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  2. Expert system - Wikipedia

    en.wikipedia.org/wiki/Expert_system

    A Symbolics 3640 Lisp machine: an early (1984) platform for expert systems. In artificial intelligence (AI), an expert system is a computer system emulating the decision-making ability of a human expert. [1] Expert systems are designed to solve complex problems by reasoning through bodies of knowledge, represented mainly as if–then rules ...

  3. Legal expert system - Wikipedia

    en.wikipedia.org/wiki/Legal_expert_system

    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 ...

  4. Knowledge engineering - Wikipedia

    en.wikipedia.org/wiki/Knowledge_engineering

    Knowledge acquisition refers to the process of gathering expert knowledge and capturing it in the form of rules and ontologies. Knowledge acquisition has special requirements beyond the conventional specification process used to capture most business requirements. These issues led to the second approach to knowledge engineering: development of ...

  5. Symbolic artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Symbolic_artificial...

    v. t. e. An artistic representation of AI. In artificial intelligence, symbolic artificial intelligence is the term for the collection of all methods in artificial intelligence research that are based on high-level symbolic (human-readable) representations of problems, logic and search. [1] Symbolic AI used tools such as logic programming ...

  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. Knowledge-based systems - Wikipedia

    en.wikipedia.org/wiki/Knowledge-based_systems

    Widening of application. In the 1980s and 1990s, in addition to expert systems, other applications of knowledge-based systems included real-time process control, intelligent tutoring systems, and problem-solvers for specific domains such as protein structure analysis, construction-site layout, and computer system fault diagnosis.

  8. Reasoning system - Wikipedia

    en.wikipedia.org/wiki/Reasoning_system

    In information technology a reasoning system is a software system that generates conclusions from available knowledge using logical techniques such as deduction and induction. Reasoning systems play an important role in the implementation of artificial intelligence and knowledge-based systems . By the everyday usage definition of the phrase ...

  9. SHINE Expert System - Wikipedia

    en.wikipedia.org/wiki/SHINE_Expert_System

    SHINE Expert System. Spacecraft Health Inference Engine (SHINE) is a software-development tool for knowledge-based systems, created by the Artificial intelligence Group, Information Systems Technology Section at NASA /JPL. The system is in use in basic and applied AI research at JPL. SHINE was designed to operate in a real-time environment.