{"title":"Expert systems in data processing: California Travel Expense Claim System","authors":"Allyson Bartman-Gatt","doi":"10.1109/MESPP.1990.122704","DOIUrl":"https://doi.org/10.1109/MESPP.1990.122704","url":null,"abstract":"The CALTREC project automated the process of creating State of California Travel Expense Claims. This project is a good representative of the types of projects expected to be done by the State of California. The application is heavily embedded into traditional data processing systems, which added much additional work outside the scope of what is considered to be knowledge engineering. The author describes the CALTREC application and why it was built, what it took to build the application and why traditional data processing skills were essential to the project's success. It is noted that the present work should be of interest to those who are considering building expert systems as well as to those who are evaluating alternative software and hardware platforms for implementation and deployment of expert systems applications.<<ETX>>","PeriodicalId":232478,"journal":{"name":"Proceedings [1990] IEEE Conference on Managing Expert System Programs and Projects","volume":"40 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":"114079620","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":"Building a distributed expert system capability","authors":"J. Griesser, T. Tubalkain","doi":"10.1109/MESPP.1990.122701","DOIUrl":"https://doi.org/10.1109/MESPP.1990.122701","url":null,"abstract":"The authors discuss the metamorphosis of the Expert System Program at the US Navy Finance Center from an untested concept to the successful distribution of expert system technology. The management philosophy, organization plan, and staffing requirements are reviewed as related to the distribution of the technology to the end users. The benefits and problems associated with this metamorphosis are surveyed. It is concluded that the benefits of a distributed approach to expert systems development far outweigh any problems associated with the method.<<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":"133704048","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":"Knowledge acquisition and the expert system life cycle","authors":"L. Medsker, A. La Salle, D. Hillmer","doi":"10.1109/MESPP.1990.122711","DOIUrl":"https://doi.org/10.1109/MESPP.1990.122711","url":null,"abstract":"The role that the knowledge engineer and knowledge acquisition (KA) play in the expert system life cycle is described. The authors address the issues that need to be understood about the similarities and differences between expert systems development and traditional tasks in the system development life cycle. Guidelines to choosing KA strategies are presented.<<ETX>>","PeriodicalId":232478,"journal":{"name":"Proceedings [1990] IEEE Conference on Managing Expert System Programs and Projects","volume":"42 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":"120950138","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":"Managing the FAME expert system project","authors":"J. Griesmer","doi":"10.1109/MESPP.1990.122685","DOIUrl":"https://doi.org/10.1109/MESPP.1990.122685","url":null,"abstract":"FAME is a long term project within the IBM Research Division, one of whose objectives is to provide a comprehensive advisory system for financial marketing to IBM marketing representatives. At the same time, FAME has served as a test vehicle for a number of ideas relating to knowledge representation, problem solving, and the management of large knowledge based systems. The author describes the FAME expert system, giving particular emphasis to testing and validation procedures that were instituted, and indicates what lessons have been learned. It is concluded that the use of a structured inheritance network, such as K-Rep, as the core knowledge representation service for an expert system provides considerable benefits in its construction. Its enforced semantics encourages a disciplined method of knowledge engineering. This forces system designers to make more careful representation decisions than would otherwise be made in a system without enforced semantics; at the same time, it performs a built-in consistency check as the attributes of objects in K-Rep are assigned values.<<ETX>>","PeriodicalId":232478,"journal":{"name":"Proceedings [1990] IEEE Conference on Managing Expert System Programs and Projects","volume":"8 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":"126897671","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":"The future of expert systems","authors":"S.D. Lee","doi":"10.1109/MESPP.1990.122702","DOIUrl":"https://doi.org/10.1109/MESPP.1990.122702","url":null,"abstract":"A panel discussion on the future of expert systems is presented. First, Inference Corporation's experiences in the areas of tools, methodologies and future research directions are described. Secondly, new areas and designs of applications beyond the first generation of expert systems are considered. A methodology combining traditional information systems technology and expert systems technology is then presented. Finally, the role of human elements in making expert system projects successful is discussed.<<ETX>>","PeriodicalId":232478,"journal":{"name":"Proceedings [1990] IEEE Conference on Managing Expert System Programs and Projects","volume":"38 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":"127042632","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}