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Visualizing computation in large-scale cellular automata

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F20%3A00347772" target="_blank" >RIV/68407700:21730/20:00347772 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1162/isal_a_00277" target="_blank" >https://doi.org/10.1162/isal_a_00277</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1162/isal_a_00277" target="_blank" >10.1162/isal_a_00277</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Visualizing computation in large-scale cellular automata

  • Original language description

    Emergent processes in complex systems such as cellular automata 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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    ALIFE 2020: The 2020 Conference on Artificial Life

  • ISBN

  • ISSN

    1064-5462

  • e-ISSN

    1530-9185

  • Number of pages

    9

  • Pages from-to

    239-247

  • Publisher name

    University of Vermon

  • Place of publication

    Vermon

  • Event location

    virtual

  • Event date

    Jul 13, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article