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Multi-agent communication system with chatbots.

Author(s)
Zojan Memon Department of Information Technology, Quaid-e-Awam University of Engineering, Science & Technology, Nawabshah, Pakistan
Akhtar Hussain Jalbani Department of Information Technology, Quaid-e-Awam University of Engineering, Science & Technology, Nawabshah, Pakistan
MOHSIN SHAIKH Department of Information Technology, Quaid-e-Awam University of Engineering, Science & Technology, Nawabshah, Pakistan
Rafia Naz Memon Department of Information Technology, Quaid-e-Awam University of Engineering, Science & Technology, Nawabshah, Pakistan
Ahmed Ali Department of Information Technology, Quaid-e-Awam University of Engineering, Science & Technology, Nawabshah, Pakistan
Abstract
It has been found that communication is actually important in our lives; without it is difficult to accomplishsomething. It becomes possible with the support of the technology that is being used today; now it is easyto communicate as faster and much easier. A type of an agent called Chatbot is a conversational agent ora special kind of a program which had been specifically designed to replicate an intelligent chat with asingle or multiple human users by using auditory or text based techniques. Chatbots are become aninnovative application of industrial and research domains which specifically represent human to machineinteraction systems. In technical perspective, efficacy of chatbots can be enhanced by designing multi-agent communication system using novel mechanisms. Although our study focuses on building chatbotsthat sustain agents in collaborative learning by interacting with one or more chat agents. The proposedresearch is based on client server chatbots so that they will be capable to communicate by sending andreceiving questions and responses. In this article we have present the design and implementation of twochatbots interaction. This consists of KR (Knowledge Reorganization) system, NLP (Natural LanguageProcessing), KB (Knowledge Base) to handle its intelligent capabilities and client server socket systemfor integration. It has been implemented through Java
Publication Details
Page(s) 663-672
Published Journal: Mehran University Research Journal of Engineering and Technology, Volume: 37, Issue: 3, Year: 2018

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Keywords
Knowledge Based Systems., Chatbots, Agent Interaction, irtual Reality
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