The Acquisition of Strategic Knowledge by Thomas R. Gruber

By Thomas R. Gruber

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The performance context focuses the elicitation dialog around justifications and bounds the credit assignment problem. " The question is constrained enough to allow a human-machine dialog, because the user can understand the question and the system can understand the answer. 2). A second source of power in knowledge acquisition results from specializing in a particular kind of knowledge or performance task. Instead of providing the facilities for building any knowledge system, a model-based acquisition tool offers a custom technique for acquiring just that knowledge needed to perform a certain kind of reasoning (or a generic task [Chandrasekaran, 1986]).

Generalize the new rule if appropriate. 1 Introduction and Overview 17 7. Run the new rule in the existing strategic situation and present the new system recommendations for confirmation. 6 An Example Dialog with ASK To illustrate how ASK works, we will walk through a brief example of a dialog between ASK and the user of an application (a knowledge system) that manages workups of chest pain. During knowledge acquisition, the user of the application is the domain expert. For descriptive economy, we will demonstrate the dialog in this introduction with a natural language dialog.

Finally, if we are to automate the acquisition of strategic knowledge we need to construct an assistant that can structure the dialog with the expert and build a model of the expert's strategy using the knowledge representation. The assistant needs to know what knowledge is required, how to elicit it from the expert, and how to put it in operational form. We have developed an knowledge acquisition assistant called ASK that elicits justifications from the expert and generates strategy rules. It uses inductive operators to generalize what it has acquired, and asks the expert to guide the generalization process.

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