Smart interactive knowledge retrieval through the classical sequence of Fibonacci numbers in the knowledge management system

Document Type : Extension

Authors

1 Faculty Member & Assistant Professor, Academic Relations and International Affairs, Agricultural Research, Education and Extension Organization (AREEO), Tehran, Iran.

2 Department of Soil Science, Faculty of Agriculture, College of Agriculture and Natural Resources, University of Tehran

Abstract

This article aims to present a new method of knowledge retrieval through an intelligent interactive system using the Fibonacci classical sequence in developing a knowledge management system. An intelligent interactive system is necessary for retrieving practical information related to user questions. This interactive system can be designed by relying on a computer program (software agent, or bot) to simulate an intelligent conversation. Bots are used as intelligent virtual assistants to simulate conversations in exchanging information and knowledge. The way to develop chatbots is to use Frequently Asked Questions (FAQ) to record questions and answers. This interactive virtual assistant between man and machine can achieve stable and acceptable intelligence in answering questions through innovative methods such as using the Fibonacci sequence. Such algorithms are specifically designed to predict the user's expected question from the database or information with the least complexity and matching the user's needs. Such knowledge-based systems can be used in specialized organizations such as Agricultural Research, Education and Extension Organizations in order to exchange information and knowledge for their employees and users. In addition, the creation of intelligent interactive systems can play an important role in providing appropriate answers to farmers' questions in agricultural sector of Iran.

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Main Subjects

Agricultural Information Sciences and Technology
Volume 7, Issue 2 - Serial Number 14
September 2024
Pages 13-21

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History

  • Receive Date: 23 June 2024
  • Revise Date: 20 August 2024
  • Accept Date: 26 August 2024

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