Neat AI Does Conways AI Life - Allowing a neural network evolve its own patterns
Neat AI・2 minutes read
Cellular automatons are created by simple rules for reproduction and death, resulting in complex systems and interactions. Different models like Wolfram's rule set 30, Brian's brain, and Conway's Game of Life showcase unique patterns and behaviors based on these rules.
Insights
- Cellular automatons, such as Wolfram's elementary grid units and Conway's Game of Life, demonstrate how simple rules can give rise to intricate and diverse patterns and behaviors within a system.
- Brian's brain model, by including dying cells and enabling directional movement, showcases how adding complexity to cellular automatons can lead to the emergence of dynamic patterns like spaceships, highlighting the potential for evolving structures within these systems.
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Recent questions
What are cellular automatons?
Cellular automatons involve simple rules governing reproduction and death, leading to complex systems and interactions.
How many rule sets do Wolfram elementary one-dimensional grid units offer?
Wolfram elementary one-dimensional grid units offer 256 rule sets.
What is unique about rule set 30 in Wolfram's elementary grid units?
Rule set 30 in Wolfram's elementary grid units displays unique results.
What is the concept behind Brian's brain?
Brian's brain introduces dying cells, resulting in directional movement and spaceship patterns.
How does Conway's Game of Life work?
Conway's Game of Life follows simple rules for cell life and death, requiring two arrays for implementation and showcasing various patterns like gliders and basic shapes.
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