Compare theories
of risky choice.

Configure a one-period lottery experiment, inspect each model’s assumptions, and compare backend-supplied outcomes. This is not a claim of predictive accuracy.

Open general experiment builder

01 / DESIGN

Experiment specification

One period · independently funded lotteries

Loading model catalog…

Experiment templateSelect an experiment design.Primary modelModel definition supplied by catalog.

Model parameters

These are editable illustrative assumptions—not published or calibrated values.

ILLUSTRATIVE

Risk aversion (rho)

dimensionless

Illustrative starting assumption.

Compare against

Load the catalog to choose comparison models.

02 / POPULATION & INCENTIVES

Inputs are minor monetary units

Agents1–32 independently funded agents.Initial wealthIllustrative default: 1,000 minor units.Reference pointIllustrative default: 1,000 minor units.

Incentive magnitudesComma or space separated; 1–8 positive whole numbers.Replications1–20 independent runs per cell.Master seedNon-negative integer for reproducibility.

Seed policyApplied to model comparisons.Choice ruleRule is passed to the backend.TemperatureIllustrative assumption; measured in the selected model’s value units and must be positive.

Run a parameter sensitivity sweep

Backend runs are capped at 120 runs and 32 agents.

Compare theoriesof risky choice.

Experiment specification

Model parameters

Compare theories
of risky choice.