Welcome to the InfoSci Platform
Reference Hub1
Cladistic Analysis of the Evolution of Some Aramaic and Arabic Script Varieties

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

Osama A. Salman, Gábor Hosszú
Copyright: © 2021 |Volume: 12 |Issue: 4 |Pages: 21
ISSN: 1942-3594|EISSN: 1942-3608|EISBN13: 9781799860792|DOI: 10.4018/IJAEC.2021100103
Cite Article Cite Article

MLA

Salman, Osama A., and Gábor Hosszú. "Cladistic Analysis of the Evolution of Some Aramaic and Arabic Script Varieties." IJAEC vol.12, no.4 2021: pp.18-38. http://doi.org/10.4018/IJAEC.2021100103

APA

Salman, O. A. & Hosszú, G. (2021). Cladistic Analysis of the Evolution of Some Aramaic and Arabic Script Varieties. International Journal of Applied Evolutionary Computation (IJAEC), 12(4), 18-38. http://doi.org/10.4018/IJAEC.2021100103

Chicago

Salman, Osama A., and Gábor Hosszú. "Cladistic Analysis of the Evolution of Some Aramaic and Arabic Script Varieties," International Journal of Applied Evolutionary Computation (IJAEC) 12, no.4: 18-38. http://doi.org/10.4018/IJAEC.2021100103

Export Reference

Mendeley
Favorite Full-Issue Download

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.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.