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 tele-text based conversational system. RONE's
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 RONE's
performance against some contemporary conversational systems and
provide evidence of the relative superior informational accuracy of
RONE's responses to user interrogation.
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