Abstract

Modern AI architectures used to solve visual reasoning tasks typically rely heavily on global connectivity and synchronization. As biological systems demonstrate, though, sophisticated computation can be performed in a more decentralized fashion. In this work, we test the reasoning capabilities of Neural Cellular Automata (NCAs), networks of recurrent cells that use strictly local connectivity and asynchronous updates. NCAs have been extensively studied in artificial life experiments, but it is unclear whether they can perform complex multi-step reasoning. We show that NCAs produce spatio-temporal dynamics capable of solving challenging visual reasoning tasks, including large mazes, Sudoku, and ARC-AGI-1. Furthermore, we provide evidence that NCAs generalize out-of-distribution when running with larger grids, longer rollouts, or parallel trials; and that the latter can be made more efficient via pruning of redundant trajectories. We find that these generalization capabilities depend on training with sample replay and stochastic perturbations, and that stochasticity remains beneficial at test time. Finally, we show that NCAs are robust reasoners capable of dynamically modulating compute to recover efficiently from damage, and that they can scale to solve reasoning in raw pixel space.

Keywords

Subject

Publication details

Journal
Not available
Open access
Green open access

Cite this article

APA 7

Etcheverry, M., Miotti, P., Sirbu, A., Schürholt, K., Drozdova, M., Ghosh, A., Arcas, B. A. Y., Manyika, J., Richards, B., & Niklasson, E. (2026). Reasoning with Neural Cellular Automata. https://omanscience.com/en/articles/reasoning-with-neural-cellular-automata

MLA 9

Etcheverry, Mayalen, et al. "Reasoning with Neural Cellular Automata." https://omanscience.com/en/articles/reasoning-with-neural-cellular-automata.

Chicago (author–date)

Etcheverry, Mayalen, Pietro Miotti, Aidan Sirbu, Konstantin Schürholt, Mariia Drozdova, Arna Ghosh, Blaise Agüera y Arcas, James Manyika, Blake Richards, and Eyvind Niklasson. 2026. "Reasoning with Neural Cellular Automata." https://omanscience.com/en/articles/reasoning-with-neural-cellular-automata.

Harvard

Etcheverry, M., Miotti, P., Sirbu, A., Schürholt, K., Drozdova, M., Ghosh, A., Arcas, B. A. Y., Manyika, J., Richards, B. and Niklasson, E. (2026) 'Reasoning with Neural Cellular Automata', Available at: https://omanscience.com/en/articles/reasoning-with-neural-cellular-automata.

Vancouver

Etcheverry M, Miotti P, Sirbu A, Schürholt K, Drozdova M, Ghosh A, et al. Reasoning with Neural Cellular Automata. https://omanscience.com/en/articles/reasoning-with-neural-cellular-automata

IEEE

M. Etcheverry, P. Miotti, A. Sirbu, K. Schürholt, M. Drozdova, A. Ghosh, B. A. Y. Arcas, J. Manyika, B. Richards, and E. Niklasson, "Reasoning with Neural Cellular Automata," https://omanscience.com/en/articles/reasoning-with-neural-cellular-automata.