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Evolution of Complex Emergent Behaviour in Multi-State Cellular Automata

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F16%3APU121624" target="_blank" >RIV/00216305:26230/16:PU121624 - isvavai.cz</a>

  • Result on the web

    <a href="http://dl.acm.org/citation.cfm?id=2930947" target="_blank" >http://dl.acm.org/citation.cfm?id=2930947</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1145/2908961.2930947" target="_blank" >10.1145/2908961.2930947</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Evolution of Complex Emergent Behaviour in Multi-State Cellular Automata

  • Original language description

    The paper presents a special technique, called conditionally matching rules, for the representation of transition functions of cellular automata and its application to the evolutionary design of complex emergent behaviour. The square calculation in one-dimensional cellular automata and problem of designing replicating loops in two-dimensional cellular automata will be treated as case studies. It will be shown that the evolutionary algorithm in combination with the conditionally matching rules is able to successfully solve these tasks and provide some innovative results in comparison with the existing solutions.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA14-04197S" target="_blank" >GA14-04197S: Advanced Methods for Evolutionary Design of Complex Digital Circuits</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion

  • ISBN

    978-1-4503-4323-7

  • ISSN

  • e-ISSN

  • Number of pages

    2

  • Pages from-to

    157-158

  • Publisher name

    Association for Computing Machinery

  • Place of publication

    New York

  • Event location

    Denver

  • Event date

    Jul 20, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000383741800079