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Towards a Bio-Inspired Theoretical Linguistics to Model Man-Machine Communication
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Author(s): Gemma Bel-Enguix (Laboratoire d’Informatique Fondamentale, CNRS-Aix-Marseille University, Marseille, France)and M. Dolores Jiménez-López (Research Group on Mathematical Linguistics, Universitat Rovira i Virgili, Tarragona, Spain)
Copyright: 2013
Volume: 1
Issue: 1
Pages: 15
Source title:
International Journal of Robotics Applications and Technologies (IJRAT)
Editor(s)-in-Chief: Dan Zhang (York University, Canada)
DOI: 10.4018/ijrat.2013010102
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Abstract
The paper 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.
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