IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Towards a Bio-Inspired Theoretical Linguistics to Model Man-Machine Communication

Towards a Bio-Inspired Theoretical Linguistics to Model Man-Machine Communication
View Sample PDF
Author(s): Gemma Bel-Enguix (CNRS-Aix-Marseille University, France)and M. Dolores Jiménez-López (Universitat Rovira i Virgili, Spain)
Copyright: 2014
Pages: 16
Source title: Computational Linguistics: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-4666-6042-7.ch070

Purchase

View Towards a Bio-Inspired Theoretical Linguistics to Model Man-Machine Communication on the publisher's website for pricing and purchasing information.

Abstract

The article provides an overview of what could be a new biological-inspired linguistics. The authors discuss some reasons for attempting a more natural description of natural language, lying on new theories of molecular biology and their formalization within the area of theoretical computer science. The authors especially explore three bio-inspired models of computation –DNA computing, membrane computing and networks of evolutionary processors (NEPs) – and their possibilities for achieving a simpler, more natural, and mathematically consistent theoretical linguistics.

Related Content

Reinaldo Padilha França, Ana Carolina Borges Monteiro, Rangel Arthur, Yuzo Iano. © 2021. 21 pages.
Abdul Kader Saiod, Darelle van Greunen. © 2021. 28 pages.
Aswini R., Padmapriya N.. © 2021. 22 pages.
Zubeida Khan, C. Maria Keet. © 2021. 21 pages.
Neha Gupta, Rashmi Agrawal. © 2021. 20 pages.
Kamalendu Pal. © 2021. 14 pages.
Joy Nkechinyere Olawuyi, Bernard Ijesunor Akhigbe, Babajide Samuel Afolabi, Attoh Okine. © 2021. 19 pages.
Body Bottom