Automatic Acquisition Of Knowledge For Solving Analysis Tasks

Patel, Jitendra M (1990). Automatic Acquisition Of Knowledge For Solving Analysis Tasks. PhD thesis The Open University.



The extraction of knowledge from domain experts for the purpose of building expert systems has been found to be a difficult and a time- consuming enterprise. Researchers have therefore looked at the - possibility of automating this task of knowledge acquisition. The existing knowledge acquisition systems rely on either some task-specific knowledge or general techniques for knowledge elicitation for obtaining problem-solving expertise from domain experts. Generally, systems which employ task-specific knowledge produce better problem-solving expertise than those systems which use elicitation techniques. However, the scope of applicability of former systems is relatively narrow. This is the central problem addressed in this thesis: to design a knowledge acquisition system which can be applied over a wide range of tasks with the purpose of acquiring useful problem-solving knowledge.
The thesis presents a methodology and a system for knowledge acquisition called ASKE. The methodology prescribes that knowledge acquisition should start by defining the task and then use the developed task-model to acquire domain specific knowledge. ASKE is able to support this process by allowing the user to construct task-models and by being able to effectively use them for acquiring domain expertise. The advantage of progressing in this manner is two-fold: firstly, it widens the scope of applicability of the knowledge acquisition system; and, secondly, it makes possible the construction of knowledge-bases that exhibit expert performance.
ASKE contains knowledge engineering expertise which it uses to help domain experts encode their problem-solving expertise directly into a knowledge-base. The system derives its power from the templates which encode knowledge. The templates serve a triple function: they represent knowledge - their normal function; they encode expectations of the kind of knowledge that is to be acquired; and, they serve as a guide for how problem-solving knowledge may be organized so as to facilitate its encapsulation into a knowledge-base.

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