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Evolution 

| Developer: Keiwan | Cost: Free | Play Here: ​https://keiwan.itch.io/evolution
Who Can Play: Ages 4-99 | Fun Factor: 8/10 | Learning Curve: minimal | Installation: not required | Time Commitment: 10 mins
Evolution is an excellent playground for children and adults to explore how machines can learn in an unsupervised manner. The player simply creates a creature consisting of joints, bones, and muscle. Hit the "Evolve" button and the creature starts experimenting how to most effectively move down a line. As this game applies evolutionary principles to neural network learning, it basically creates (differently configured neural networks) parallel creates and has them all trying to run down the same line. The evolutionary algorithm scores creatures higher that make it further down the line and eliminates the ones that stay too far behind. 

Why This Is Interesting
1. See how evolution sometimes comes up with very surprising but effective "designs."
2. Make small or large changes to a creature and observe how this can change its learning process slightly or significantly.
3. Get a feeling for how the selection of the best possible learning models can leave behind promising, but initially unsuccessful "designs."
Beginning (Generation 7): My stickman falls over and moves a lot faster by crawling on all fours.
Later (Generation 40): There are only a few upright creatures left. The crawlers are clearly more successful at getting down the line. 
Much Later (Generation 73): Upright walking stickmen have entirely died out in favor of the more successful crawlers. 
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Lesson learned: When you look at the video you can see one of the left behind stickmen making good progress learning to walk upright, but is ultimately weeded out for being too far behind the "crawlers." Try it out, it is fascinating.  

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  • Home
  • MLOps
    • EMA Top 3 Award Product Showcases >
      • Cisco Hyperflex
      • Cloudera Data Platform
      • Red Hat OpenShift
    • MLOps Topic Map
    • MLOps Research Facts
    • MLOps by Persona
    • Machine Learning Topic Map
    • Machine Learning Job Requirements
    • MLOps Quotes from the Trenches
  • Observability
  • Products to Watch
    • EMA Products to Watch - Infrastructure as Code - Pulumi
  • EMA Research Facts
    • Trends 2022
    • Observability
    • Machine Learning Research Facts
    • Multi-Cloud
    • Hybrid Cloud
    • Cost Challenges
    • Site Reliability Engineering
    • Kubernetes
    • Digital Transformation
  • Machine Learning for Kids
    • BERT for Kids
    • Evolution
    • NLP-Jurassic-1
  • FAQ
  • New Page