[1989] Proceedings of the Twenty-Second Annual Hawaii International Conference on System Sciences. Volume III: Decision Support and Knowledge Based Systems Track最新文献
{"title":"A knowledge-based DSS for supporting ill-structured multiple criteria decisions","authors":"Ilyoo B. Hong, Douglas R. Vogel, J. Nunamaker","doi":"10.1109/HICSS.1989.49246","DOIUrl":"https://doi.org/10.1109/HICSS.1989.49246","url":null,"abstract":"Focusing on qualitative reasoning processes as a key area of A1 (artificial intelligence) application for decision support, the authors propose an architecture for designing an intelligent DSS (decision-support system) that is intended to aid in MCDM (multiple-criteria decision making) in ill-structured situations. An MCDM DSS, for its maximum contribution to organizational problem-solving, must be capable of lending effective support to high-level as well as low-level management decisions. A commercial loan approval judgement case is described to illustrate the real-world situation where decisions usually require a high degree of intuition and subjective judgement. Development of a prototype intended to partially represent application of the architecture is described. The authors conclude with suggestions for research extensions.<<ETX>>","PeriodicalId":384442,"journal":{"name":"[1989] Proceedings of the Twenty-Second Annual Hawaii International Conference on System Sciences. Volume III: Decision Support and Knowledge Based Systems Track","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1989-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128393399","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":"An agent-theoretic perspective on the management of information systems","authors":"V. Gurbaxani, C. Kemerer","doi":"10.1109/HICSS.1989.49234","DOIUrl":"https://doi.org/10.1109/HICSS.1989.49234","url":null,"abstract":"Agency theory, a relatively novel approach that extends traditional microeconomics by including certain organizational variables, is proposed as a means of analyzing a large set of problems in the MOIS (management of information systems) literature. An introduction is given to agency theory and the authors demonstrate its applicability to resource allocation and organization structure decisions in MOIS.<<ETX>>","PeriodicalId":384442,"journal":{"name":"[1989] Proceedings of the Twenty-Second Annual Hawaii International Conference on System Sciences. Volume III: Decision Support and Knowledge Based Systems Track","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1989-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128461291","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 potential for parallel processing and neural computing in management decision support","authors":"R. Trippi, E. Turban","doi":"10.1109/HICSS.1989.49240","DOIUrl":"https://doi.org/10.1109/HICSS.1989.49240","url":null,"abstract":"Some of the current parallel-processing architectures are discussed, and management-science-type problems amenable to solution using coarse-grained multiple-instruction, multiple-data parallel computers are identified. Applications of neural computing in management science are also discussed. It is shown that the real promise of parallelism is not just in doing the same things faster, but in routinely solving problems which were previously extraordinarily difficult or even impossible to solve, or where the solution was not economically justifiable because of the large computational effort. In a qualitative sense, parallel processing enables approaching certain problems from an entirely different perspective.<<ETX>>","PeriodicalId":384442,"journal":{"name":"[1989] Proceedings of the Twenty-Second Annual Hawaii International Conference on System Sciences. Volume III: Decision Support and Knowledge Based Systems Track","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1989-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130764921","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":"A heuristic framework for assessing factors influencing knowledge acquisition","authors":"M. Prietula, P. Feltovich, F. Marchak","doi":"10.1109/HICSS.1989.49271","DOIUrl":"https://doi.org/10.1109/HICSS.1989.49271","url":null,"abstract":"The authors describe a heuristic framework for understanding and investigating factors influencing cognitive malleability and, consequently, knowledge acquisition efforts. To examine their framework, they investigated the effects of modifying task materials and goal availability on engineering problem-solving performance and the nature of the knowledge acquired. For one set of four engineers, the dynamic group, any manipulations made by an engineer to a component parameter would be immediately followed by an analysis of the effects of the manipulation. The static group (also four engineers) received no feedback.<<ETX>>","PeriodicalId":384442,"journal":{"name":"[1989] Proceedings of the Twenty-Second Annual Hawaii International Conference on System Sciences. Volume III: Decision Support and Knowledge Based Systems Track","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1989-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130815822","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":"STRATEGY 1: distributed military strategy expert system on a microcomputer Ethernet","authors":"X.-Z. Zeng, H. Sun, J.-J. Ruan, Z.-J. Yuan, C. Tu","doi":"10.1109/HICSS.1989.49182","DOIUrl":"https://doi.org/10.1109/HICSS.1989.49182","url":null,"abstract":"The authors introduce STRATEGY 1, a distributed military strategy expert system on the Ethernet, which is used in requirement prediction for Chinese defense. They describe the system architecture, the methodology of distributed problem-solving by multiple expert systems using Lisp, Prolog, and fuzzy methods, communication among workstations, and graphic display of the results by AUTOCAD and AUTOLISP.<<ETX>>","PeriodicalId":384442,"journal":{"name":"[1989] Proceedings of the Twenty-Second Annual Hawaii International Conference on System Sciences. Volume III: Decision Support and Knowledge Based Systems Track","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1989-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114370891","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 processing of numerical uncertainty associated with the components of if then rules: experiments with human subjects","authors":"L. Pipino, W. Rybolt, D. Kopcso","doi":"10.1109/HICSS.1989.49238","DOIUrl":"https://doi.org/10.1109/HICSS.1989.49238","url":null,"abstract":"The authors present the results of an experiment that was conducted to explore how individuals interpret and manipulate uncertainty in basic logical operations. Results indicate that the commonly used models are not as universally appropriate as has been assumed. These results have implications for the process of knowledge acquisition, the design of the system/user interface, and general issues of system development. Collecting information to construct an expert system, duplicating reasoning by using an expert system, and displaying results to decision makers require an understanding of how people actually reason with and use uncertain information.<<ETX>>","PeriodicalId":384442,"journal":{"name":"[1989] Proceedings of the Twenty-Second Annual Hawaii International Conference on System Sciences. Volume III: Decision Support and Knowledge Based Systems Track","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1989-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124561914","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":"A dynamically configurable networked knowledge-based system for group decision-making","authors":"V. Jacob, H. Pirkul","doi":"10.1109/HICSS.1989.49189","DOIUrl":"https://doi.org/10.1109/HICSS.1989.49189","url":null,"abstract":"A group decision support system should ideally be tailored to the needs of the group on a continuous basis. Since most groups are formed and disbanded frequently, it is usually not feasible to create a group decision support system tailored to meet the specific needs of each group unless there already exists an infrastructure within the organization's computer system to do so. The authors propose such an infrastructure, namely a networked knowledge-based system that can be dynamically configured and reconfigured. The proposed framework allows group members to exchange data and information outside of meetings, resulting in more productive meetings. It can also minimize the necessity for interaction between group members outside of meetings, thus allowing them to utilize their time better.<<ETX>>","PeriodicalId":384442,"journal":{"name":"[1989] Proceedings of the Twenty-Second Annual Hawaii International Conference on System Sciences. Volume III: Decision Support and Knowledge Based Systems Track","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1989-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132101585","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":"Supporting intelligent organizations: problem solving and learning","authors":"R. G. Hunt, G. Sanders","doi":"10.1109/HICSS.1989.49279","DOIUrl":"https://doi.org/10.1109/HICSS.1989.49279","url":null,"abstract":"The foundations of a psychology of intelligent organizations based on contemporary and traditional cognitive theory is described. This organizational psychology is then used to describe the architecture for an integrated learning and problem-solving system. The ultimate purpose of the system is to support organizational cognition by facilitating the understanding, formalization, and development of technology. It is reasonable to consider organizations as intelligent systems because they have the capability to abstract, interact, and learn from their environments.<<ETX>>","PeriodicalId":384442,"journal":{"name":"[1989] Proceedings of the Twenty-Second Annual Hawaii International Conference on System Sciences. Volume III: Decision Support and Knowledge Based Systems Track","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1989-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132310505","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":"Optimal database reorganization policies: a stochastic control approach","authors":"J.S. Park, R. Bartoszynski, H. Pirkul","doi":"10.1109/HICSS.1989.49194","DOIUrl":"https://doi.org/10.1109/HICSS.1989.49194","url":null,"abstract":"The problem of determining optimal reorganization policies for databases which use file structures with overflow chaining is studied. The dynamics of the file performance driven by update transactions and reorganizations is formulated as a stochastic control model which incorporates microlevel design parameters of the physical file structure. Polynomial-time procedures for solving the optimization models are developed for two cases: when the file size is stationary as in the steady-state and when the file size evolves stochastically with a nonlinear trajectory. The model and the solution procedures are applied to an ISAM file, an order-preserving random-access file, revealing the effectiveness of the solution procedures and the relationship between file-design parameters and the optimal policy.<<ETX>>","PeriodicalId":384442,"journal":{"name":"[1989] Proceedings of the Twenty-Second Annual Hawaii International Conference on System Sciences. Volume III: Decision Support and Knowledge Based Systems Track","volume":"7 18","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1989-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120841794","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-based real-time machines interaction","authors":"S. Nof","doi":"10.1109/HICSS.1989.49242","DOIUrl":"https://doi.org/10.1109/HICSS.1989.49242","url":null,"abstract":"The authors describe the need for robotic machine interaction and discuss their recent and ongoing research projects in two main areas: multirobot systems, and interactive robotic devices (IRD) for handicapped persons. In both areas they have found the knowledge-based interaction increases significantly the flexibility, reliability, and responsiveness of the system. A number of decision-support modeling approaches for intermodule communication, distributed control, and distributed decision-making for concurrent and cooperative machine activities are described. They are currently being investigated for their usefulness in answering the research problems.<<ETX>>","PeriodicalId":384442,"journal":{"name":"[1989] Proceedings of the Twenty-Second Annual Hawaii International Conference on System Sciences. Volume III: Decision Support and Knowledge Based Systems Track","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1989-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116085264","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}