Evolution Learning Creatures is a fascinating 'God-sim' that manages to make complex biological concepts like genetic drift and natural selection accessible to a general audience. It's essentially a laboratory in your pocket. Watching your digital organisms fail, adapt, and eventually thrive in a hostile environment is strangely emotional and highly addictive.
Technically, the simulation is quite robust. You aren't just clicking buttons; you are manipulating environmental variables and watching how the 'AI' of these creatures responds. The procedural generation of traits ensures that no two evolution cycles feel identical. It’s a rare title that succeeds as both an educational tool and a compelling strategy game, proving that science can be just as entertaining as any fantasy RPG.
Available on: iPhone, iPad, iPod
Version 4.0.5Mon Oct 06 2025
This update addresses the recently discovered security vulnerability in the Unity game engine (CVE-2025-59489).
Use joints, bones and muscles to build creatures that are only limited by your imagination. Watch how the combination of neural networks and an evolutionary algorithm can enable your creatures to learn and improve at their given tasks all on their own.
The tasks include running, jumping, climbing and flying. Can you design the ultimate creature that is good at all of the tasks?
The latest update allows you to easily share your simulation saves and creature designs with your friends.
Note that this is more of a simulation than a game. There are no real objectives. But there is a lot to learn if you are interested in the basics of machine learning and neural networks. You can even look at the source code if you want.
There is also a Mac & PC version available for download and a browser version for you to try out on the main project website (keiwando.com/evolution).
Requires iOS 13.0 or later. Compatible with iPhone, iPad, and iPod touch.Use joints, bones and muscles to build creatures that are only limited by your imagination. Watch how the combination of neural networks and an evolutionary algorithm can enable your creatures to learn and improve at their given tasks all on their own.
The tasks include running, jumping, climbing and flying. Can you design the ultimate creature that is good at all of the tasks?
The latest update allows you to easily share your simulation saves and creature designs with your friends.
Note that this is more of a simulation than a game. There are no real objectives. But there is a lot to learn if you are interested in the basics of machine learning and neural networks. You can even look at the source code if you want.
There is also a Mac & PC version available for download and a browser version for you to try out on the main project website (keiwando.com/evolution).














Evolution: Learning Creatures is a powerful biological simulator where you control the threads of life. Build creatures from various body parts, define their neural networks, and unleash them into an ecosystem to see if they can survive. Using advanced genetic algorithms, the game simulates the process of natural selection. Only the most efficient creatures will pass on their traits. Witness the rise of complex behaviors as your creations learn to walk, swim, and hunt through thousands of generations.
Real-time genetic algorithm simulation
Robust creature creator with physics-based movement
Dynamic environments with varying challenges
Detailed graphs and data tracking evolutionary progress
Educational insights into natural selection
Use the editor to connect joints and bones. Assign muscles to specific parts of the body to determine how the creature will move.
Place your creature in the environment and hit play. The 'Learning' phase begins where the creature attempts to move toward a goal. The most successful versions are used to seed the next generation.
Software developer Keiwan Donyagard developed an interactive artificial intelligence demonstration in the form of an evolution simulation.
The Next Web Fri Nov 16 2018
Tweak mutation rates to see how quickly your species can adapt to new challenges like gravity changes or obstacles.
Not at all! The game is designed to teach you these concepts through experimentation.