mlsanityData to 7 Oct 2026

Biomaker CA: a Biome Maker project using Cellular Automata

arXiv 2307.09320 ↗First posted 18 Jul 2023cs.AI cs.LG cs.NEcited by 9

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Abstract (arXiv)

We introduce Biomaker CA: a Biome Maker project using Cellular Automata (CA). In Biomaker CA, morphogenesis is a first class citizen and small seeds need to grow into plant-like organisms to survive in a nutrient starved environment and eventually reproduce with variation so that a biome survives for long timelines. We simulate complex biomes by means of CA rules in 2D grids and parallelize all of its computation on GPUs through the Python JAX framework. We show how this project allows for several different kinds of environments and laws of 'physics', alongside different model architectures and mutation strategies. We further analyze some configurations to show how plant agents can grow, survive, reproduce, and evolve, forming stable and unstable biomes. We then demonstrate how one can meta-evolve models to survive in a harsh environment either through end-to-end meta-evolution or by a more surgical and efficient approach, called Petri dish meta-evolution. Finally, we show how to perform interactive evolution, where the user decides how to evolve a plant model interactively and then deploys it in a larger environment. We open source Biomaker CA at: https://tinyurl.com/2x8yu34s .

Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 15 of its 67 references that are in the map. First posted on arXiv 18 Jul 2023.

Builds on

15 of 67 references.

References · 15

  1. 2015Illuminating search spaces by mapping elitescited by 406
  2. 2019Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutionscited by 182
  3. 2021Open-Ended Learning Leads to Generally Capable Agentscited by 177
  4. 2020Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutionscited by 103
  5. 2017Intrinsically Motivated Goal Exploration Processes with Automatic Curriculum Learningcited by 79
  6. 2019Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agentscited by 42
  7. 2018Lenia - Biology of Artificial Lifecited by 41
  8. 2022Growing Isotropic Neural Cellular Automatacited by 19
  9. 2022Deep transfer learning for image classification: a surveycited by 13
  10. 2022Flow-Lenia: Towards open-ended evolution in cellular automata through mass conservation and parameter localizationcited by 11
  11. 2023Towards Large-Scale Simulations of Open-Ended Evolution in Continuous Cellular Automatacited by 10
  12. 2023Self-Replication, Spontaneous Mutations, and Exponential Genetic Drift in Neural Cellular Automatacited by 8
3 more
  1. 2019Evolvability ES: Scalable and Direct Optimization of Evolvabilitycited by 7
  2. 2022Powderworld: A Platform for Understanding Generalization via Rich Task Distributionscited by 6
  3. 2023Growing Steerable Neural Cellular Automatacited by 6

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 4; 2025: 2; 2026: 3.

9 papers.