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Classification of Complex Systems Based on Transients

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F20%3A00346161" target="_blank" >RIV/68407700:21730/20:00346161 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1162/isal_a_00260" target="_blank" >https://doi.org/10.1162/isal_a_00260</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1162/isal_a_00260" target="_blank" >10.1162/isal_a_00260</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Classification of Complex Systems Based on Transients

  • Original language description

    In order to develop systems capable of modeling artificial life, we need to identify, which systems can produce complex behavior. We present a novel classification method applicable to any class of deterministic discrete space and time dynamical systems. The method distinguishes between different asymptotic behaviors of a system's average computation time before entering a loop. When applied to elementary cellular automata, we obtain classification results, which correlate very well with Wolfram's manual classification. Further, we use it to classify 2D cellular automata to show that our technique can easily be applied to more complex models of computation. We believe this classification method can help to develop systems, in which complex structures emerge.

  • 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

    367-375

  • 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