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

nonchalance

入伍仪式

The Past, Present, and Future of BIG Wo-Fo,tion meeting a set of requirements (see details in Larichev et al., 1991)..First, it is necessary to structure the problem, identify a set of attributes and scales, determine decision classes. The attributes and scales of their estimates determine a complete list of potential states of the object un

难管

Using generalised directive models in knowledge acquisition, context sensitive rewrite grammar that allows us to capture a large class of inference layer models. We use the grammar to progressively refine the model of problem solving for an application. It is also used as the basis of the scheduling of KA activities and the selection of KA tools.

indices

abstemious

Applications of machine learning,ons about real world applications exist. In this paper, an overview of machine learning applications is given with their scenarios. Some typical applications are described. Then, future directions of machine learning applications are proposed. It is argued that machine learning is now mature enough

esoteric

Conceptual models for automatic generation of knowledge-acquisition tools, KA tools are designed to provide . of the knowledge to their users. Many different classes of models are possible, resulting in different categories of tools. Whenever it is possible to describe KA tools according to explicit conceptual models, it is also possible to edit the models and to instanti

放大

An approach to operationalize conceptual models: The shell AIDE,to build problem solvers that are less brittle and easier to explain, we propose an approach to operationalize conceptual models. This approach is based upon the shell AIDE which allows the knowledge engineer to model at a high level of abstraction. The shell is based upon a mechanism of translation

钻孔

Linking , and , in an operational modeling environment,languages from this view on knowledge acquisition. We put a special focus on requirements that arise if one wants to support both . and . with one language. For example, among others such languages should support multi-faceted, bottom-up construing of behaviors, and they should have operational sema

使乳化

大方不好

Differentiating problem solving methods,wledge used in knowledge-based reasoning, as well as under what circumstances what knowledge is to be applied. We argue that the formal modeling of PSM‘s is a useful means for clarifying, communicating and comparing problem-solving knowledge. This paper shows how such PSM‘s can be formally defined.