Many expert systems have moved out of development laboratories into field test and routine use. About sixty such systems are listed. Academic research laboratories are contributing manpower to fuel the commercial development of AI. But the quantity of AI research may decline as a result unless the applied systems are experimented with and analyzed.

/pdf/expert-systems-working-systems-and-the-research-literature-4e2u8p4e17.pdf

Expert systems: working systems and the research literature

Knowledge-based expert systems in structural design

Trends in engineering software and hardwareKnowledge-based expert systems in structural design

An analysis of survey data collected from a sample of 98 Fortune 500 industrial companies reveals that expert systems (ESs) are utilized in manufacturing by 52 per cent of the companies, among which ESs are perceived to be more useful in process planning, product design, layout, facility design and maintenance; and less useful in forecasting production demand and reducing accidents/ safety hazards. Some suggestions are offered on integrating ESs with simulation and logistical knowledge, and involving top management in ES development projects to maximize the pay‐off of utilizing ESs in manufacturing.

Utilization and Benefits of Expert Systems in Manufacturing

Production rule schemes have proven quite effective in concisely representing expert knowledge in several application areas. Yet, there are many problems for which one would like to take advantage of additional knowledge that may not be easily represented in these surface level models. One class of problems of particular practical interest are those in which we would like to have a computer-based system give interactive advice on how to control and interpret results from a set of complex and interrelated applications programs. The advice may refer to interpretations of current results, possible experiments that should be performed with the help of the applications programs, and indications of inconsistencies in specific analytical procedures and in problem solving sequences followed by the user. In the present paper we report on our experiences in designing an expert system (ELAS), of the type described above, for well log analysis in oil exploration and production. We have integrated a production rule advice model (using the EXPERT system) with existing Amoco software for well-log analysis and display. In doing so, the original system for well-log analysis was reorganized so that its use could be monitored and controlled, and its knowledge structured according to the types and sequences of methods used by expert analysts. By varying the assumptions and parameters used in the different individual analyses, our goal is to make available interactive interpretations of the alternative approaches that an expert might take to a complex problem of well-log analysis.

/pdf/building-expert-systems-for-controlling-complex-programs-495ym7wfzg.pdf

Building expert systems for controlling complex programs

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Building expert systems for controlling complex programs