Knowledge-based systems

HOPGOOD, Adrian A. (2008). Knowledge-based systems. In: DOPICO, Juan Ramón Rabuñal, DORADO, Julian and PAZOS, Alejandro, (eds.) Encyclopedia of Artificial Intelligence. IGI Global, 989-995.

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Official URL: http://dx.doi.org/10.4018/978-1-59904-849-9.ch146
Link to published version:: https://doi.org/10.4018/978-1-59904-849-9.ch146
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    Abstract

    The tools of artificial intelligence (AI) can be divided into two broad types: knowledge-based systems (KBSs) and computational intelligence (CI). KBSs use explicit representations of knowledge in the form of words and symbols. This explicit representation makes the knowledge more easily read and understood by a human than the numerically derived implicit models in computational intelligence. KBSs include techniques such as rule-based, modelbased, and case-based reasoning. They were among the first forms of investigation into AI and remain a major theme. Early research focused on specialist applications in areas such as chemistry, medicine, and computer hardware. These early successes generated great optimism in AI, but more broad-based representations of human intelligence have remained difficult to achieve.

    Item Type: Book Section
    Research Institute, Centre or Group - Does NOT include content added after October 2018: Materials and Engineering Research Institute > Centre for Automation and Robotics Research > Mobile Machine and Vision Laboratory
    Identification Number: https://doi.org/10.4018/978-1-59904-849-9.ch146
    Page Range: 989-995
    Depositing User: Adrian Hopgood
    Date Deposited: 31 Aug 2012 15:31
    Last Modified: 17 Sep 2012 14:22
    URI: http://shura.shu.ac.uk/id/eprint/5651

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