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All Journal IAES International Journal of Artificial Intelligence (IJ-AI)
Salama A. Mostafa
Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia
Computer Science & IT Engineering

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The role of chatterbots in enhancing tourism: a case study of Penang tourism spots Vinothini Kasinathan; Aida Mustapha; Mohamad Firdaus Che Abdul Rani; Salama A. Mostafa
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 9, No 4: December 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v9.i4.pp569-575

Abstract

Chatterbots have been widely used as a tool for conversational booking assistance mainly for hotels such as the Expedia. This paper extends the use of chatterbot beyond booking by presenting the proof of concept of a chatterbot expert system called the VIZARD. The proposed VIZARD is developed using an expert system shell called verbot. The core of Vertbot 5 is the natural language processing (NLP) engine based on pattern matching. The core Verbot 5 engine is responsible for finding matches to a given user input string and firing the appropriate rule. The findings from the user acceptance test concluded that majority of the respondents agreed that the VIZARD expert system stands at an unbiased state while being more aligned on supporting the usefulness of the system.
A general framework of genetic multi-agent routing protocol for improving the performance of MANET environment Mustafa Hamid Hassan; Mohammed Ahmed Jubair; Salama A. Mostafa; Hazalila Kamaludin; Aida Mustapha; Mohd Farhan Md. Fudzee; Hairulnizam Mahdin
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 9, No 2: June 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (508.722 KB) | DOI: 10.11591/ijai.v9.i2.pp310-316

Abstract

These days, the fields of Mobile Ad hoc Network (MANET) have provided increasing prevalence and consequently, MANET is now a subject of considerable significance for the researchers to instigate research activities. MANET is the collaborative commitment of an assemblage of portable (or mobile) hubs (or nodes) without the necessary mediation of any unified (or centralized) gateway (or access point) or existent framework. There exists a growing inclination or course to embrace MANET for business utilization. MANET is a rising domain of research to give different services in communication to end-clients or consumers. However, these communication services of MANET utilize a large amount of transfer speed (or bandwidth) and a huge measure of web speed. Bandwidth optimization is essential in different information interchanges for fruitful acknowledgement and the application of such a technological innovation. This paper integrates the Genetic Algorithm (GA) and the Multi-Agent System (MAS) to improve the QoS requirements. The proposed framework called Genetic Multi-Agent Routing Protocol (GMARP). The aims of the proposed framework are to utilize the benefits of both approaches in order to fulfil QoS such as (delay, bandwidth, and the number of hops) in the different types of routing conventions (or protocols) such as being (proactive and reactive). In this paper is a simulation scenario to demonstrate the ability of the proposed framework to be satisfied with QoS requirements.
Co-Authors Aida Mustapha Hairulnizam Mahdin Hazalila Kamaludin Mohamad Firdaus Che Abdul Rani Mohammed Ahmed Jubair Mohd Farhan Md. Fudzee Mustafa Hamid Hassan Vinothini Kasinathan