[1988] Proceedings of the Twenty-First Annual Hawaii International Conference on System Sciences. Volume III: Decision Support and Knowledge Based Systems Track最新文献
{"title":"Logics for knowledge-based systems","authors":"R. Stachowitz","doi":"10.1109/HICSS.1988.11920","DOIUrl":"https://doi.org/10.1109/HICSS.1988.11920","url":null,"abstract":"The author claims that progress in knowledge-based systems (KBS) and semantic data model (SDM) theory can be considerably expedited if SDM and KBS researchers make more use of discussions and results in contemporary nonstandard logics. He supports this claim by discussing typical SDM/KBS problems in the framework of discussions and solutions provided in some nonstandard logics, which are mostly versions of modal and many-valued logics. By means of the problems discussed, the author derives a list of required properties of a logic for SDMs and KBSs.<<ETX>>","PeriodicalId":339507,"journal":{"name":"[1988] Proceedings of the Twenty-First 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":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122309867","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":"Reasoning in model management systems","authors":"T. Liang","doi":"10.1109/HICSS.1988.11942","DOIUrl":"https://doi.org/10.1109/HICSS.1988.11942","url":null,"abstract":"The issues involved in the reasoning process are discussed. A hierarchy of abstractions that integrates previous contributions in modeling process is formulated as a planning process by which a set of operators are scheduled to achieve a specified goal. This process involves searches for alternatives that can eliminate the difference between the initial state and the goal state. Various reasoning strategies and heuristic evaluation functions that can be used to improve the efficiency of model integration are discussed.<<ETX>>","PeriodicalId":339507,"journal":{"name":"[1988] Proceedings of the Twenty-First Annual Hawaii International Conference on System Sciences. Volume III: Decision Support and Knowledge Based Systems Track","volume":"71 1-2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132655245","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 investigation of performance, productivity, and rationality in multi-criteria decision making","authors":"L. Volonino, P. Kirs","doi":"10.1109/HICSS.1988.11883","DOIUrl":"https://doi.org/10.1109/HICSS.1988.11883","url":null,"abstract":"The outcomes of multicriteria decisions are evaluated in terms of three distinct but interrelated measures: decision performance, decision-making productivity, and decision-maker rationality. Depending on whether subjects considered all of the criteria in their decisions or eliminated at least one, two groups of decision-makers emerged, called noneliminators, and eliminators. Their productivity was measured in terms of time and cognitive effort. The results indicate that eliminators consistently outperformed the noneliminators and had consistently higher confidence ratings as the number of alternatives increased. Noneliminators were significantly more productive timewise than eliminators. The degree of difference increased as the number of alternatives increased. Conversely, eliminators were significantly more productive in terms of cognitive effort, but the magnitude of the differences decreased drastically with increased alternatives.<<ETX>>","PeriodicalId":339507,"journal":{"name":"[1988] Proceedings of the Twenty-First 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":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131004961","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":"KDL-advisor: a knowledge/data based system written in KDL","authors":"W. Potter","doi":"10.1109/HICSS.1988.11923","DOIUrl":"https://doi.org/10.1109/HICSS.1988.11923","url":null,"abstract":"A novel approach is described for building intelligent information systems (or knowledge-base management systems). The approach utilizes the knowledge data language, which is a schema specification language developed for the knowledge/data model. The model, referred to as a hypersemantic data model, captures both knowledge semantics, as specified in knowledge-based systems, and data semantics, as represented by semantic data models. Hypersemantic data models facilitate the incorporation of knowledge in the form of heuristics, uncertainty, constraints and other artificial intelligence concepts, together with object-oriented concepts found in semantic data models. The unified knowledge/data modeling features and constructs of the language are used to develop a prototype knowledge base management system, the KDL-advisor.<<ETX>>","PeriodicalId":339507,"journal":{"name":"[1988] Proceedings of the Twenty-First 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":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131264619","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":"Sensitivity analysis in hierarchical fuzzy logic models","authors":"R. Blanning","doi":"10.1109/HICSS.1988.11943","DOIUrl":"https://doi.org/10.1109/HICSS.1988.11943","url":null,"abstract":"A method developed previously for performing sensitivity analysis with systems based on two-valued logic is extended to the case in which all points in the closed unit interval are possible truth values and the rules of fuzzy logic apply. The advantage of this approach over incrementing inputs and observing outputs are that (1) some insight may be gained into the structure of the model, as when one node 'blocks' changes in another node from propagating upward, and (2) the sensitivity measures are proved to be true (one-sided) derivatives, which may not be the case when simulations are performed with positive and negative increments. These results apply to an important class of information structures found in knowledge-based decision support systems.<<ETX>>","PeriodicalId":339507,"journal":{"name":"[1988] Proceedings of the Twenty-First Annual Hawaii International Conference on System Sciences. Volume III: Decision Support and Knowledge Based Systems Track","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127212878","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 financial investment assistant","authors":"K. Kandt, P. Yuenger","doi":"10.1109/HICSS.1988.11948","DOIUrl":"https://doi.org/10.1109/HICSS.1988.11948","url":null,"abstract":"The analysis of financial markets is a time-consuming complex, and error-prone process. The system described which is still under development, is an attempt to improve this process by partially automating the acquisition, analysis, and selection of financial market investments. The ultimate goal is to fully automate this activity. The current approach is to use technical analysis and fundamental analysis to determine when to buy, sell, or hold various instruments and artificial intelligence techniques to select a portfolio of stocks and/or options based on the goals of the system user. The tool uses a dynamic interface that is reactive to human interaction.<<ETX>>","PeriodicalId":339507,"journal":{"name":"[1988] Proceedings of the Twenty-First Annual Hawaii International Conference on System Sciences. Volume III: Decision Support and Knowledge Based Systems Track","volume":"471 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122536090","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":"Composite models in SYMMS","authors":"W. A. Muhanna, R. Pick","doi":"10.1109/HICSS.1988.11936","DOIUrl":"https://doi.org/10.1109/HICSS.1988.11936","url":null,"abstract":"SYMMS is a model management system inspired by concepts from systems theory. The coupling of individual models to form composite models is supported. A description is given of the formalism and language used for specifying composite models in SYMMS.<<ETX>>","PeriodicalId":339507,"journal":{"name":"[1988] Proceedings of the Twenty-First 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":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129440939","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 support of cooperative activities","authors":"W. Bruce Croft, L. Lefkowitz","doi":"10.1109/HICSS.1988.11922","DOIUrl":"https://doi.org/10.1109/HICSS.1988.11922","url":null,"abstract":"A system that is designed to support cooperative activities and the decision-making that is part of them must contain knowledge about the activities, the objects they create and manipulate, and the people or agents who are responsible for their execution. The authors describe such a system, called POLYMER, that emphasizes the use of planning techniques for flexible activity execution and exception handling. The representation of multiagent activities is described in detail, and examples are given of how a negotiation process is used to resolve inconsistencies that arise during activity execution.<<ETX>>","PeriodicalId":339507,"journal":{"name":"[1988] Proceedings of the Twenty-First Annual Hawaii International Conference on System Sciences. Volume III: Decision Support and Knowledge Based Systems Track","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128997682","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":"Flexible user interface for decision support systems","authors":"C. Holsapple, S. Park, R. Stansifer, A.B. Whinstn","doi":"10.1109/HICSS.1988.11910","DOIUrl":"https://doi.org/10.1109/HICSS.1988.11910","url":null,"abstract":"Interface flexibility, in terms of both the language system and problem processor response mechanism, depends on the nature of the development tool. A technique is presented for constructing both generic and customized interfaces in the context of an environment-type development tool. A language is introduced for representing an internal layer of knowledge as well as mappings to various generic and/or customized presentation modes of an external layer of knowledge representation and processing. The CML language integrates useful features found in a variety of other languages within a strongly typed context.<<ETX>>","PeriodicalId":339507,"journal":{"name":"[1988] Proceedings of the Twenty-First Annual Hawaii International Conference on System Sciences. Volume III: Decision Support and Knowledge Based Systems Track","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127231300","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":"Containing strategic information systems risk: control and intelligence","authors":"A. Gilbert, M.F. Vitale","doi":"10.1109/HICSS.1988.11888","DOIUrl":"https://doi.org/10.1109/HICSS.1988.11888","url":null,"abstract":"The author identifies and validates a framework useful for both practitioners and researchers to integrate current work in identifying the risks associated with strategic information systems. Risks are defined, identified, and categorized, and practical actions to minimize organizational vulnerabilities associated with the introduction of these systems are outlined, on the basis of both literature review and personal observation.<<ETX>>","PeriodicalId":339507,"journal":{"name":"[1988] Proceedings of the Twenty-First Annual Hawaii International Conference on System Sciences. Volume III: Decision Support and Knowledge Based Systems Track","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132112519","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}