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Artificial Intelligence -- Neural Language Processing

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Artificial Intelligence -- Neural Language Processing Natural Language Processing (NLP) refers to AI method of communicating with an intelligent systems using a natural language such as English. Processing of Natural Language is required when you want an intelligent system like robot to perform as per your instructions, when you want to hear decision from a dialogue based clinical expert system, etc. The field of NLP involves making computers to perform useful tasks with the natural languages humans use. The input and output of an NLP system can be − Speech Written Text Components of NLP There are two components of NLP as given − NATURAL LANGUAGE UNDERSTANDING (NLU) Understanding involves the following tasks − Mapping the given input in natural language into useful representations. Analyzing different aspects of the language. NATURAL LANGUAGE GENERATION (NLG) It is the process of producing meaningful phrases...
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Artificial Intelligence -- Fuzzy logic

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Artificial Intelligence -- Fuzzy logic Fuzzy Logic Systems (FLS) produce acceptable but definite output in response to incomplete, ambiguous, distorted, or inaccurate (fuzzy) input. What is Fuzzy Logic? Fuzzy Logic (FL) is a method of reasoning that resembles human reasoning. The approach of FL imitates the way of decision making in humans that involves all intermediate possibilities between digital values YES and NO. The conventional logic block that a computer can understand takes precise input and produces a definite output as TRUE or FALSE, which is equivalent to human’s YES or NO. The inventor of fuzzy logic, Lotfi Zadeh, observed that unlike computers, the human decision making includes a range of possibilities between YES and NO, such as − CERTAINLY YES POSSIBLY YES CANNOT SAY POSSIBLY NOCERTAINLY NO The fuzzy logic works on the levels of possibilities of input to achieve the definite output. IMPLEMENTATION It can ...
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Artificial Intelligence -- Expert system

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Artificial Intelligence -- Expert system Expert systems (ES) are one of the prominent research domains of AI. It is introduced by the researchers at Stanford University, Computer Science Department. What are Expert Systems? The expert systems are the computer applications developed to solve complex problems in a particular domain, at the level of extra-ordinary human intelligence and expertise. CHARACTERISTICS OF EXPERT SYSTEMS High performance Understandable Reliable Highly responsive Capabilities of Expert Systems The expert systems are capable of − Advising Instructing and assisting human in decision making Demonstrating Deriving a solution Diagnosing Explaining Interpreting input Predicting results Justifying the conclusion Suggesting alternative options to a problem They are incapable of − Substituting human decision makers ...
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