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International Conference on Knowledge Engineering and Knowledge Management

EKAW 1993: Knowledge Acquisition for Knowledge-Based Systems pp 23–44Cite as

Knowledge acquisition in dynamic systems: How can logicism and situatedness go together?

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 723))

Abstract

This paper presents an investigation of knowledge acquisition in dynamic systems. The nature of dynamic systems is analyzed. A first ontology of the domain is proposed. Various distinctions are presented such as the agent perspective, the perception of temporal progression, and the notions of conseqences and expertise in dynamic systems. We use Rasmussen's model to characterize ways knowledge can be acquired in dynamic systems. Procedures are shown to be essential knowledge entities in interactions with dynamic systems. An emphasis on logicism and situatedness is presented and discussed around the situation recognition and analytical reasoning model. The knowledge block representation is introduced as a mediating representation for knowledge acquisition in dynamic systems.

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Authors and Affiliations

  1. European Institute of Cognitive Sciences and Engineering (EURISCO), Prologue I, B.P. 27-25, 31312, Labège Cedex, France

    Guy Boy

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  1. Guy Boy
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Editor information

N. Aussenac G. Boy B. Gaines M. Linster J. -G. Ganascia Y. Kodratoff

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© 1993 Springer-Verlag Berlin Heidelberg

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Boy, G. (1993). Knowledge acquisition in dynamic systems: How can logicism and situatedness go together?. 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_46

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  • DOI: https://doi.org/10.1007/3-540-57253-8_46

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-57253-4

  • Online ISBN: 978-3-540-47996-3

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