity is the engine of complexity. A frustrated system explores; order arises through fluctuation far from equilibrium (Prigogine’s dissipative structures22) and richness peaks at the edge of chaos.23 The dialectic needs its negation: the third moment that sublates the pair into a higher unity.25 We report this as complexity C, the rate of basin reorganization. The directed graph is the Symbolic order through which the Third becomes legible.26

7 · Dual glossary (for the contemplative & the scientist)

object contemplative reading formal object
attractor wella samskara / habitual refugelocal minimum of U(z)
perturbationa koan, a rupture, graceimpulse input P(t); a measurement
breathingthe field inhaling/exhalingperiodic modulation Aₖ(t)
Molochthe demon of sacrificed cooperationcoherence-coupled adversarial attractor
hidden Buddhaśūnyatā, the witness, non-graspingrotational, attractor-attenuating operator
λ > 0irreducible aliveness / freedompositive Lyapunov exponent (chaos)
complexity Cgrowth through adversitybasin-transition rate (order-through-fluctuation)
Status & limitations. This is an exploratory computational instrument, not an empirically validated theory. The latent dimensions, attractor centers, structural prior W₀, and perturbation vectors are illustrative parameterizations chosen for interpretability, not fitted to data. The edge-inference rule is a lightweight lagged-cosine heuristic — a stand-in for, not an implementation of, formal Granger causality or transfer entropy, which require statistical estimation over ensembles. Treat outputs as hypothesis-generating dynamics, and validate any claim against measured data before asserting it.

References

  1. Hopfield, J. J. (1982). Neural networks and physical systems with emergent collective computational abilities. PNAS 79(8), 2554–2558.
  2. Amari, S. (1977). Dynamics of pattern formation in lateral-inhibition type neural fields. Biological Cybernetics 27, 77–87.
  3. Waddington, C. H. (1957). The Strategy of the Genes. Allen & Unwin. (epigenetic landscape)
  4. Strogatz, S. H. (1994). Nonlinear Dynamics and Chaos. Addison-Wesley. (basins, bifurcations)
  5. Thom, R. (1975). Structural Stability and Morphogenesis. Benjamin. (catastrophe theory)
  6. Zeeman, E. C. (1976). Catastrophe theory. Scientific American 234(4), 65–83.
  7. Haken, H., Kelso, J. A. S., & Bunz, H. (1985). A theoretical model of phase transitions in human hand movements. Biological Cybernetics 51, 347–356.
  8. Kuramoto, Y. (1975). Self-entrainment of a population of coupled non-linear oscillators. Int. Symp. on Mathematical Problems in Theoretical Physics, 420–422.
  9. Hebb, D. O. (1949). The Organization of Behavior. Wiley.
  10. Granger, C. W. J. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica 37(3), 424–438.
  11. Schreiber, T. (2000). Measuring information transfer. Physical Review Letters 85(2), 461–464.
  12. Gottman, J. M., Murray, J. D., Swanson, C. C., Tyson, R., & Swanson, K. R. (2002). The Mathematics of Marriage: Dynamic Nonlinear Models. MIT Press.
  13. Nowak, A., & Vallacher, R. R. (1994). Dynamical Social Psychology. Guilford Press.
  14. Russell, J. A. (1980). A circumplex model of affect. J. Personality and Social Psychology 39(6), 1161–1178.
  15. Friston, K. (2010). The free-energy principle: a unified brain theory? Nature Reviews Neuroscience 11, 127–138.
  16. Simmel, G. (1908/1950). The dyad and the triad. In The Sociology of Georg Simmel (K. Wolff, Trans.). Free Press.
  17. Girard, R. (1961/1965). Deceit, Desire, and the Novel. Johns Hopkins University Press. (mimetic / triangular desire)
  18. Poincaré, H. (1890). Sur le problème des trois corps et les équations de la dynamique. Acta Mathematica 13, 1–270.
  19. Lorenz, E. N. (1963). Deterministic nonperiodic flow. Journal of the Atmospheric Sciences 20(2), 130–141.
  20. Hardin, G. (1968). The tragedy of the commons. Science 162(3859), 1243–1248.
  21. Schelling, T. C. (1978). Micromotives and Macrobehavior. Norton.
  22. Prigogine, I., & Stengers, I. (1984). Order Out of Chaos. Bantam. (dissipative structures)
  23. Kauffman, S. A. (1993). The Origins of Order: Self-Organization and Selection in Evolution. Oxford University Press. (edge of chaos)
  24. Nāgārjuna (c. 2nd c.). Mūlamadhyamakakārikā (J. Garfield, Trans., 1995, The Fundamental Wisdom of the Middle Way). Oxford University Press. (śūnyatā)
  25. Hegel, G. W. F. (1807). Phenomenology of Spirit (A. V. Miller, Trans., 1977). Oxford University Press. (dialectic)
  26. Lacan, J. (1966/2006). Écrits (B. Fink, Trans.). Norton. (the Symbolic / the big Other)
  27. Alexander, S. (2014). Meditations on Moloch. Slate Star Codex. slatestarcodex.com/2014/07/30/meditations-on-moloch/