TARS - Chatbot

Abstract

Chatbots are intelligent mediators with which operators can hold discussions, usually via text or voice. In recent years, Chatbots have become prevalent in industries attentive on client provision. In spite of a growing interest for Chatbots in education, clear information on how to design them as intelligent instructors has been uncommon. This paper offers a formal approach for designing and applying a chatbot as an intelligent instructor for an academy level course. The approach is built upon first-order logic grounds which can be used in different commercially available tools, and attentions on two phases: information abstraction and modelling, and discussion flow. As main result of this study, we suggest mathematical meanings to model discussion elements, reasoning processes and conflict resolution to formalize the practice and make it frameworkindependent. A Chatbot allows user to simply ask questions in the same way that they would speech with human. However, Chatbots are currently being accepted at a high rate on computer chat podiums. This growth in NLP is firing a great deal of added research which should lead to sustained development in the efficiency of Chatbots in the years to come. The Chatbot will be very specific to the place where it is setup, different from other Chatbots which are very vast in functionality, this chatbot will be very specific to what information it has to provide the user with precise output.