Abstract
The rule-based approach to building intelligent systems is prevalent throughout the enterprise of Artificial Intelligence. Many famous systems have succeeded because they rely on rules at least to some extent. Through good knowledge engineering, the representation and encodement of the elements required to find adequate problem solutions can be facilitated. But despite enormous efforts, rule-based systems are far from perfect in their performance. What are the limitations and how can they be overcome?
The sponsors of the Center are McDonnell Douglas Corporation and Southwestern Bell Telephone Company.
The second author gratefully acknowledge the support of King Fahd University of Petroleum and Minerals.
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Kwasny, S.C., Faisal, K.A. (1990). Overcoming Limitations of Rule-Based Systems: An Example of a Hybrid Deterministic Parser. In: Dorffner, G. (eds) Konnektionismus in Artificial Intelligence und Kognitionsforschung. Informatik-Fachberichte, vol 252. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-76070-9_5
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DOI: https://doi.org/10.1007/978-3-642-76070-9_5
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