Agent Based Modelling

Role

Developer - University Project (Artificial Life with Robotics)

This project was developed for the Artificial Life with Robotics course as an agent-based simulation in NetLogo. The model investigates how an infectious disease spreads across two interacting populations over time and how intervention policies change infection and mortality outcomes.

Assignment Scope

Simulated two populations with independent regions (turquoise and magenta).
Tested regional movement constraints (local-only movement vs unrestricted movement).
Compared social distancing vs no social distancing.
Compared self-isolation after an undetected transmission period vs no self-isolation.
Modeled infection, illness progression, survival, immunity development, and antibody decay over time.

Technical Implementation

Built on default NetLogo turtles without custom breeds, aligned with assignment constraints.
Implemented infection probability using configurable infection_rate (0-100).
Implemented illness countdown with infected_time and post-recovery immunity with antibody timers.
Updated real-time global metrics each tick, including:
- infection percentages (total and by population)
- deaths (total and by population)
- antibody/immunity percentages (total and by population)
Structured setup and execution flow through separate procedures:
- setup_world
- setup_agents
- run_model

Demo Video

Key Outcomes

Delivered a stable simulation that follows strict course requirements and runtime constraints.
Produced a reusable experiment setup for comparing policy effects on spread and mortality.
Built clear output metrics to support analysis of intervention effectiveness across both populations.

Skills

Agent-Based Modelling
NetLogo
Artificial Life Simulation
Disease Spread Modeling
Data Analysis
Simulation Design