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Specifying Meta-Level Architectures for Rule-Based Systems

  • Conference paper
GWAI-87 11th German Workshop on Artifical Intelligence

Part of the book series: Informatik-Fachberichte ((2252,volume 152))

Abstract

Explicit and declarative representation of control knowledge and well-structured rule bases are crucial requirements for efficiently developing and maintaining rule-based systems. The CATWEAZLE rule interpreter allows the knowledge engineer to partition rule bases and specify meta-level architectures for control.

Among others the following questions arise immediately when one wants to provide tools for specifying meta-level architectures for control:

  1. 1.

    What is a suitable language to specify meta-level architectures for control?

  2. 2.

    How can general and declarative languages for meta-level architectures be interpreted efficiently?

This paper outlines solutions to both research questions provided by the CATWEAZLE rule interpreter:

  1. 1.

    CATWEAZLE provides a small set of concepts based on a separation of control knowledge in control strategies and control tactics and a further categorization of control strategies.

  2. 2.

    For rule-based systems it is efficient to extend the RETE pattern matching algorithm such that it can process control knowledge as well.

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© 1987 Springer-Verlag Berlin Heidelberg

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Beetz, M. (1987). Specifying Meta-Level Architectures for Rule-Based Systems. In: Morik, K. (eds) GWAI-87 11th German Workshop on Artifical Intelligence. Informatik-Fachberichte, vol 152. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-73005-4_16

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  • DOI: https://doi.org/10.1007/978-3-642-73005-4_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-18388-4

  • Online ISBN: 978-3-642-73005-4

  • eBook Packages: Springer Book Archive

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