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  2. Frame (artificial intelligence) - Wikipedia

    en.wikipedia.org/wiki/Frame_(artificial...

    These early products were usually developed in Lisp and integrated constructs such as IF-THEN rules for logical reasoning with Frame hierarchies for representing data. One of the most well known of these early Lisp knowledge-base tools was the Knowledge Engineering Environment (KEE) from Intellicorp. KEE provided a full Frame language with ...

  3. Knowledge representation and reasoning - Wikipedia

    en.wikipedia.org/wiki/Knowledge_representation...

    Knowledge representation and reasoning (KRR, KR&R, or KR²) is a field of artificial intelligence (AI) dedicated to representing information about the world in a form that a computer system can use to solve complex tasks, such as diagnosing a medical condition or having a natural-language dialog.

  4. Rule-based system - Wikipedia

    en.wikipedia.org/wiki/Rule-based_system

    In computer science, a rule-based system is a computer system in which domain-specific knowledge is represented in the form of rules and general-purpose reasoning is used to solve problems in the domain. Two different kinds of rule-based systems emerged within the field of artificial intelligence in the 1970s:

  5. Rule-based machine learning - Wikipedia

    en.wikipedia.org/wiki/Rule-based_machine_learning

    Rule-based machine learning approaches include learning classifier systems, [4] association rule learning, [5] artificial immune systems, [6] and any other method that relies on a set of rules, each covering contextual knowledge. While rule-based machine learning is conceptually a type of rule-based system, it is distinct from traditional rule ...

  6. Knowledge-based systems - Wikipedia

    en.wikipedia.org/wiki/Knowledge-based_systems

    Using rules meant that domain experts could often define and maintain the rules themselves rather than via a programmer. Explanation. Representing knowledge explicitly allowed systems to reason about how they came to a conclusion and use this information to explain results to users.

  7. Symbolic artificial intelligence - Wikipedia

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

    MYCIN exemplifies the classic expert system architecture of a knowledge-base of rules coupled to a symbolic reasoning mechanism, including the use of certainty factors to handle uncertainty. GUIDON shows how an explicit knowledge base can be repurposed for a second application, tutoring, and is an example of an intelligent tutoring system , a ...

  8. Expert system - Wikipedia

    en.wikipedia.org/wiki/Expert_system

    The use of rules to explicitly represent knowledge also enabled explanation abilities. In the simple example above if the system had used R1 to assert that Socrates was Mortal and a user wished to understand why Socrates was mortal they could query the system and the system would look back at the rules which fired to cause the assertion and ...

  9. Cyc - Wikipedia

    en.wikipedia.org/wiki/Cyc

    Cyc (pronounced / ˈ s aɪ k / SYKE) is a long-term artificial intelligence project that aims to assemble a comprehensive ontology and knowledge base that spans the basic concepts and rules about how the world works.