Multi-agent representation of limited natural language subset

Authors

  • Dana Gisovna Makoeva Institute of Computer Science and Problems of Regional Management – branch of Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences
  • Arsen Mukharbievich Ksalov Institute of Computer Science and Problems of Regional Management – branch of Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences
  • Murat Armanovich Nagoev Institute of Computer Science and Problems of Regional Management – branch of Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences

Keywords:

multi-agent systems, neurocognitive architecture, natural language processing, intelligent agents

Abstract

This paper investigates the use of multi-agent system for natural  language recognition, understanding and synthesis. We have combined two approaches for distributing linguistic knowledge among agents: lexical-structural distribution approach and cognitive-linguistic distribution approach.

About authors

Dana Gisovna Makoeva

Institute of Computer Science and Problems of Regional Management – branch of Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences

Head of Department of computational linguistics

PhD in philology 

Arsen Mukharbievich Ksalov

Institute of Computer Science and Problems of Regional Management – branch of Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences

Department of computational linguistics
Researcher

Murat Armanovich Nagoev

Institute of Computer Science and Problems of Regional Management – branch of Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences

Department of computational linguistics
Researcher

Информационное общество, 2023, выпуск 4

Published

31.08.2023

How to Cite

Makoeva, D. G., Ksalov, A. M., & Nagoev, M. A. (2023). Multi-agent representation of limited natural language subset . Information Society, (4), 147-157. Retrieved from http://infosoc.iis.ru/article/view/897

Issue

No. 4 (2023): Making sense of digital technologies

Section

Information society technologies

Copyright (c) 2023 Дана Гисовна Макоева, Арсен Мухарбиевич Ксалов , Мурат Арманович Нагоев

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.