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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 first task involves understanding the user input.In order to properly understand a user input in a free text form, a Natural Language Processing Engine can be used.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.It boasts 1.2 billion active users, that’s double the size of Instagram and the same as Whats App.In 2016, Facebook Messenger allowed developers to place chatbots on their platform.

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.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.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 ...Thus, for example, online help systems can usefully employ chatbot techniques to identify the area of help that users require, potentially providing a "friendlier" interface than a more formal search or menu system. One pertinent field of AI research is natural language processing. Chatbots are often integrated into the dialog systems of, for example, virtual assistants, giving them the ability of, for example, small talking or engaging in casual conversations unrelated to the scopes of their primary expert systems.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 chatbots are widely used as part of instant messaging platforms like Facebook Messenger, We Chat, and Kik for entertaining purposes as well as B2C customer service, sales and marketing.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.Facebook Messenger is becoming more and more popular as an everyday means of communication.The object of this paper is to cause just such a re-evaluation of the program about to be "explained". ELIZA's key method of operation (copied by chatbot designers ever since) involves the recognition of cue words or phrases in the input, and the output of corresponding pre-prepared or pre-programmed responses that can move the conversation forward in an apparently meaningful way (e.g. This is not strong AI, which would require sapience and logical reasoning abilities.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.

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