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This sort of usage holds the prospect of moving chatbot technology from Weizenbaum's "shelf ... Usually, weak AI fields employ specialized software or programming languages created specifically for the narrow function required. Currently chatterbots are widely used as part of messaging platforms like Facebook Messenger or Snapchat for entertaining purposes as well as B2C marketing.
reserved for curios" to that marked "genuinely useful computational methods". Companies like Pizza Hut, Disney, Yamato’s Line and Whole Foods have launched their own chatterbots to increase end customer engagement, promote their products and services, and give their customers a more convenient and easier way to order from them.
The term "Chatter Bot" was originally coined by Michael Mauldin (creator of the first Verbot, Julia) in 1994 to describe these conversational programs.
There are two main types of chatterbots, one functions based on a set of rules, and the other more advanced version uses artificial intelligence.
Malicious chatterbots are frequently used to fill chat rooms with spam and advertising, or to entice people into revealing personal information, such as bank account numbers. Messenger, Windows Live Messenger, AOL Instant Messenger and other instant messaging protocols.
A chatterbot (also known as a talkbot, chatbot, Bot, chatterbox, 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.
by responding to any input that contains the word 'MOTHER' with 'TELL ME MORE ABOUT YOUR FAMILY'). Jabberwacky learns new responses and context based on real-time user interactions, rather than being driven from a static database.
Thus an illusion of understanding is generated, even though the processing involved has been merely superficial. Some more recent chatterbots 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.