https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=10487&context=rtd

Choosing knowledge acquisition strategies for application tasks

Effectiveness of microcomputer aided television troubleshooting instruction using digital image database

During the development of new and complex electronic products, the developer identifies high-risk components by listing those components that could generate project risk based on past experience, also adding those new components with limited history. These critical items are key to product performance and, therefore, are an area of major concern during product development. Critical items are issues not totally understood by the program's development staff, even though these individuals will be specifying and designing these items into the end product. The applications for which critical items are used can have major effects on the reliability of the critical items as well as on the products that incorporate them. Critical items are normally purchased from specialty suppliers, who design and manufacture them to a procurement specification. Critical items are classified as program risks and constitute a subset of a program's total risk area that must be managed. Critical items are considered to be risk items because they are unique to the program (custom-designed), can embody new technologies or processes, can be state of the art (pushing the envelope of knowledge and understanding), can have higher failure rates than other components, can be life-limited, and can jeopardize safety. Critical items have enough technical and programmatic uncertainties within themselves that must be mitigated and managed by the program development staff, without adding critical item design application issues resulting from product design decisions. This paper describes a current effort that focuses on solutions for these issues.

Risk mitigation of reliability-critical items

A promising application of knowledge-based systems is that of prescribing the most appropriate analytical method for a given situation The Analytical Method Recommendation System (AMRS) services an entire laboratory containing several analytical instruments It assists the inexperienced analytical chemist and permits technicians to become more independent from managing chemists AMRS presently exists as an early prototype The author discusses the knowledge acquisition methodology and design issues Brief descriptions of current system performance and future directions are included >

AMRS: a prototype of an analytical method recommendation system

A structured approach to expert systems development: the methodology and a real world case study

A new approach is described for the development and structure of perceptual knowledge-based systems. This systematic method for acquiring perceptual knowledge for use in knowledge-based systems and for representing perceptual knowledge within the systems has revealed that two broad classes of perceptual activity can each be characterized by a single logical operator. The number of rules necessary to accomplish particular perceptual tasks can also be estimated.

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Choosing knowledge acquisition strategies for application tasks

Citations

Effectiveness of microcomputer aided television troubleshooting instruction using digital image database

Risk mitigation of reliability-critical items

AMRS: a prototype of an analytical method recommendation system

A structured approach to expert systems development: the methodology and a real world case study

Simple knowledge structures for perceptual classification expert systems

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