No doubt, Artificial Intelligence is gaining popularity with every passing day. With more and more advancements cropping up in this area and the immense scope that this field is subjected to, there are certainly no second thoughts pertaining to why is AI so much in demand.
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Symbolic AI is one such advancement that has garnered attention from all across the globe. Evidently, this form of Artificial intelligence makes use of symbols. As known to us, machines mimic human behavior as far as AI is concerned and the fact that humans think using symbols and the ability of machines to operate using symbols forms the base of Symbolic AI.
Almost everything in this universe can be well understood by humans using symbols. Be it defining things (pen, book, etc.), activities (running, walking, eating, etc.), abstract activities, things that physically don’t exist or anything for that matter – all of these can be described using symbols. Humans have this exceptional ability to communicate using symbols and this is what makes Symbolic AI a sought-after concept. It is thus this assumption that many levels of intelligence can be achieved by manipulating the symbols that the Symbolic AI is based on.
This form of AI has seen both – success and failure over the years.
Some of the areas where symbolic AI has tasted success are:
EXPERT SYSTEMS: Today, a lot of applications of this form of AI have made into various expert system domains such as customer service, technical support systems, tax processing software, medical diagnosis systems and a lot more.
NATURAL LANGUAGE PROCESSING (NLP): NLP is surely one of those areas that has probably seen the best application of symbolic AI. It is that branch of AI with the help of which humans can interact with machines like never before. How can one not mention the very famous Alexa and Siri that’s currently ruling the world as the most dependable virtual/offline assistant? These showcase the implementation of NLP in the best possible way. Chatbots too make use of Symbolic AI in a way that a set of rules are included that are based on certain keywords.
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