An LLM-based agent simulation framework that simulates human behavior and generates dynamic, text-based social graphs.

Computational simulation framework for analyzing trading behavior in climate prediction markets

Innovation Diffusion Modeling using Agent-Based Simulation

The modular library of the "Network for Agent-based modelling of Socio-ecological systems in Archaeology" (NASSA)

Simulating Urban Flows. A project for the grant 'Understanding Urban Movements through Big Data and Social Simulation'.

⚛️ [Rebuilt for Azure OpenAI] A Multi Agent Simulator 🤖 Visualize Agent interactions

Animating and creating scroll-responsive features to create a more interactive way to experience my paper, "Shadows of Future Minds: A Game Theoretic Approach to Novel Agent Emergence".

Simple implementation of the Yard-Sale Model of Asset Exchange in economics.

Containerized versions of the megadapt theoretical and empirical models

Agent-based model to simulate COVID-19 transmission.

SYNAPSE: AI-Driven Adaptive Software Engineering

CovidSIM Agent-Based Model

Website for the Agent-Based Modelling or Urban Systems workshop, held every year at AAMAS

Extension of the Agent-Based Model of Llerena & Lorentz (2004) through endogeneisation of the markups, the labour market and the wage setting dynamics to simulate their cyclizing role in growth, firms' evolution and technical change in a Kaleckian/Goodwinian framework.

This repository will contain the code for generating (Java) and analysing (R programming language) a simple multi-Agent Based Model (mABM) of patients in a 2D continuous space. The idea is to simulate (i) causal diagrams for interference, (ii) ABMs, and the contagion of a disease thought a social network.

This repository includes the model code + GUI for the research paper "Endogenous viral mutations, evolutionary selection, and containment policy design" published in the Journal of Economic Interaction and Coordination. You can find the paper here: https://link.springer.com/article/10.1007/s11403-021-00344-3

This project enables a quadcopter to autonomously achieve desired control behaviors such as takeoff and landing. Controls designed with a reinforcement learning approach.

Mesterséges intelligencia I. projektmunka

Agent-based simulation to assess different rules for challenges in open innovation

Full-stack application that complements the City-Simulator