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Conversational systems or chatterbots converse/chat by learning from their interactions with users. To do this the systems must have an adaptive knowledge base that can be updated by the systems themselves. RONE is a teletext based conversational system. RONEs knowledge base is built using SQL and accessed using the main application. Additionally, RONE uses conjunctions and prepositions as markers to expedite the dissemination and storage of information which helps him learn. This book covers the approach RONE uses to break up new information for learning purposes the principle technique introduced here being the storage of information in a format to answer all the possible questions directly without inference. We also look at other conversation based learning approaches and their limitations. Further, we compare RONEs performance against some contemporary conversational systems and provide evidence of the relative superior informational accuracy of RONEs responses to user interrogation.
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