Abstract
The aim of this research effort is to develop a method for automating knowledge acquisition, that can be employed to generate knowledge-based systems, making few initial constraints on the type of problem solving mechanism. This method is based on the following principles: (1) problem solving can be described with primitives that can be reused and rearranged to model problem solving processes in various domains and task types, and (2) there exist enough formal problem solving mechanisms in algorithmic form to implement those models in a machine understandable code, or at least those mechanisms can be easily developed by computer experts.
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Tijerino, Y.A., Mizoguchi, R. (1993). MULTIS II: Enabling end-users to design problem-solving engines via two-level task ontologies. In: Aussenac, N., Boy, G., Gaines, B., Linster, M., Ganascia, J.G., Kodratoff, Y. (eds) Knowledge Acquisition for Knowledge-Based Systems. EKAW 1993. Lecture Notes in Computer Science, vol 723. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-57253-8_62
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DOI: https://doi.org/10.1007/3-540-57253-8_62
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