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

Introductory Papers
Part of the Lecture Notes in Computer Science book series (LNCS, 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.

Keywords

Knowledge Acquisition Artificial Agent Procedural Knowledge Situational Knowledge Operational Knowledge 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1993

Authors and Affiliations

  1. 1.European Institute of Cognitive Sciences and Engineering (EURISCO)Labège CedexFrance

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