Chatbots are typically used in dialog systems for various practical purposes including customer service or information acquisition.
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In order to speed up this process, designers can use dedicated chatbot design tools, that allow for immediate preview, team collaboration and video export.
The process of building a chatbot can be divided into two main tasks: understanding the user's intent and producing the correct answer.
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.
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.
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.
A chatbot (also known as a talkbot, chatterbot, Bot, IM bot, interactive agent, or Artificial Conversational Entity) is a computer program which conducts a conversation via auditory or textual methods.
Such programs are often designed to convincingly simulate how a human would behave as a conversational partner, thereby passing the Turing test.
The observer says to himself "I could have written that".
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.
It can also provide useful insights that can improve the final user experience These cloud platforms provide Natural Language Processing, Artificial Intelligence and Mobile Backend as a Service for chatbot development.