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Titlebook: Current Developments in Knowledge Acquisition - EKAW‘92; 6th European Knowled Thomas Wetter,Klaus-Dieter Althoff,Franz Schmalhof Conference

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Conceptual models for automatic generation of knowledge-acquisition tools,ate new KA tools automatically for specialized purposes. Several . that address this task have been implemented. Meta-tools provide developers of domain-specific KA tools with generic design models, or ., of the emerging KA tools. The same KA tool can be specified according to several alternative meta-views.
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Yet another formalisation of KADS conceptual models,the (ML). and FORKADS formalisations. The comparison will especially focus on the representation of interpretation models and the link between the domain and inference layer. This paper will show that the use of parameterised signature types is a very natural way of binding domain layers to interpretation models.
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Differentiating problem solving methods,M‘s is a useful means for clarifying, communicating and comparing problem-solving knowledge. This paper shows how such PSM‘s can be formally defined. We illustrate this by developing a formal model for the Cover- and-Differentiate method for diagnosis, and comparing this to Heuristic Classification.
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Towards a formal framework to compare protocol interpretations and task specifications,The framework is used to structure the analysis of an example protocol dealing with an office assignment task. We give examples of different task specifications based on alternative interpretations of this protocol.
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https://doi.org/10.1007/978-3-031-01934-0ate new KA tools automatically for specialized purposes. Several . that address this task have been implemented. Meta-tools provide developers of domain-specific KA tools with generic design models, or ., of the emerging KA tools. The same KA tool can be specified according to several alternative meta-views.
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Synthesis Lectures on Global Engineeringand the KBS is thus preserved. In addition to the advantages bound to prototyping at the knowledge level, the AIDE‘s approach allows validation and explaination at this same high level of abstraction.
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