Cellular Automata: How to become an artist with a few lines of code
summary
Implements cellular automata in Scala with a Scala case class for cells, a board as a position→cell map, and an iterator that produces successive boards; concrete examples include Game of Life, Langton’s ant and a multicolor-ant variant whose colors mix, all available on GitHub and running in real time. Claims 90% of code is reusable and only ~10% is rule-specific, and using parallel map gives a large performance boost for independent cell updates.
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chapters (24)
- 0:00Cellular automata intro
- 1:53What are cellular automata
- 4:24History of cellular automata
- 6:58Modeling complex systems
- 9:08Generating art with automata
- 9:33Game of Life explained
- 11:24Game of Life in Scala
- 13:55Edge cases in boards
- 15:21Toroidal boards
- 16:47Automaton evolution iterator
- 17:51Langton’s Ant behavior
- 20:44Common automaton patterns
- 22:50Langton’s Ant simulation
- 23:58Colorful Langton’s Ant
- 25:50Cellular automata for AI
- 27:58AI training with automata
- 29:21Artificial intelligence in game NPC behavior
- 31:44Simplifying NPC AI
- 32:27Trace automaton example
- 33:33Resources and projects
- 34:37Explore creative coding
- 37:10Q&A: Scala vs Rust
- 38:13Q&A: Keyhole navigation
- 38:57Q&A
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