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A sandbox game/simulator that demonstrates machine learning with evolutionary algorithms. Inspired by Karl Sims' Evolving Virtual Creatures.
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This project aims to simulate the evolution of a population of creatures, with customizable restraints. Each creature is represented by a circle, while each unit of food is represented by a tiny circle. The goal of the creatures is to eat as much food as possible before the time runs out.
Simulation of agents with intelligent autonomous behaviours in a physical world, allowing survival of only the fittest. Read the next few cards to understand some of the mechanics and reach a conclusion. skip intro.
Galaxy simulation using barnes-hut and direct algorithms. Backend by Josiah Putman and frontend by Angela He.
Evoplex is a fast, robust and extensible platform for developing agent-based models and multi-agent systems on networks. It's available for Windows, Linux and macOS. agent cross-platform cpp graph simulation cellular-automata biological-simulations abm multi-agent evolutionary-algorithms mas monte-carlo-simulation agent-based-modeling agent ...
Evolution is a sandbox game / simulator that demonstrates machine learning with evolutionary algorithms. It is inspired by Karl Sims' Evolving Virtual Creatures and many other similar evolutionary algorithm simulations.
Evolve - GitHub Pages