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Public Diplomacy Simulation Lab

PDSL Demo Console

Frantz Damas, PhD  ·  pdsl.damascis.com

v1.1 (stable semantics)  ·  Architecture v0.2.0
Deterministic Interpretive Not Forecasting Hard Gate Enforced Regime-Bound Narrative

Outputs are interpretive constructs for controlled scenario reasoning — not forecasts, not causal inference, not electoral targeting. Grounded in Nye (Soft Power, 2004) & Wendt (Constructivism, 1999).

Illustrative output only. This demo presents deterministic, theory-constrained simulations for analytical and educational purposes. Outputs are not forecasts, predictions, or causal inference. See docs/model-card.md for interpretation and limits.
Endpoint:

Inputs · v1.1

UI uses POST JSON to your live API routes.

Model Reference

Frozen Formulas · v1.1
tf_s = 1 − e^(−2.2·tf) k=2.2 frozen t = clamp(weeks / 104) APR = 0.55·ex + 0.25·tf_s + 0.15·t − 0.25·aiL IAS = 0.40·ex + 0.15·t + 0.25·ni − 0.10·aiL PST = 0.52·tf_s + 0.20·ex + 0.15·ni + 0.10·t − 0.05·aiL All outputs ∈ [0,1] · clamp01 enforced
Regime Taxonomy R0–R5
R4
Fatigue-limited overexposure
tfSat≥0.80 AND pst≥0.60
R3
Saturated high-threat plateau
pst≥0.67 AND tfSat≥0.72
R2
Framing-dominant escalation
pst≥0.33 AND ratio≤0.90
R1
Distribution-dominant escalation
pst≥0.33 AND ratio≥1.10
R5
Resilience-constrained
pst<0.60 AND friction dominates
R0
Low-threat baseline
pst<0.33 AND tfSat<0.60
Canonical baseline pre-loaded — press Run Simulation to verify.

30-Second Reviewer Verification

Canonical baseline: POST https://pdsl.damascis.com/api/simulate { "exposure":0.7, "aiLiteracy":0.35, "nationalIdentitySalience":0.55, "threatFraming":0.6, "timeExposureWeeks":52 } Expected: APR=0.56 (medium) · IAS=0.46 (medium) · PST=0.64 (medium) tfSat≈0.733 · regime=R2_framing_dominant_escalation · fatigue=false