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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-based systems - Wikipedia

    en.wikipedia.org/wiki/Knowledge-based_systems

    A knowledge-based system (KBS) is a computer program that reasons and uses a knowledge base to solve complex problems. Knowledge-based systems were the focus of early artificial intelligence researchers in the 1980s. The term can refer to a broad range of systems. However, all knowledge-based systems have two defining components: an attempt to ...

  4. Model-based reasoning - Wikipedia

    en.wikipedia.org/wiki/Model-based_reasoning

    Model-based reasoning. In artificial intelligence, model-based reasoning refers to an inference method used in expert systems based on a model of the physical world. With this approach, the main focus of application development is developing the model. Then at run time, an "engine" combines this model knowledge with observed data to derive ...

  5. 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.

  6. 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.

  7. Forward chaining - Wikipedia

    en.wikipedia.org/wiki/Forward_chaining

    Forward chaining (or forward reasoning) is one of the two main methods of reasoning when using an inference engine and can be described logically as repeated application of modus ponens. Forward chaining is a popular implementation strategy for expert systems, business and production rule systems. The opposite of forward chaining is backward ...

  8. 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.

  9. 12 Benefits of Swimming: Weight Loss, Health, and More

    www.healthline.com/health/benefits-of-swimming

    2. Works your insides, too. While your muscles are getting a good workout, your cardiovascular system is, too. Swimming makes your heart and lungs strong. Swimming is so good for you that ...