Experiment details

#1 · Example: v2 quick demonstration (olive ground cover)

Completed Model v2.0.0 Frontier protocol public example SYNTHETIC
Created 2026-10-30 20:56 UTC · finished 2026-10-30 20:56 UTC · 7.0 s
All 740 runs completed and were stored. Open results & analytics.

Small expenditure-matched comparison on SYNTHETIC olive growers.

Configuration

Population sizes N
100
Horizon T
12 periods
Repetitions
20 per cell
Configuration cells
1
Budget levels
Uncapped 0 MU/farmer
Sensitivity levels
Medium βR=1.5
Mechanisms
S0, S1, S2, S3, S3R
Budget rule
Per-period cap, carry-over
βB / βC / ρ / M
2 / 1.5 / 0.1 / 100
γ / δ / σv
0.35 / 0.25 / 0.02
S1 F
100 MU
S2 k / cap
333.33 / 200 MU
S3 tiers
0.45→50 · 0.55→100 · 0.65→150
Protocol
Frontier
η / H / φ
2 / 3 / 0.9
π(0) / k0
1 / 1
h / r
1 / 0
Sustained ≥ k seasons
4
S3R tiers
+0.1→50 · +0.2→100 · +0.3→150
λ grid / targets
{0.25, 0.5, 0.75, 1, 1.25, 1.5, 2, 2.5, 3} / 100, 200, 300, 400 MU (primary 200)
Complete configuration (JSON)
{
  "name": "Example: v2 quick demonstration (olive ground cover)",
  "description": "Small expenditure-matched comparison on SYNTHETIC olive growers.",
  "masterSeed": 20270205,
  "periods": 12,
  "repetitions": 20,
  "populationSizes": [
    100
  ],
  "budgetLevels": [
    {
      "label": "Uncapped",
      "budgetPerFarmer": 0,
      "uncapped": true
    }
  ],
  "sensitivityLevels": [
    {
      "label": "Medium",
      "betaR": 1.5
    }
  ],
  "mechanisms": [
    "S0",
    "S1",
    "S2",
    "S3",
    "S3R"
  ],
  "budgetAllocation": "PerPeriodWithCarryOver",
  "behavior": {
    "betaB": 2,
    "betaC": 1.5,
    "experienceEffect": 0.1,
    "monetaryReference": 100
  },
  "population": {
    "initialAdoptionRate": 0.1,
    "baselinePropensity": {
      "mean": -2,
      "sd": 1,
      "min": -6,
      "max": 2
    },
    "perceivedBenefit": {
      "mean": 0.5,
      "sd": 0.15,
      "min": 0,
      "max": 1
    },
    "adoptionCost": {
      "mean": 80,
      "sd": 25,
      "min": 10,
      "max": 200
    },
    "incentiveSensitivity": {
      "mean": 1,
      "sd": 0.25,
      "min": 0.1,
      "max": 2
    },
    "baselinePerformance": {
      "mean": 0.35,
      "sd": 0.1,
      "min": 0.05,
      "max": 0.8
    },
    "performanceGainPotential": {
      "mean": 0.3,
      "sd": 0.1,
      "min": 0.05,
      "max": 0.6
    }
  },
  "performance": {
    "improvementRate": 0.35,
    "decayRate": 0.25,
    "verificationNoiseSd": 0.02
  },
  "mechanismSettings": {
    "fixedReward": 100,
    "fixedRewardMinimumPerformance": 0,
    "performanceRate": 333.3333333333333,
    "performanceRewardCap": 200,
    "tiers": [
      {
        "threshold": 0.45,
        "reward": 50
      },
      {
        "threshold": 0.55,
        "reward": 100
      },
      {
        "threshold": 0.65,
        "reward": 150
      }
    ]
  },
  "modelVersion": "2.0.0",
  "v2": {
    "protocol": "Frontier",
    "practice": {
      "crop": "Olive orchards (Olea europaea), Mediterranean rain-fed conditions",
      "practice": "Maintained inter-row ground cover (sown cover crop or managed spontaneous vegetation) during the erosion-risk season, instead of bare soil kept by tillage or herbicide",
      "periodUnit": "One agricultural season (one year)",
      "decision": "Whether to maintain inter-row ground cover in the coming season (binary, taken once per season)",
      "performanceIndicator": "Verified inter-row ground-cover fraction during the erosion-risk season (0\u20131); a single observable indicator, not an aggregate sustainability score",
      "reversibility": "Reversible-seasonal: participation can start or stop every season; cover quality builds up over consecutive seasons and degrades towards the conventional level after stopping",
      "verification": "Assumed remote sensing or field inspection; participation verified without error, ground-cover fraction with Gaussian measurement error"
    },
    "persistenceStrength": 2,
    "expectationHorizon": 3,
    "expectationDiscount": 0.9,
    "initialPayoutExpectation": 1,
    "initialParticipantPerformanceSteps": 1,
    "heterogeneityScale": 1,
    "costBaselineCorrelation": 0,
    "sustainedSpellLength": 4,
    "bootstrapResamples": 1000,
    "relativeTiers": [
      {
        "threshold": 0.1,
        "reward": 50
      },
      {
        "threshold": 0.2,
        "reward": 100
      },
      {
        "threshold": 0.3,
        "reward": 150
      }
    ],
    "rewardScales": [
      0.25,
      0.5,
      0.75,
      1,
      1.25,
      1.5,
      2,
      2.5,
      3
    ],
    "spendingTargets": [
      100,
      200,
      300,
      400
    ],
    "primarySpendingTarget": 200,
    "sensitivity": {
      "points": 64,
      "seed": 20270101,
      "rewardScales": [
        0.5,
        1,
        1.5,
        2,
        3
      ],
      "factors": [
        {
          "factor": "BetaR",
          "min": 0.5,
          "max": 3,
          "isInteger": false
        },
        {
          "factor": "CostMean",
          "min": 40,
          "max": 120,
          "isInteger": false
        },
        {
          "factor": "BenefitMean",
          "min": 0.3,
          "max": 0.7,
          "isInteger": false
        },
        {
          "factor": "PropensityMean",
          "min": -3,
          "max": -1,
          "isInteger": false
        },
        {
          "factor": "Persistence",
          "min": 0,
          "max": 4,
          "isInteger": false
        },
        {
          "factor": "ImprovementRate",
          "min": 0.15,
          "max": 0.55,
          "isInteger": false
        },
        {
          "factor": "DecayRate",
          "min": 0.1,
          "max": 0.5,
          "isInteger": false
        },
        {
          "factor": "InitialPayoutExpectation",
          "min": 0.5,
          "max": 1,
          "isInteger": false
        },
        {
          "factor": "ExpectationHorizon",
          "min": 1,
          "max": 5,
          "isInteger": true
        },
        {
          "factor": "HeterogeneityScale",
          "min": 0.5,
          "max": 1.5,
          "isInteger": false
        },
        {
          "factor": "CostBaselineCorrelation",
          "min": -0.5,
          "max": 0.5,
          "isInteger": false
        }
      ]
    }
  }
}

Reproducibility

Model
AgriNudgex Participation & Persistence ABM v2.0.0 (current)
Code version (git)
40177a25d7a0ff4b6056582704ac5a33c138b0b4
Executed by
model v2.0.0 engine
Master seed
20270205
Configuration fingerprint (SHA-256)
1577c81c6de912eaf3cf71de25b23710ed69b4c3be83bddf9e11f564d3a2524c

Populations and random draws are derived from the master seed per repetition and shared across mechanisms and cells (common random numbers), so resubmitting this configuration reproduces every stored value.

Configuration cells

#NBudgetSensitivity
0 100 Uncapped
0 MU total
Medium
βR = 1.5
View