It has been found that communication is actually important in our lives; without it is difficult to accomplish something. It becomes possible with the support of the technology that is being used today; now it is easy to communicate as faster and much easier. A type of an agent called Chatbot is a conversational agent or a special kind of a program which had been specifically designed to replicate an intelligent chat with a single or multiple human users by using auditory or text based techniques. Chatbots are become an innovative application of industrial and research domains which specifically represent human to machine interaction systems. In technical perspective, efficacy of chatbots can be enhanced by designing multiagent communication system using novel mechanisms. Although our study focuses on building chatbots that sustain agents in collaborative learning by interacting with one or more chat agents. The proposed research is based on client server chatbots so that they will be capable to communicate by sending and receiving questions and responses. In this article we have present the design and implementation of two chatbots interaction. This consists of KR (Knowledge Reorganization) system, NLP (Natural Language Processing), KB (Knowledge Base) to handle its intelligent capabilities and client server socket system for integration. It has been implemented through Java.

Education is an area where innovation moves slowly. In this study, we will propose a framework with a novel approach that will support the development of a multi-interactive chatbot’s system for an educational area using AIML 2.0. The system will facilitate the students for their learning towards an outcome-based education domain. The proposed framework will be composed of a user module which consists of user and user interface, chat agents module which will respond to the user query, chatbot KB which will act as the brain for the chatbot system, and socket system for establishing the communication link. Finally, the proposed system will be evaluated using a confusion matrix. The multichatbot communication system will support text-based dialogues on a limited set of questions related to education. However, the system will be implemented in java. The outcomes of this research will be useful for the education sector where these intelligent systems will help the students in schools, universities, and other training scenarios.