Documentation

System Overview

A structured outline of what this simulator models, how it operates, and its boundaries.

What This Is

This platform models how real people respond to incentives, friction, risk, and social influence. It does not assume perfect rationality. It translates behavioural structure into bounded probability outputs.

Inputs are policy variables. Outputs are behavioural likelihoods and adoption patterns.

What It Is Not

•Not a forecasting engine for real populations.
•Not an empirical claim about any specific country or dataset.
•Not a substitute for field trials or experimental evidence.
•Not a claim that human behaviour is fully captured by these models.

How It Works

1. You specify behavioural conditions. Incentives, defaults, probability weights, or friction.

2. The model converts those conditions into bounded likelihood functions.

3. Those likelihoods scale across a defined population size.

4. The system returns structural outputs such as expected adoption or value asymmetry.

Each model operates within a defined mathematical structure, but the interface remains consistent.

Core Assumptions

•Behaviour is probabilistic, not deterministic.
•Incentives interact with perception, not just objective value.
•Friction reduces action even when incentives are positive.
•Social adoption can amplify small initial differences.

This simulator is a structural exploration tool. It clarifies behavioural mechanisms under controlled conditions. It is designed for thinking, not prediction.