Toolbox for Evolutionary Game Theory.

Simulate evolutionary biology models with Gillespie algorithm.

Digital evolution model dedicated to bacterial in silico experimental evolution.

A two-player dynamic game where deep Q-learning agents collaborate to find optimal solutions to a stochastic version of the graph coloring problem, featuring α-Rank for joint policy ranking and evaluation.

System to simulate individual interactions and capture ecological and evolutionary dynamics

This repository contains Python and NetLogo simulations based on the paper "The conditional defector strategies can violate the most crucial supporting mechanisms of cooperation" (Scientific Reports, 2022). The models explore evolution of cooperation, conditional defection, and mechanisms like kin selection, spatial structure, and punishment.

4th Year Project - Optimal Control of Directed Evolution

Résolution du Paradoxe de Levinthal et de l'Abiogenèse par la Frustration Géométrique. La vie comme état métastable de la matière, pilotée par la minimisation de l'énergie libre sur des paysages rugueux.

Evolutionary dynamics in tree networks

Framework for testing strategic reasoning in LLMs using evolutionary Iterated Prisoner’s Dilemma tournaments. Features 28 agents, variable horizons, memory conditions, high-concurrency execution, and detailed analysis of cooperation rates, strategic fingerprints, and LLM decision rationales across providers and temperatures.

Code Availability for "Generalized queueing-based evolutionary dynamics rescues cooperation in social dilemmas."

The FIT (Force–Information–Time) Framework is a falsifiable, phase-conditional framework for analyzing evolutionary dynamics across systems.