{"title":"Expert systems in materials science and engineering","authors":"C. Sturrock","doi":"10.1109/MESPP.1990.122705","DOIUrl":"https://doi.org/10.1109/MESPP.1990.122705","url":null,"abstract":"Since 1982 the US National Association of Corrosion Engineers (NACE) and the US National Institute of Standards and Technology (NIST) have collaborated under the NACE-NIST Corrosion Data Program to develop data resources of interest to the materials science and engineering communities. These resources have included expert systems, which have focused primarily on materials selection and usage applications in industry. A brief history of the program is presented, the expert systems developed therein are presented, and development methodologies are described. Particular emphasis is placed on the participation of the chemical process, oil and gas and electric power industries in the NACE-NIST Corrosion Data Program.<<ETX>>","PeriodicalId":232478,"journal":{"name":"Proceedings [1990] IEEE Conference on Managing Expert System Programs and Projects","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129942914","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Designing and implementing intelligent database applications-a case study","authors":"B. Ruparel","doi":"10.1109/MESPP.1990.122712","DOIUrl":"https://doi.org/10.1109/MESPP.1990.122712","url":null,"abstract":"State-of-the-art research and implementation efforts being conducted in the area of expert database systems with the goal of developing intelligent and effective applications is examined. Various approaches taken to integrate expert systems and database systems are discussed. Next, a real-world application developed by the author using one of the outlined techniques is discussed in detail. This application consists in the implementation of a comprehensive computerized system to automate the educational activities of the American Red Cross. The insights gleaned from this effort are presented. The most important lesson learned was to stop thinking about rules in abstract terms and visualize them instead, as any other valid entity (or object) as a part of the overall data model.<<ETX>>","PeriodicalId":232478,"journal":{"name":"Proceedings [1990] IEEE Conference on Managing Expert System Programs and Projects","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128193254","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Mapping the expert systems development process to the Department of Defense life-cycle model","authors":"A.F.U. Khan","doi":"10.1109/MESPP.1990.122673","DOIUrl":"https://doi.org/10.1109/MESPP.1990.122673","url":null,"abstract":"The author reports on the results of a study performed by a team from RAND Corp. and the 7th Communications Group (USAF) for the Office of the Assistant Secretary of Defense for Production and Logistics. The study guides managers and technicians seeking expert systems (ES) solutions. It is noted that, as ES developments are software engineering efforts, the lessons learned building software over the past decades still apply. DoD software engineering and life-cycle policies can be applied to ES developments. The practical methodology elaborated in the study maps the rapid prototyping paradigm to DoD standards using the spiral model and risk containment strategies as described by B.W. Boehm. Furthermore, software life-cycle management and documentation standards reflect a hardware bias which also affects conventional software developments. Other peculiarities of ES developments are not totally unique to expert systems, either. Modern conventional software developments arc experiencing many of the same problems. Hence, it is concluded that the standards and acquisition practices of yesterday need to evolve to accommodate the nature of software development in the 1990s and beyond.<<ETX>>","PeriodicalId":232478,"journal":{"name":"Proceedings [1990] IEEE Conference on Managing Expert System Programs and Projects","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126209237","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Liability for malfunction of an expert system","authors":"M. Gemignani","doi":"10.1109/MESPP.1990.122669","DOIUrl":"https://doi.org/10.1109/MESPP.1990.122669","url":null,"abstract":"At times, for a variety of reasons, an expert system will provide incorrect information or advice, and, as result, a party will suffer injury, either physical or economic. The author reviews various theories under which a party so injured might sue to recover damages and assesses the problems the plaintiff and defendant might face under each theory. He also briefly discusses potential liability for failure to use an expert system.<<ETX>>","PeriodicalId":232478,"journal":{"name":"Proceedings [1990] IEEE Conference on Managing Expert System Programs and Projects","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127796036","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Towards a manageable solution to the iterative development of embedded knowledge-based systems","authors":"T.P. Gathmann, Donna Halker","doi":"10.1109/MESPP.1990.122674","DOIUrl":"https://doi.org/10.1109/MESPP.1990.122674","url":null,"abstract":"The project management, knowledge acquisition, and testing traceability of knowledge-based systems are addressed. Conventional software engineering mechanisms are utilized and woven into a process that encompasses the entire development lifecycle. Over the course of several KBS development projects, a process has been created and a suite of tools that assist in its execution has been selected. The projects have ranged from typical interactive-type systems to embedded and flight-worthy code. It was found that knowledge acquisition is key to the KBS lifecycle. A sophisticated tool, gIBIS, was used to combat this problem. This tool provides a visual and expedient methodology for the categorization of data, its representation and relationships, intuitive interface, and high-level prototyping capabilities. Traditional software engineering mechanisms have been coupled to gIBIS to create a flexible environment for the development and management of KBSs.<<ETX>>","PeriodicalId":232478,"journal":{"name":"Proceedings [1990] IEEE Conference on Managing Expert System Programs and Projects","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116686704","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Project management techniques for knowledge-based systems development","authors":"K. Gates","doi":"10.1109/MESPP.1990.122686","DOIUrl":"https://doi.org/10.1109/MESPP.1990.122686","url":null,"abstract":"The management aspects of developing knowledge-based systems software are examined. These management concepts and heuristics have evolved in conjunction with the development of knowledge-based systems for US Air Force and Army battle managers. However, these development techniques and associated management procedures can also be applied to knowledge-based software systems in general, as well as to software applications which embody operations research and decision analytic technologies. The present discussion of the management methodology uses the example of an ongoing program in artificial intelligence, namely the Heuristic Route Optimization Program (HERO).<<ETX>>","PeriodicalId":232478,"journal":{"name":"Proceedings [1990] IEEE Conference on Managing Expert System Programs and Projects","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117086824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"What 36 Japanese AI managers spotted as differences between US and Japanese corporate AI programs","authors":"R. T. Greene","doi":"10.1109/MESPP.1990.122672","DOIUrl":"https://doi.org/10.1109/MESPP.1990.122672","url":null,"abstract":"Managers of 36 Japanese corporate AI (artificial intelligence) programs were interviewed about differences they observed between corporate AI programs in Japan and such programs in the USA. Later, a smaller group of the same subjects was presented with the results from the first survey and asked to make sense of them. The results indicate that greater AI impact on business is going on in Japan due to AI being 'inserted' into business processes that are more self-consciously modeled in Japan than in the USA. The quality framework and process control framework in Japan are creating new forms of AI, from fuzzy reasoning VLSI chips to AI simulators of quality business processes as translations of customer needs. The survey showed a split between first generation AI in Japan that imitated Lisp and Prolog work in the US and second generation AI that downsizes AI. An interesting social spin-off from AI-social connectionism-as an image of Japanese work organizations was also uncovered.<<ETX>>","PeriodicalId":232478,"journal":{"name":"Proceedings [1990] IEEE Conference on Managing Expert System Programs and Projects","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122726129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Potential theories of legal liability for defective expert system software","authors":"R. D. Sprague, L. Berkowitz","doi":"10.1109/MESPP.1990.122692","DOIUrl":"https://doi.org/10.1109/MESPP.1990.122692","url":null,"abstract":"The authors review legal theories of liability for defective software as well as other emerging theories which may be applied to expert system software's new roles in American society. The purpose of this work is to allow expert system developers to understand in advance the performance standards to which they potentially may be held. It is concluded that legal theories will have to be expanded in order to directly establish tort liability due to defects in the software.<<ETX>>","PeriodicalId":232478,"journal":{"name":"Proceedings [1990] IEEE Conference on Managing Expert System Programs and Projects","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122176031","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Commodity Classification Expert System","authors":"F. Skinner, H. Yen","doi":"10.1109/MESPP.1990.122680","DOIUrl":"https://doi.org/10.1109/MESPP.1990.122680","url":null,"abstract":"During 1989 and 1990 the Commodity Classification Expert System (ES) was developed for the US Department of Commerce. This object-oriented program develops a person/computer dialogue that simulates the process an expert would use to determine if a high tech commodity could be exported. New users had problems matching regulation subsection headings with data on the manufacturer's data sheet. The dual problem of searching both the regulation and the spec sheet for matching words was sometimes frustrating. This problem was reduced, but not solved, by adding a commercial program that could search the regulations, providing examples of the subsection headings, and providing definitions of technical terms.<<ETX>>","PeriodicalId":232478,"journal":{"name":"Proceedings [1990] IEEE Conference on Managing Expert System Programs and Projects","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127098492","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Adapting organization and management approaches to meet specific company AI development requirements","authors":"R. Mockler","doi":"10.1109/MESPP.1990.122693","DOIUrl":"https://doi.org/10.1109/MESPP.1990.122693","url":null,"abstract":"A panel has been formed to study situational approaches to organizing and managing knowledge-based system (KBS) development efforts. It is noted that the most effective approach to organizing KBS developmental efforts is to start with specific company situation requirements and then develop an organizing approach suited to the specific organization, system, people and available resource requirements, and limitations under study.<<ETX>>","PeriodicalId":232478,"journal":{"name":"Proceedings [1990] IEEE Conference on Managing Expert System Programs and Projects","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126378642","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}