Abstract
This paper presents a knowledge-level analysis of the task program supervision based on two different systems: PEGASE and PULSAR. A knowledge-level analysis of a knowledge-based system reveals the organisation of the knowledge it uses, and how it uses this knowledge to solve the task. It is also the key to determine the set of properties that it assumes on domain knowledge. These aspects have been successfully used as a framework to compare different systems, mostly for knowledge engineering purposes. Our purpose is to use assumptions as the properties that the knowledge base must verify.
Her work has been carried out at INRIA and has been financed by the grant PF95 19899400 from the Spanish Ministry of Education and Culture.
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© 1998 Springer-Verlag
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Marcos, M., Moisan, S., del Pobill, A.P. (1998). Knowledge modeling of program supervision task. In: Mira, J., del Pobil, A.P., Ali, M. (eds) Methodology and Tools in Knowledge-Based Systems. IEA/AIE 1998. Lecture Notes in Computer Science, vol 1415. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-64582-9_742
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DOI: https://doi.org/10.1007/3-540-64582-9_742
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