Skip to Main content Skip to Navigation
Conference papers

Visualizing computation in large-scale cellular automata

Abstract : Emergent processes in complex systems such as cellular au-tomata can perform computations of increasing complexity, and could possibly lead to artificial evolution. Such a feat would require scaling up current simulation sizes to allow for enough computational capacity. Understanding complex computations happening in cellular automata and other systems capable of emergence poses many challenges, especially in large-scale systems. We propose methods for coarse-graining cellular automata based on frequency analysis of cell states, clustering and autoencoders. These innovative techniques facilitate the discovery of large-scale structure formation and complexity analysis in those systems. They emphasize interesting behaviors in elementary cellular automata while filtering out background patterns. Moreover, our methods reduce large 2D automata to smaller sizes and enable identifying systems that behave interestingly at multiple scales.
Complete list of metadata

https://hal.inria.fr/hal-02933012
Contributor : Hugo Cisneros <>
Submitted on : Tuesday, September 8, 2020 - 9:54:40 AM
Last modification on : Tuesday, May 4, 2021 - 2:06:03 PM

Links full text

Identifiers

Collections

Citation

Hugo Cisneros, Josef Sivic, Tomas Mikolov. Visualizing computation in large-scale cellular automata. ALIFE 2020: The 2020 Conference on Artificial Life, Jul 2020, Online, France. pp.239-247, ⟨10.1162/isal_a_00277⟩. ⟨hal-02933012⟩

Share

Metrics