IDEAS home Printed from https://ideas.repec.org/a/igg/jaec00/v12y2021i4p18-38.html
   My bibliography  Save this article

Cladistic Analysis of the Evolution of Some Aramaic and Arabic Script Varieties

Author

Listed:
  • Osama A. Salman

    (Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, Hungary)

  • Gábor Hosszú

    (Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, Hungary)

Abstract

The main objective of this paper is to demonstrate that the developed exploratory data analysis algorithm can be applied to the processing of pattern systems, data sets, and their cladistic modelling. Pattern systems are specific representations of symbolic communication, consisting of symbols and the syntactic rules that govern their use. Among the pattern systems, the authors focus specifically on those exhibiting temporal evolution, particularly historical scripts. The cladistic method presented has been applied to selected varieties of Arabic and Aramaic scripts. The cladistic models were created by the maximum parsimony and the maximum likelihood methods; three indexes evaluated the obtained cladograms, namely length, consistency index, and retention index. To find the most parsimonious tree and optimize the initial brute-force searching, the branch and bound and heuristic searching optimization methods were applied. The results that have been getting from different methods were plotted on cladograms.

Suggested Citation

  • Osama A. Salman & Gábor Hosszú, 2021. "Cladistic Analysis of the Evolution of Some Aramaic and Arabic Script Varieties," International Journal of Applied Evolutionary Computation (IJAEC), IGI Global, vol. 12(4), pages 18-38, October.
    • Handle: RePEc:igg:jaec00:v:12:y:2021:i:4:p:18-38
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJAEC.2021100103
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jaec00:v:12:y:2021:i:4:p:18-38. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.