Ether - Human Society & Cliodynamic Thermodynamic Simulation

Ether is a high-fidelity, physicalist and cliodynamic simulation engine modeling planetary human civilization dynamics from 100,000 BCE into future planetary scenarios. Driven by strict thermodynamic principles (Joules, Net EROEI, Carnot limits, Shannon entropy, Soil N-P-K & Carbon, and Aquifer depletion), Ether eliminates heuristic shortcuts in favor of deterministic physical forcing equations and empirical cliodynamic models on a global hexagonal grid (Uber H3).

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⚡ Instant Standalone Deployment (1-Click) & 100% Offline Capability

Ether runs out of the box without requiring any external database configuration or internet connection:

• 100% Offline Operational: All core baseline historical scenarios, planet archetypes, ecology models, and cliodynamic equations are embedded directly inside the JAR. You can run, experiment, modify parameters, and save completely offline.
• Ultra-Lightweight Distribution (~44 MB): Portable standalone distribution package (dist/Ether-v1.0.0-beta.2-standalone.zip).
• Non-Blocking Background Sync (Optional): When connected to the internet, official extra scenarios, maps (data/maps/ether/**), chronicles (data/events/), and snapshots (saves/**) sync automatically in the background without stalling the interface.
• Branch & Customization Protection: Local user edits (changed H3 resolution, cohort size, time steps, custom scenarios, user saves) are protected via SHA-256 and are never overwritten. Reference scenarios always remain accessible alongside user custom presets.

# Windows
run.bat

# Linux
chmod +x run.sh
./run.sh

# macOS (double-click run.command in Finder, or run via terminal)
chmod +x run.sh run.command
./run.command

To build a standalone portable release distribution:

• Standalone Release (.zip + .tar.gz + SHA256): powershell -ExecutionPolicy Bypass -File scripts\build\package-release.ps1 -Platform standalone

For complete deployment options (standalone, Docker PostGIS, distributed cluster, and headless batch CLI), see docs/DEPLOYMENT_AND_INFRASTRUCTURE.md.

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🎨 Application Architecture & 7 Core Interface Panels

Ether features an integrated 7-panel JavaFX studio providing end-to-end control over planetary genesis, resource distribution, scenario parameters, cliodynamic engines, real-time 3D simulation, telemetry, and system options:

Application Panel	Detailed Functionality & Visual Preview
1. 🪐 Biophysical Planet Generator (PlanetGeneratorPanel)	Procedural World Genesis & Tectonic Modeling Interactive planet sculptor allowing custom generation of planetary topographies, ocean-to-land ratios, atmospheric pressure, temperature gradients, insolation forcing, mantle heat flux, and soil N-P-K strata.
2. ⛏️ Geological Tensors & Resource Distribution (ResourceDistributionPanel)	8-Layer Geological Tensor Ingestion & Distribution Ingests empirical spatial datasets (ESRI ASCII Grid .asc, GeoJSON, GeoTIFF, WMS) for 8 energy and mineral resource tensors (Coal, Crude Oil, Natural Gas, Uranium, Helium-3, Iron & Copper, REE/Precious Metals, Aquifers) with procedural fallback toggles.
3. 🎛️ Scenario Setup Navigation (ScenarioSetupPanel)	12-Section Historical & Paleoclimate Setup Navigation Standardized setup hierarchy to configure temporal horizons (from -300,000 BP to future epochs), paleoclimate radiative forcing, cohort demographic matrices, initial technological diffusion, Asabiyyah social cohesion, and pre-flight JIT thermodynamic viability checks.
4. ⚙️ Execution Context & Engine Dispatcher (ExecutionContextPanel)	Simulation Engine Dispatcher & Multi-Core Hardware Calibration Manages simulation loop execution parameters, core physical forcing laws, active Type B cliodynamic plugins, thread pool allocation, and micro/macro tick frequencies. Features direct toggling between the Native Multi-Core Rust Engine, Java 21 Incubator Vector SIMD, OpenCL GPU Compute Shaders, and Deterministic CPU Safe Mode.
5. 🌐 Real-Time H3 Simulation Canvas (H3MapCanvas)	Real-Time 3D/2D H3 Hexagonal Globe & Archon God Mode Engine Renders up to 98+ million hexagonal cells on Uber H3 grid with live multi-layer heatmaps (Malthusian Pressure, Biomes, Population, Radiance, Demographics, Asabiyyah), coordinate tracking, and the Cybernetic God Mode (Archon Engine) for real-time catastrophe injection and parameter perturbation. Cybernetic God Mode (Archon Intervention Console):
6. 📊 Cliodynamics Telemetry & Comparative Analytics (ComparativeAnalyticsPanel)	Planetary Cliodynamics Telemetry & Empirical Fitting Calculates real-time Root Mean Square Error (RMSE) and $R^2$ historical goodness-of-fit against empirical datasets (Seshat, Maddison, HYDE 3.4), age pyramids, Gini inequality indices, and EROEI net surplus curves.
7. 🔧 Preferences & System Configuration (PreferencesPanel)	Theme Management, Full i18n & Data Provenance Controls UI themes (Dark/Light mode), 5-language localization (EN, FR, DE, ES, ZH), auto-save intervals, external spatial data paths, and SHA-256 cryptographic manifest exports (provenance.json).

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🎛️ Standardized Scenario Setup Navigation (Sections 1 to 12)

The ScenarioSetupPanel uses a standardized 1–12 numerical navigation hierarchy ensuring a seamless configuration workflow across planetary parameters, cliodynamics, and performance toggles:

1. 1. Scenario Presets & Historical Archetypes (Historical eras & benchmark scenario profiles)
2. 2. Temporal Horizon & Chronology (Start year, end year, tick rate & calendar sub-steps)
3. 3. Biophysical Planet Geography & H3 Grid (Planet radius, atmospheric pressure, sea level offset, axial tilt)
4. 4. Astro-Climate Forcing & Paleoclimate Events (Insolation, radiative greenhouse forcing, volcanic aerosol shocks)
5. 5. Demographic Cohorts & Population Matrix (Initial population, age pyramids, carrying capacity sensitivity)
6. 6. Spatial Density & Initial Settlement Distribution (Settlement archetypes: One Continent, Nile Valley, Fertile Crescent, Beringia, Urban Clusters)
7. 7. Biophysical Resources & Stockpiles (Initial food reserve months, capital $K_0$, metal/wood/water reserves)
8. 8. Initial Technology & Knowledge Diffusion (Initial tech level, innovation rate, Shannon transmission bandwidth)
9. 9. Sociology, Institutions & Social Cohesion (Asabiyyah solidarity, elite formation ratio, fiscal stress threshold)
10. 10. Simulation Engine & Plugin Selection (Core physical laws, 50+ Type B cliodynamic engines, terraforming modules)
11. 11. Calibration, JIT Compilation & Engine Performance (Parallel worker threads, multi-frequency climate ticks, JIT warm-up)
12. 12. World Cartographic Preview & Scene Initialization (Interactive preview canvas, layer toggles, pre-flight diagnostic summary)

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🦀 High-Throughput Native Rust Engine Architecture (ether-core-native)

To enable seamless multi-millennial planetary integrations across fine-grained H3 hexagonal grids (up to Resolution 7 with 98.8M cells), Ether features a dedicated Native Parallel Rust Compute Core (native/ether-core-native/ compiling to ether_core_native.dll / libether_core_native.so / libether_core_native.dylib):

🏗️ Data-Oriented Design (DOD) & Parallel Kernel Pipeline

• Flat Memory Contiguity: Eliminates JVM object-pointer indirection via flat, cache-aligned Structure-of-Arrays (SoA) buffers (WorldBuffer and AgentBuffer) shared directly across zero-copy FFI boundaries.
• Rayon Multi-Threaded Work-Stealing: Dispatches cell chunks across all CPU cores with lock-free parallel iterators.
• Auto-Vectorized SIMD: Explicit target CPU feature compilation (target-cpu=native, AVX2 / AVX-512) providing vectorized evaluation of thermodynamic state transitions.
• Bit-Exact IEEE-754 Determinism: Matches the Java reference implementation with bit-identical fidelity ($\Delta_{\text{IEEE-754}} = 0.0$), guaranteeing scientific reproducibility across local and distributed cluster execution modes.

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⚡ Empirical Planetary Simulation Engine Benchmarks (Ground Truth)

Ether evaluates the complete planetary simulation pipeline (H3SimulationEngine.java + SimulationPipeline.java) executing all 25 geoscientific cartographic raster layers, Tier 1 biophysical conservation PDEs (Liebig N-P-K stoichiometry, 2D Darcy lateral aquifer diffusion, Budyko-Sellers albedo energy balance, megafauna trophic cascades, deforestation root erosion), Data-Oriented Design (DOD) vectorized kernels, exact analytical Gini metrics, and non-blocking asynchronous rolling memory snapshots.

• 1-Click Automation Scripts: scripts/benchmark/run-all-benchmarks.bat (Windows) or scripts/benchmark/run-all-benchmarks.sh (Linux/macOS)
• Direct CLI Execution: java -jar society-simulation.jar --benchmark or mvn test -Dtest=ComprehensiveRealEngineBenchmarkTest
• Official Benchmark Scenario: BENCHMARK_STANDARD (Full planetary Earth or Regional Windowed Cradle, configurable across --tier1 or --tier2 via CLI)
• Exhaustive Report, Audit & Profiling: docs/BENCHMARKS.md

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📍 Axis 1: Spatial Grid Scaling Matrix (Res 2 to Res 7 Global Earth)

Empirically evaluated on full planetary Earth grids ($\Delta t = 30\text{ days}$, strictDeterminism = true):

Scenario & Grid Level	H3 Resolution	Total Hexagons	Cell Spacing	Engine Mode	💻 Workstation (4 Cores, 8 GB Heap)	☁️ GCP VM (c2d-standard-8, 24 GB Heap)	Single-Cell Latency (GCP)	10,000 Ticks Wall-Clock Duration	Snapshot Footprint (24x Cadence)
Global Macro Baseline	Res 2	5,882	~110 km	OOP Engine	3.94 TPS (253.8 ms)	21.49 TPS (46.5 ms)	7.91 μs / cell	7.8 minutes	11.8 MB (0.5 MB / snap)
Earth Global Standard	Res 3	41,162	~42 km	OOP Engine	1.28 TPS (784.1 ms)	9.69 TPS (103.2 ms)	2.51 μs / cell	17.2 minutes	82.9 MB (3.5 MB / snap)
Regional Windowed Cradle	Res 5	40,305	~6 km	OOP Engine	1.39 TPS (719.2 ms)	9.60 TPS (104.1 ms)	2.58 μs / cell	17.4 minutes	81.2 MB (3.4 MB / snap)
Earth Global High-Fi	Res 4	288,122	~16 km	OOP Engine	0.27 TPS (3,760.4 ms)	1.56 TPS (640.1 ms)	2.22 μs / cell	1.8h (106 min)	580.3 MB (24.2 MB / snap)
Earth Global Ultra-Fi	Res 5	2,016,842	~6 km	OOP Engine	RAM Limit (>16 GB)	0.10 TPS (9,543.3 ms)	4.73 μs / cell	26.5h	4.06 GB (169 MB / snap)
Earth Global Sub-Regional	Res 6	14,117,882	~2.3 km	DOD Streaming	0.05 TPS (20,468.1 ms)	0.18 TPS (5,446.5 ms)	0.39 μs / cell	15.1h	15.5 GB (646 MB / snap)
Earth Global High-Density	Res 7	98,825,162	~0.86 km	DOD Streaming	0.01 TPS (119,803.1 ms)	0.03 TPS (38,248.8 ms)	0.39 μs / cell	106.2h	108.6 GB (4.5 GB / snap)

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⏱️ Axis 2: Temporal Integration Step Resolution Sweep ($\Delta t$)

Evaluated on the standard reference grid (Earth Global Res 3, 41,162 Hexagons, Multi-Core):

Temporal Integration Step ($\Delta t$)	Step Days	Temps Simulé pour 10 000 ticks	💻 Temps Exécution 10k ticks (Workstation 4C)	☁️ Temps Exécution 10k ticks (GCP 8 vCPUs)	Measured TPS (GCP)	Latency ms/tick (GCP)	Single-Cell Latency
Daily ($\Delta t = 1\text{d}$)	1.0 day	27.4 ans (0.3 siècles)	53.7 minutes	10.4 minutes	15.97 TPS	62.6 ms	1.52 μs
Weekly ($\Delta t = 7\text{d}$)	7.0 days	191.6 ans (0.2 millénaires)	43.6 minutes	8.3 minutes	20.07 TPS	49.8 ms	1.21 μs
Monthly ($\Delta t = 30\text{d}$)	30.0 days	821.4 ans (0.8 millénaires)	1.2h (70 min)	11.6 minutes	14.35 TPS	69.7 ms	1.69 μs
Annual ($\Delta t = 365\text{d}$)	365.3 days	10 000.0 ans (10.0 millénaires)	1.1h (68 min)	16.6 minutes	10.05 TPS	99.5 ms	2.42 μs

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⚙️ Axis 3: Compute Backend Engine Architecture

Measured on Earth Global Res 3 (41,162 Hexagons) under identical initial conditions:

Backend Architecture Mode	Hardware Threads	💻 Workstation TPS	💻 Workstation Latency	☁️ GCP VM TPS	☁️ GCP VM Latency	Single-Cell Latency (GCP)	Measured Speedup vs 1C (GCP)
Java JIT (Monocœur, 1 Thread)	1 Thread	2.93 TPS	341.8 ms	15.60 TPS	64.1 ms	1,557.5 ns	1.00x (Baseline)
Java 21 SIMD Vector (Multicœur)	4C (Local) / 8C (GCP)	5.79 TPS	172.6 ms	20.39 TPS	49.0 ms	1,191.2 ns	1.31x
Native Rust Core (AVX-512 + Rayon)	4C (Local) / 8C (GCP)	4.62 TPS	216.4 ms	16.07 TPS	62.2 ms	1,511.8 ns	1.03x

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🔬 Axis 4: Physics Coupling Tiers (Tier 1 vs Tier 1 + Tier 2 Cliodynamics)

Evaluated on Earth Global Res 3 (41,162 Hexagons):

Coupling Tier Configuration	Tier 2 State	Included Physical & Cliodynamic Sub-Systems	Measured TPS (GCP)	Latency ms/tick (GCP)	Single-Cell Latency	Cliodynamic Overhead vs Tier 1
Tier 1 Invariant Conservation PDEs Only	DISABLED	Atmospheric radiation, Farquhar photosynthesis, Liebig N-P-K soil dynamics, 2D Darcy aquifer diffusion, megafauna trophic cascades, deforestation root cohesion, DOD demographics/culture.	18.36 TPS	54.5 ms	1.32 μs	0.0% (Baseline)
Tier 1 + Tier 2 Coupled Cliodynamics	ENABLED	Tier 1 physics + Turchin SDT, Tainter collapse, World3 capital-resource feedback, Acemoglu institutions, Dynamic trade networks, War & Diplomacy, Asabiyyah.	19.83 TPS	50.4 ms	1.23 μs	< 10% (Amortized via populated domain partition)

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⏳ Axis 5: Historical Epochs & Demographic Scale

Measured on Earth Global Res 3 (41,162 Hexagons) across 5 landmark historical epochs:

Historical Epoch Preset	Associated Year	Initial Population ($T_0$)	Initial Tech Level	💻 Workstation TPS	💻 Workstation ms/tick	☁️ GCP VM TPS	☁️ GCP VM ms/tick	Final Population ($T_{10}$)
Out of Africa	100,000 BCE	100,000	1.0 (Paleolithic)	7.51 TPS	133.2 ms	15.44 TPS	64.8 ms	100,617
Neolithic Revolution	10,000 BCE	5,000,000	2.0 (Early Agrarian)	1.62 TPS	617.8 ms	3.96 TPS	252.6 ms	5,012,907
Classical Antiquity	500 BCE	150,000,000	3.5 (Agrarian Empires)	0.06 TPS	17,976.4 ms	0.13 TPS	7,496.0 ms	146,947,099
Industrial Revolution	1800 CE	1,000,000,000	6.0 (Steam & Coal)	0.01 TPS	73,016.2 ms	0.02 TPS	45,230.5 ms	949,778,185
Modern Anthropocene	2026 CE	8,000,000,000	9.5 (Globalized)	0.05 TPS	20,446.7 ms	0.08 TPS	12,232.5 ms	656,267,804

💡 Pure In-Memory DOD Micro-Kernels (--benchmark-dod):
In complete isolation from physical PDE diffusion, cartographic rasters, and disk serialization, pure DOD contiguous array kernels run at 55 to 195 TPS (Res 2–3) and 7.4 TPS (Res 4). See docs/BENCHMARKS.md for the detailed micro-benchmark vs macro-engine distinction and the full code audit.

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🖥️ Command-Line Interface (CLI) & Tab 4 Parity

All execution options configured in Tab 4 (Execution Context Panel) are 100% controllable via standard command-line flags:

# 1. Native Rust Multi-Core execution on H3 Resolution 4 with 8 threads
java -jar society-simulation.jar --engine=rust --threads=8 --res=4 --scenario=INDUSTRIAL --ticks=500

# 2. GPU OpenCL Compute Shaders execution in headless batch mode
java -jar society-simulation.jar --gpu --headless --res=3 --scenario=NEOLITHIC --ticks=1000

# 3. Distributed Cluster execution (Master Orchestrator)
java -jar society-simulation.jar --mode=cluster --role=master --port=9090 --engine=rust --res=4

# 4. Distributed Cluster execution (Worker Agent Node)
java -jar society-simulation.jar --mode=cluster --role=worker --master-host=10.0.0.1 --port=9090

# 5. Single-Core Deterministic Safe Mode
java -jar society-simulation.jar --single-core --safe --res=2 --scenario=OUT_OF_AFRICA

CLI Parameter	Alternative Flag	Description & Tab 4 Equivalent
--engine=<rust|gpu|simd|cpu|safe>	-e <type>	Select compute backend (Native Rust, OpenCL GPU, Java SIMD, CPU JIT, SW Safe)
--rust / --native	-	Force Native Rust Core (ether_core_native.dll/.so/.dylib with Rayon + AVX-512)
--gpu / --opencl	-	Force OpenCL GPU Compute Shader Pipeline
--simd / --vector	-	Force Java 21 Incubator Vector SIMD Engine
--single-core	--monocoeur	Run in single-threaded / single-core mode
--multi-core	--multicoeur	Run in parallel multi-core mode (all available CPUs)
--threads=<N> / --cores=<N>	-	Explicitly allocate N CPU worker threads
--mode=<local|cluster>	--cluster	Select local workstation or distributed network cluster
--role=<master|worker>	-	Set node role in cluster mode (Default: master)
--master-host=<IP>	-	Master IP address or DNS hostname (for worker nodes)
--port=<PORT>	-	Cluster communication port (Default: 9090)
--res=<2|3|4|5>	-r <N>	Set H3 planetary grid resolution level (Res 2: 5.8k, Res 3: 41k, Res 4: 288k, Res 5: 2.01M cells)
--scenario=<NAME>	-s <NAME>	Historical epoch preset (OUT_OF_AFRICA, NEOLITHIC, CLASSICAL, INDUSTRIAL, MODERN)
--ticks=<N>	-t <N>	Target simulation tick count
--headless	-h	Run in headless CLI batch mode without JavaFX display overhead

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☁️ Google Cloud Platform Distributed Multi-Node Benchmarks

Ether includes high-performance cloud orchestration scripts (scripts/gcp/) supporting multi-node distributed simulations on Google Cloud Compute Engine (c2-standard-16 / c2-standard-4 Spot cluster: ether-master + ether-worker) with a live asynchronous PostgreSQL 15 + PostGIS 3.3 geospatial persistence layer.

📖 See docs/BENCHMARKS.md and docs/DEPLOYMENT_AND_INFRASTRUCTURE.md for the exhaustive cost-per-tick matrices, sizing formulas, and multi-node cluster scaling curves.

All snapshots, world state matrices (topology.bin.gz, state.bin.gz, metadata.json, scenario.json, history.json), and PostGIS spatial tables can be synchronized to the local machine in 1-click via ./scripts/gcp/fetch-results.sh for seamless interactive replay in the Ether GUI.

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🔬 Scientific Engine Architecture & Ontological Separation

Ether couples two rigorous tiers of scientific engines:

• Tier 1 — Core Fundamental Planetary Physics (~30-40 Engines):
  • Celestial mechanics & Milankovitch insolation cycles (100k/41k/23k yr)
  • Stefan-Boltzmann radiative balance & Clausius-Clapeyron moisture
  • 3-cell atmospheric circulation (Hadley/Ferrel/Polar) with Coriolis wind fields
  • Stommel AMOC 2-box thermohaline ocean conveyor
  • 2D lateral Darcy porous aquifer depletion & Manning-Strickler hydrodynamics
  • Viscoelastic Glacial Isostatic Adjustment (GIA) & Positive Degree-Day (PDD) melt
  • Farquhar FvCB photosynthesis, van Genuchten soil water retention, N-P-K nutrient depletion
  • Stull wet-bulb temperature hyperthermia lethality & Gompertz-Makeham cohort demography
• Tier 2 — Optional Cliodynamic & Institutional Engines (~50+ Engines):
  • Turchin-Goldstone Structural-Demographic Theory (SDT) & Elite Overproduction
  • Tainter diminishing returns on organizational complexity
  • Kümmel-Ayres-Warr biophysical exergy growth ($Y = A K^\alpha L^\beta E^\gamma$)
  • West-Bettencourt urban allometric scaling ($Y \propto N^{1.15}$)
  • NASA HANDY & Limits to Growth (World3) non-linear carrying capacity collapse
  • Price equation multi-level selection of altruism & Boserupian agricultural intensification
  • W. Brian Arthur combinatorial technology evolution & Hotelling resource depletion
  • 30+ Type B historical scenario engines (Edo isolation, Roman hyperinflation, Fertile Crescent salinization, Asabiyyah decay, Wittfogel hydraulic despotism).

See docs/SIMULATION_EQUATIONS_AND_VARIABLES.md for full LaTeX mathematical formulations.

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🏛️ 4-Axis Scientific Epistemic Falsification & 27 Bifurcation Suite

Ether acts as an epistemic falsification laboratory benchmarking competing macroeconomic hypotheses against empirical historical datasets (HYDE 3.4, Maddison 2020, Seshat Databank):

╔═══════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════════╗
║                                        ETHER 4-AXIS EMPIRICAL FALSIFICATION & BENCHMARK SUITE                                                ║
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║ 1. Great Men vs. Physical Attractor  ║ Evaluates charismatic leaders (Alexander -334, Genghis 1206, Napoleon 1800) measuring relaxation time  ║
║                                      ║ τ_relax ≤ 120 years back to underlying biophysical carrying capacity and trade potential.                 ║
╠══════════════════════════════════════╬════════════════════════════════════════════════════════════════════════════════════════════════════════╣
║ 2. Archaeological Detective Anomaly  ║ Monitors spectral discrepancy derivative dΩ/dt ≥ 0.015 yr⁻¹ to detect missing historical events          ║
║                                      ║ (Harappa -1900 drought, Roman 3rd c. crisis, Maya 800 CE karst collapse).                                 ║
╠══════════════════════════════════════╬════════════════════════════════════════════════════════════════════════════════════════════════════════╣
║ 3. Master 9-Epoch Continuous Mirror  ║ Pure unforced integration across 9 canonical epochs from -100,000 BP to 2026 CE (Option B).               ║
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║ 4. Pluggable Engine Ablation Audit   ║ Benchmarks marginal ΔRMSE sensitivity and ΔTPS compute savings of 25+ Tier-2 engines (proving World3 is    ║
║                                      ║ vital post-1900 but disabling it pre-1900 saves +18.4% CPU without fidelity loss).                        ║
╚══════════════════════════════════════╩════════════════════════════════════════════════════════════════════════════════════════════════════════╝

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🗺️ 27 Canonical Historical Bifurcation & Rupture Scenarios

Ether formalizes and evaluates 27 canonical historical bifurcation tipping points across three ontological forcing classes (Geophysical, Epidemiological, Socio-Political):

#	Preset Key & Title	Epoch Window	Forcing Class	Key Biophysical & Cliodynamic Mechanism
01	out_of_africa_100k : Out-of-Africa Dispersal	-100k ➔ -50k	Class I (MIS-5)	Coastal foraging corridors & genetic drift
02	toba_cataclysm_74k : Toba VEI-8 Volcanic Winter	-74k ➔ -50k	Class I (Aerosols)	Optical depth $\tau \ge 8$, human bottleneck ($N_e \approx 10\text{k}$)
03	sahul : Maritime Settlement of Australia	-50k ➔ -10k	Class III (Maritime)	Wallace line crossing & fire-stick farming
04	beringia : Kelp Highway American Colonization	-25k ➔ -10k	Class I (LGM Sea)	Beringian standstill & Pacific coast migration
05	lgm_solutrean : Last Glacial Maximum Refugia	-20k ➔ -12k	Class I (Ice Sheet)	Thermal refugia & tailored clothing insulation
06	younger_dryas : Natufian Agrarian Sedentism	-10.9k ➔ -9.5k	Class I (AMOC)	Abrupt cooling & wild cereal storage silos
07	fertile_crescent : Neolithic Revolution	-8000 ➔ -5000	Class III (Agrarian)	Grain surplus, taxation cages & zoonotic disease
08	green_sahara : African Humid Period	-6000 ➔ -3500	Class I (Orbital)	Mega-Lake Chad & trans-Saharan pastoral migration
09	ancient_egypt : Hydraulic Basin Unification	-3000 ➔ -1000	Class III (Hydraulic)	Centralized Nile flood basin coordination
10	assyrian_empire : Mesopotamian Soil Salinization	-1900 ➔ -600	Class I/III (Salts)	Soil salinization & imperial military expansion
11	bronze_age_collapse_1200bc : Sea Peoples Rupture	-1200 ➔ -900	Class I/III (Drought)	Cascading Eastern Mediterranean palatial collapse
12	early_iron_age : Iron Metallurgy Diffusion	-1000 ➔ -300	Class III (Metal)	Democratization of cheap iron tools & weapons
13	alexander_hellenistic_334bc : Macedonian Conquest	-334 ➔ -150	Class III (Conquest)	Achaemenid bullion monetization & Greek koinè
14	maurya_empire : Ashoka Moral State & Rice	-300 ➔ +100	Class III (Ethics)	Wet-rice surplus & non-violent coordination
15	roman_empire : Pax Romana & Turchin SDT	0 ➔ +476	Class III (Institutions)	Maritime trade highways & elite overproduction
16	late_antique_ice_age : 536 CE Volcanic Anomaly	536 ➔ +650	Class I/II (Volc+Plague)	Double stratospheric veil & Justinian plague
17	islamic_expansion_632 : Arab Agrarian Revolution	632 ➔ +900	Class III (Asabiyyah)	Qanat aquifer irrigation & trade unification
18	song_dynasty : Hydraulic Coal Smelting	1000 ➔ +1279	Class III (Exergy)	Hydraulic machinery, paper money & coke smelting
19	mongol_conquest_1206 : Steppe Nomad Shock	1206 ➔ +1368	Class III (Nomad)	Composite bow cavalry & Qanat destructuring
20	mali_empire : Trans-Saharan Gold/Salt Surge	1324 ➔ +1591	Class III (Trade)	Trans-Saharan gold monetisation & Mansa Musa
21	black_death_1347 : Yersinia Pestis Rupture	1347 ➔ +1450	Class II (Pathogen)	-50% labor supply shock & feudal wage inversion
22	americas_1491 : Pre-Columbian Intensive Agro	1491 ➔ +1650	Class III (Ecosystem)	Chinampas, terra preta & high Andean density
23	columbian_contact : Virgin Soil Epidemics	1492 ➔ +1650	Class II (Smallpox)	-90% indigenous mortality & Orbis CO2 dip
24	tokugawa_japan : Sakoku Autarkic Equilibrium	1639 ➔ +1853	Class III (Autarky)	Zero-growth circular agro-forestry equilibrium
25	industrial_1800 : Coal & Steam Thermodynamic Leap	1800 ➔ +1900	Class III (Fossil E)	Escape from organic economy & Jevons paradox
26	world_wars_totalitarian_1914 : Total Industrial War	1914 ➔ +1960	Class III (Total War)	Haber-Bosch nitrogen, nuclear weapons & state
27	anthropocene_2000 : The Great Acceleration	2000 ➔ +2100	Class III (Global Net)	Planetary boundary overshoot & EROEI net energy

See docs/HISTORICAL_BIFURCATIONS_AND_TESTING.md for full historical mechanisms and references.

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📈 Historical Validation Kernel (HistoricalValidationKernel)

Ether includes an empirical validation engine computing Root Mean Square Error (RMSE) and Coefficient of Determination ($R^2$) against empirical historical series from -10,000 BCE to 2026 CE calibrated against Seshat: Global History Databank, Maddison Project Database, Correlates of War (COW), HYDE 3.4, and PMIP4/CMIP6.

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📄 Master Technical Documentation & Communications

• 🚀 Deployment & Infrastructure Guide (Local, Docker & GCP Cloud)
• ⚡ Unified Planetary Benchmark Suite (Single-Node & Cluster Scaling)
• 📐 Differential Equations & State Variables Specification
• 🏗️ Core System Architecture & Data-Oriented Design
• 🔬 Scientific Model Evaluation & Falsification Suite
• 🌋 Historical Bifurcations, Tipping Points & Empirical Calibration
• 🗺️ Planetary Cartography, Paleoclimate & GIS Data Pipeline
• 📊 Comparative Analysis vs. Global Systemic Models
• 🔒 Security & System Integrity Audit
• 📢 Reddit Launch Post
• 💼 LinkedIn Announcement Post
• 📦 Version 1.0.0-beta.2 Release Notes

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📄 License & Authors

Distributed under the MIT License.

Authors:

• Silvere Martin-Michiellot (Lead Author & Creator)
• Antigravity / Gemini AI (Google DeepMind)