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But once a particular program is unmasked, once its inner workings are explained ...

its magic crumbles away; it stands revealed as a mere collection of procedures ...

This criterion depends on the ability of a computer program to impersonate a human in a real-time written conversation with a human judge, sufficiently well that the judge is unable to distinguish reliably—on the basis of the conversational content alone—between the program and a real human.

The notoriety of Turing's proposed test stimulated great interest in Joseph Weizenbaum's program ELIZA, published in 1966, which seemed to be able to fool users into believing that they were conversing with a real human.

The process of building a chatbot can be divided into two main tasks: understanding the user's intent and producing the correct answer.

The first task involves understanding the user input.

reserved for curios" to that marked "genuinely useful computational methods". The bots usually appear as one of the user's contacts or as a participant in a group chat.

With that thought he moves the program in question from the shelf marked "intelligent", to that reserved for curios ... is still purely based on pattern matching techniques without any reasoning capabilities, the same technique ELIZA was using back in 1966.

The chatbot design is the process that defines the interaction between the user and the chatbot.

The chatbot designer will define the chatbot personality, the questions that will be asked to the users, and the overall interaction.

Thus an illusion of understanding is generated, even though the processing involved has been merely superficial. Some more recent chatbots also combine real-time learning with evolutionary algorithms that optimise their ability to communicate based on each conversation held, with one notable example being Kyle, winner of the 2009 Leodis AI Award.

ELIZA showed that such an illusion is surprisingly easy to generate, because human judges are so ready to give the benefit of the doubt when conversational responses are capable of being interpreted as "intelligent". E (Agence Nationale de la Recherche and CNRS 2006). utilises a markup language called AIML, which is specific to its function as a conversational agent, and has since been adopted by various other developers of, so called, Alicebots. Still, there is currently no general purpose conversational artificial intelligence, and some software developers focus on the practical aspect, information retrieval.

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