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  2. Expert system - Wikipedia

    en.wikipedia.org/wiki/Expert_system

    An expert system is an example of a knowledge-based system. Expert systems were the first commercial systems to use a knowledge-based architecture. In general view, an expert system includes the following components: a knowledge base, an inference engine, an explanation facility, a knowledge acquisition facility, and a user interface. [48] [49]

  3. Knowledge engineering - Wikipedia

    en.wikipedia.org/wiki/Knowledge_engineering

    These issues led to the second approach to knowledge engineering: the development of custom methodologies specifically designed to build expert systems. [1] One of the first and most popular of such methodologies custom designed for expert systems was the Knowledge Acquisition and Documentation Structuring (KADS) methodology developed in Europe ...

  4. Inference engine - Wikipedia

    en.wikipedia.org/wiki/Inference_engine

    In the field of artificial intelligence, an inference engine is a software component of an intelligent system that applies logical rules to the knowledge base to deduce new information. The first inference engines were components of expert systems. The typical expert system consisted of a knowledge base and an inference engine.

  5. Knowledge-based systems - Wikipedia

    en.wikipedia.org/wiki/Knowledge-based_systems

    The first knowledge-based systems were primarily rule-based expert systems. These represented facts about the world as simple assertions in a flat database and used domain-specific rules to reason about these assertions, and then to add to them. One of the most famous of these early systems was Mycin, a program for medical diagnosis.

  6. Knowledge acquisition - Wikipedia

    en.wikipedia.org/wiki/Knowledge_acquisition

    Expert systems were one of the first successful applications of artificial intelligence technology to real world business problems. [1] Researchers at Stanford and other AI laboratories worked with doctors and other highly skilled experts to develop systems that could automate complex tasks such as medical diagnosis .

  7. Knowledge engineer - Wikipedia

    en.wikipedia.org/wiki/Knowledge_Engineer

    Knowledge engineers are involved with validation and verification.. Validation is the process of ensuring that something is correct or conforms to a certain standard. A knowledge engineer is required to carry out data collection and data entry, but they must use validation in order to ensure that the data they collect, and then enter into their systems, fall within the accepted boundaries of ...

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  9. Knowledge management - Wikipedia

    en.wikipedia.org/wiki/Knowledge_management

    Expert directories (to enable knowledge seeker to reach to the experts) Expert systems (knowledge seeker responds to one or more specific questions to reach knowledge in a repository) Best practice transfer; Knowledge fairs; Competency-based management (systematic evaluation and planning of knowledge related competences of individual ...