(Demo) Systematic Experimentation Using Scenarios in Agent Simulation: Going Beyond Parameter Space

TL;DR

This paper introduces a disconnected ABM architecture that allows domain experts and non-programmers to incorporate qualitative insights and systematically experiment with various policy interventions and initial conditions.

Contribution

It presents a novel ABM architecture that separates roles, enabling non-programmers to modify models and conduct experiments without programmer intervention.

Findings

Enables domain experts to add qualitative insights easily.

Supports systematic experimentation with policies and initial conditions.

Facilitates interrogation of ABM through visualizations.

Abstract

This paper demonstrates a disconnected ABM architecture that enables domain experts, and non-programmers to add qualitative insights into the ABM model without the intervention of the programmer. This role separation within the architecture allows policy-makers to systematically experiment with multiple policy interventions, different starting conditions, and visualizations to interrogate their ABM