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  2. Knowledge acquisition - Wikipedia

    en.wikipedia.org/wiki/Knowledge_acquisition

    Knowledge acquisition is the process used to define the rules and ontologies required for a knowledge-based system. The phrase was first used in conjunction with expert systems to describe the initial tasks associated with developing an expert system, namely finding and interviewing domain experts and capturing their knowledge via rules ...

  3. KAOS (software development) - Wikipedia

    en.wikipedia.org/wiki/KAOS_(software_development)

    KAOS, is a goal-oriented software requirements capturing approach in requirements engineering. It is a specific Goal modeling method; another is i*. It allows for requirements to be calculated from goal diagrams. [1] KAOS stands for Knowledge Acquisition in automated specification [2] or Keep All Objectives Satisfied. [3]

  4. Knowledge Acquisition and Documentation Structuring

    en.wikipedia.org/wiki/Knowledge_Acquisition_and...

    Knowledge Acquisition and Documentation Structuring (KADS) is a structured way of developing knowledge-based systems (expert systems). It was developed at the University of Amsterdam as an alternative to an evolutionary approach and is now accepted as the European standard for knowledge based systems.

  5. Knowledge engineering - Wikipedia

    en.wikipedia.org/wiki/Knowledge_engineering

    In the 1980s few conventional software methods supported this type of approach. The final issue with using conventional methods to develop expert systems was the need for knowledge acquisition. Knowledge acquisition refers to the process of gathering expert knowledge and capturing it in the form of rules and ontologies. Knowledge acquisition ...

  6. Ripple-down rules - Wikipedia

    en.wikipedia.org/wiki/Ripple-down_rules

    Ripple-down rules consist of a data structure and knowledge acquisition scenarios. Human experts' knowledge is stored in the data structure. The knowledge is coded as a set of rules. The process of transferring human experts' knowledge to Knowledge-based systems in RDR is explained in knowledge acquisition scenario.

  7. Expert system - Wikipedia

    en.wikipedia.org/wiki/Expert_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] The knowledge base represents facts about the world.

  8. Deel has closed its 5th acquisition this year. Here's how its ...

    www.aol.com/news/deel-closed-5th-acquisition...

    Deel CEO Alex Bouaziz told BI he considers product, people and tech when picking acquisition targets. On Thursday, Deel announced it acquired Assemble to boost its all-in-one HR platform ...

  9. Knowledge-based systems - Wikipedia

    en.wikipedia.org/wiki/Knowledge-based_systems

    Acquisition and maintenance. 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.