1994 · 35 citations · 0 references
ComputingComputer ScienceKnowledge RepresentationExpert ModelingExpert SystemsExpertise RepresentationKnowledge ModelingExpert Knowledge ModelingExpertise ModelingUser Expertise Modeling
ions In many domains, human experts employ data abstraction as a technique for reducing a large data set. Data abstraction is a powerful method that limits the search space and also reduces the size of the differential. Introducing finding abstraction in the generate-and-test model requires the specification of one additional function abstract which takes as input a set of findings and produces a new, more abstract, finding (see Fig. 8.6). From the taskknowledge point of view, abstraction typically has a recursive structure. An abstracted finding can be the input for another invocation of the abstraction knowledge source. finding hypothesis observable set of observables associate specify-1 obtain select-1 conjectured finding specify-2 solution select-2 finding select-3 finding abstract new hypotheis test observable new evidence abstract finding focus trigger specific finding FIGURE 8.6: Introducing finding abstractions Clancey describes three types of abst...