Are you familiar with the character ‘Jarvis’ from the movie Iron Man? Tony Stark’s intelligent assistant, who also happens to be his best friend in the movie. Well, who wouldn’t love to have such a brilliant assistant? The great news is we have already embarked on an adventure where we have our own particular virtual assistants. Need to arrange a taxi or schedule a meeting, simply say it and your own virtual personal assistant is at your service. That unquestionably brings a 'wow factor' where you could complete your small routine tasks done just by a discussion with a Bot. In any case, do you realize that the idea of chatbots is as old as computing itself? Much the same as Artificial Intelligence, the entire buzz around Chatbot may influence it to show up as if it's a new concept when it isn't. Let’s take a look at the timetable to investigate the evolution of bots. Understanding the Bots Chatbots, a software that automates tasks for users, communicate instantly with the user, providing service for everything ranging from on-demand climate status to traffic updates to customized help for a variety of assignments. Bots can have human-like interaction primarily as a result of the fact that they are controlled by two technologies – artificial intelligence (AI) and natural language processing (NLP) that gives human-like intelligence to the bots. Bots today are reforming the field of user interaction and making it more advantageous for the users. The Evolution of Bots The fascinating history of bots began way back in the 1950's. Alan Turing, the spearheading British Computer Scientist, who was much ahead of his time, began working on the idea whether machines can think. Also, in 1950, he published his all-around recognized article 'Computing Machinery and Intelligence' trailed by the Turing Test as we probably are aware today. The whole idea behind his papers and research was that machines can also think and are intelligent. He spearheaded a parameter of intelligent for machines. As indicated by him, if a machine can imitate a human and his conduct persuading the other individual involved in a real-time conversation that he is interacting with a human (not a machine), at that point, the machine is intelligent. His work attracted Joseph Weizenbaum, the German Computer Scientist, and Professor at MIT. In 1966, he built up the program ELIZA, which aimed at deceiving users by making them believe that they were having a discussion with a real human being. ELIZA was intended to impersonate a specialist who might ask open-finished questions and even react with subsequent meet-ups. ELIZA is thought to be the first chatterbot in the historical backdrop of software engineering. In spite of the fact that the term chatterbot was not coined at that point. It was just in 1994 that the term 'ChatterBot' was created by Michael Mauldin to portray these conversational programs. ELIZA works by perceiving keywords or expressions from the input to replicate a response using those keywords from pre-programmed responses. For example, if a human says that 'My mom cooks great food', ELIZA would get the word 'mother', and react by asking an open-ended question, 'Tell me more about your family'. This created an illusion of understanding and having an interaction with a real human being, however, the procedure was a mechanized one. After ELIZA, there were other effective Bots that were made – PARRY in 1972, RACTER in 1983, and then jabberwacky in 2005. A long way to go In spite of the fact that the invention of bots took long back in 1966, it has only got acknowledgment now by the world of technology. Bots are still in their nascent stages, however, the momentum is picking up and progressions in the field of AI will continue refining the bot experience for its users. Likewise, one noteworthy reason behind the rise in bots is that it is easier and less expensive to make when contrasted with applications. Most bots in India are still on their way to accomplish full automation. They are yet subject to people with regards to taking care of complex or detailed queries. Yet, with the movements occurring in the fields of NLP and AI, it isn't too far when bots will be completely automated.
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