Tag Archives: XML

Rule-Based Conversation -Draft

This entry is part 1 of 13 in the series The State of Chatbots

The majority of current chatbots use a rule-based approach to interact with the user. In order to imitate human conversations, developers use a linguistic model combined with computational algorithms to build chatbots. Depending on the chatbot, rules can be based on simple textual pattern matching or complicated rules based on inference mechanisms (De Angeli & [...]

History – Significant Advances in Chatbot Development -Draft

This entry is part 5 of 13 in the series The State of Chatbots

ELIZA is considered one of the rst chatbots and was created at MIT by Weizenbaum (Weizenbaum, 1966). She was designed to be a psychotherapist, basing rules on the way psychotherapists ask  questions. Weizenbaum used his LISP list-processing language so that ELIZA could simply parse and substitute key words into canned phrases. The chatbot was rule-based [...]