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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. Forward chaining - Wikipedia

    en.wikipedia.org/wiki/Forward_chaining

    Forward chaining is a powerful reasoning strategy with numerous applications in AI and related fields. Some of the prominent applications include: Expert Systems: Expert systems are AI systems that mimic the decision-making abilities of human experts in a specific domain. They rely on forward chaining to apply expert knowledge to solve problems ...

  4. Rule-based system - Wikipedia

    en.wikipedia.org/wiki/Rule-based_system

    A classic example of a production rule-based system is the domain-specific expert system that uses rules to make deductions or choices. [1] For example, an expert system might help a doctor choose the correct diagnosis based on a cluster of symptoms, or select tactical moves to play a game.

  5. Knowledge engineering - Wikipedia

    en.wikipedia.org/wiki/Knowledge_engineering

    Another issue with using conventional methods to develop expert systems was that due to the unprecedented nature of expert systems, they were one of the first applications to adopt rapid application development methods that feature iteration and prototyping as well as or instead of detailed analysis and design. In the 1980s few conventional ...

  6. Legal expert system - Wikipedia

    en.wikipedia.org/wiki/Legal_expert_system

    A legal expert system is a domain-specific expert system that uses artificial intelligence to emulate the decision-making abilities of a human expert in the field of law. [1]: 172 Legal expert systems employ a rule base or knowledge base and an inference engine to accumulate, reference and produce expert knowledge on specific subjects within the legal domain.

  7. Inference engine - Wikipedia

    en.wikipedia.org/wiki/Inference_engine

    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.

  8. CLIPS - Wikipedia

    en.wikipedia.org/wiki/CLIPS

    CLIPS (C Language Integrated Production System) is a public-domain software tool for building expert systems.The syntax and name were inspired by Charles Forgy's OPS5.The first versions of CLIPS were developed starting in 1985 at the NASA Johnson Space Center (as an alternative for existing system ART*Inference) until 1996, when the development group's responsibilities ceased to focus on ...

  9. HYPO CBR - Wikipedia

    en.wikipedia.org/wiki/HYPO_CBR

    HYPO is a computer program, an expert system, that models reasoning with cases and hypotheticals in the legal domain. It is the first of its kind and the most sophisticated of the case-based legal reasoners, which was designed by Kevin Ashley for his Ph.D dissertation in 1987 at the University of Massachusetts Amherst under the supervision of ...

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