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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.
Evolution by Keiwan. Download Now. Use joints, bones and muscles to build creatures that are only limited by your imagination. Watch how the combination of a neural network and a genetic algorithm can enable your creatures to "learn" and improve at their given tasks all on their own.
Evolution is available to play for free in the browser without the ability to save your creatures or simulations. You can also purchase the game on various other platforms, where you can also save, import and export your creations.
A Javascript web application to explore and experiment with evolutionary computation principles. playground genetic-algorithm evolution-simulation.
Use the two top buttons to spawn creatures with random traits. Use the input boxes in the custom creature menu to create a creature and then press spawn to place it on a random position on the screen. Kill all creatures does what it sounds like.
