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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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Artificial Intelligence --Terminology

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Artificial Intelligence --Terminology Here is the list of frequently used terms in the domain of AI − Sr. No Term & Meaning 1 Agent Agents are systems or software programs capable of autonomous, purposeful and reasoning directed towards one or more goals. They are also called assistants, brokers, bots, droids, intelligent agents, and software agents. 2 Autonomous Robot Robot free from external control or influence and able to control itself independently. 3 Backward Chaining Strategy of working backward for Reason/Cause of a problem. 4 Blackboard It is the memory inside computer, which is used for communication between the cooperating expert systems. 5 Environment It is the part of real or computational world inhabited by the agent. 6 Forward Chaining Strategy of working forward for conclusion/solution of a problem. 7 Heuristics It is the knowledge based on Trial-and-error, evaluations, and experimentation. 8 Knowledge Engin...
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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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