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In recent years a number of innovative applications of modern support technology have been presented and published at a number of international conferencesSuch as the HICSS, INFORMS, IFORS, EURO, DSI, ICIS and ECIS conferences.. T...
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In recent years a number of innovative applications of modern support technology have been presented and published at a number of international conferencesSuch as the HICSS, INFORMS, IFORS, EURO, DSI, ICIS and ECIS conferences.. The challenge for future research is still to explore and understand both successes and failures with the innovative and more advanced intelligent systems constructs. It is a truism in the field that the key problems never appear to be technology related, but they are “people problems”: (i) people have cognitive constraints in adopting intelligent systems, (ii) people do not really understand the support they get and disregard it in favor of past experience and visions, (iii) people cannot really handle large amounts of information and knowledge, (iv) people are frustrated by theories they do not really understand, and (v) people believe they get more support by talking to other people (even if their knowledge is limited). We will explore the lessons learned from implementing hyperknowledge – an intelligent support platform for strategic management – and we will study how this platform may be enhanced with new results in intelligent systems and soft computing.This paper was originally presented at the ISDSS'99 Conference in Melbourne, July 19–22, 1999.
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We address in this paper a problem of autonomous agents performing in a common environment where each agent has a goal to achieve before a given deadline. Each agent must determine a local plan and then react properly to the local...
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We address in this paper a problem of autonomous agents performing in a common environment where each agent has a goal to achieve before a given deadline. Each agent must determine a local plan and then react properly to the local plans of other agents before a given deadline. The solution presented consists in using progressive planning that adapts the detail of local plans according to local deadlines, and progressive negotiation that organizes conflicts between local plans into categories and solves them progressively from a mandatory category to an optional one. This structuration of conflicts in categories contributes in solving first, the most important conflicts in order to guarantee, when it is possible, the coordination of the mandatory part of the plan before the deadline. Our negotiation model is based on the modified PGP (Partial Global Planning) approach, named Partial Global Progressive Planning (PGPP), which is an incremental strategy to insert partial local plans progressively one by one. This strategy consists in discarding optional partial local plans of an agent when a deadline is exceeded or global consistency is violated. We show that this approach reduces the costs of detecting and solving conflicts. This approach can be seen as a step towards the application of contract-net type systems to real-world problems.
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Evvident and growing research interest has been witnessed on the relationship between the use of commputer-based syystemms and effectivve commmmunication in group-related activvities such as collaborativve learning and training. T...
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Evvident and growing research interest has been witnessed on the relationship between the use of commputer-based syystemms and effectivve commmmunication in group-related activvities such as collaborativve learning and training. The vvarious termms accorded to this research streamm include vvirtual teamms, e-collaboration, commputer-supported collaborativve work, distributed work, electronic mmeetings, etc. AA notable and well-accepted aspect in the information system field is group support systems (GSS), the focus of this article. The numerous GSS studies have reported findings which may not be altogether consistent. An overall picture is much in want which attends to the synthesizing of the findings accumulated over decades. This article presents a mmeta-analyysis studyy aimmed at gaining a general understanding of GSS effects. We invvestigate six immportant mmoderators of group outcommes, nammelyy group size, task tyype, anonymymityy, timme and proximmityy, levvel of technologyy, and the existence of facilitation. The results point to immportant conclusions about the phenommenon of interest; in particular, their immplications vvis-?vvis commputer-supported collaborativve learning technologies and use are discussed and highlighted along each dimmension of the studied vvariables.
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Decision support software designed to meet specific needs of executives is referred to as an Executive Information System (EIS). This provides a means for information to be accessed, created, and analyzed-on-demand by high-level e...
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Decision support software designed to meet specific needs of executives is referred to as an Executive Information System (EIS). This provides a means for information to be accessed, created, and analyzed-on-demand by high-level executives using personal coputers, local area networks, minicomputers, or a centralized mainframe. Executive decisions are generally broad and based, to a large extent, on intuition. These characteristics are reflected in the executive decision-making environment, which is itself characterized by a lack of structure, a high degree of uncertainty, a future orientation, informal sources, and a low level of detail. Executive Information Systems can directly aid and support some business decisions. Strategic-planning capabilities, an external environment focus, ease of learning and use, and custom tailoring to meet the unique needs of individual executives are common properties of Executive Information Systems. This paper reports the findings of a study of executives in major U.S. corporations regarding the status, trends, benefits, and plans for future development of Executive Information Systems. A comparative analysis of user satisfaction and specific issues associated with the leading EIS Systems is also presented.
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The aim of research support systems (RSS) is to enhance , develop and support research, Which is a major and important part of decision support systems (DSS) for scientists and researchers. Scientists are helped by Web based RSS(W...
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The aim of research support systems (RSS) is to enhance , develop and support research, Which is a major and important part of decision support systems (DSS) for scientists and researchers. Scientists are helped by Web based RSS(WRSS) in their research processes which are carried on the Web platform. WRSS are based on the assembling, integration, adaption and continuing advancement of existing computer technology and information systems for the purpose of research in the field of computers and technology. A framework of WRSS is presented by focusing on research activities and its various phases, as well as the technology support needed. The emphasis is on the conceptual formulation of WRSS. Different systems are linked to various research activities, and a mass of support sub-systems is established.The results of WRSS may lead to new and viable research tools.
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In this paper, we describe a comprehensive study conducted to understand the methodologies which are being used to design Intelligent Decision Support Systems (IDSSs) and to identify the key methodological problems and benefits wi...
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In this paper, we describe a comprehensive study conducted to understand the methodologies which are being used to design Intelligent Decision Support Systems (IDSSs) and to identify the key methodological problems and benefits with using these methodologies. This comprehensive study consists of two parts. The first part is two surveys which together identify the design methodologies being used by a group of IDSS developers and how acceptable they believe their methodologies were for designing their IDSSs. The second part is a comparison of six major formal IDSS design methodologies recently published in the literature and which are not yet known to many developers. This paper is presented to assist IDSS developers in understanding what support can be gained from using existing design methodologies and hence choose the correct one for their project. Furthermore, the paper may be used by IDSS developers to compare the way that they work with the approach proposed by other developers.
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The initially revolutionary DSS agenda is now ancient history. This paper argues that "decision support" provides a richer basis than "DSS" in both practice and research. Using a loan-processing example involving two banks, it sho...
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The initially revolutionary DSS agenda is now ancient history. This paper argues that "decision support" provides a richer basis than "DSS" in both practice and research. Using a loan-processing example involving two banks, it shows how work system concepts might be applied to understand decision support in real world settings, and how decision support can come from many sources other than technical artifacts such as DSS. Shifting the focus from "DSS as artifact" to "decision support within a work system" reduces the chances of being misled by techno-hype, vendor sales pitches, and incomplete understanding of determinants of success in organizations.
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The focus of this paper is on a new concept framework and an architecture of an intelligent decision support syetem generator (DSSG). The framework results from a synthesis of two existing frameworks: Spragae and Bonczek, while th...
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The focus of this paper is on a new concept framework and an architecture of an intelligent decision support syetem generator (DSSG). The framework results from a synthesis of two existing frameworks: Spragae and Bonczek, while the architecture is a rooted partial order network. From our experience which comes out of the project of DSSG, we consider that they are keys of further research and development of DSS.
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A detailed study to propose new design support systems for underground mine was carried out in this paper. The depth was increased to develop the production in accordance with the vein.The cut and fill mining method was selected f...
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A detailed study to propose new design support systems for underground mine was carried out in this paper. The depth was increased to develop the production in accordance with the vein.The cut and fill mining method was selected for this mine in line with the geometry of vein, topographic specifications, and annual production rates.Excavationsize, distance between stope and decline, depth, and the impact of fault governedthe induced stresses. Different depths in multiple excavations were analyzed in this study especially on decline area. The rock properties of investigated areawere defined from the field and laboratory test for each rock type. Support systems for the decline were designed based on the suggestions of the Rock Mass Rating (RMR) system and the Q system for rock mass classification. Induced stress on different levels were calculated to define Stress Reduction Factor (SRF) and applied to predict the support system by Q system. New method namely Hybrid Numerical Empirical Model was developed to support requirement analysis in cut and fill mining method. The support system requirement influenced by depth. The shotcrete will be thicker and rock bolt space more closely as increasing the depth.
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Decision support consists in helping a decision-maker to improve his/her decisions. However, clients requesting decision support are often themselves experts and are often taken by third parties and/or the general public to be res...
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Decision support consists in helping a decision-maker to improve his/her decisions. However, clients requesting decision support are often themselves experts and are often taken by third parties and/or the general public to be responsible for the decisions they make. This predicament raises complex challenges for decision analysts, who have to avoid infringing upon the expertise and responsibility of the decision-maker. The case of diagnosis decision support in healthcare contexts is particularly illustrative. To support clinicians in their work and minimize the risk of medical error, various decision support systems have been developed, as part of information systems that are now ubiquitous in healthcare contexts. To develop, in collaboration with the hospitals of Lyon, a diagnostic decision support system for day-today customary consultations, we propose in this paper a critical analysis of current approaches to diagnostic decision support, which mainly consist in providing them with guidelines or even full-fledged diagnosis recommendations. We highlight that the use of such decision support systems by physicians raises responsibility issues, but also that it is at odds with the needs and constraints of customary consultations. We argue that the historical choice to favor guidelines or recommendations to physicians implies a very specific vision of what it means to support physicians, and we argue that the flaws of this vision partially explain why current diagnostic decision support systems are not accepted by physicians in their application to customary situations. Based on this analysis, we propose that decision support to physicians for customary cases should be deployed in an "adjustive" approach, which consists in providing physicians with the data on patients they need, when they need them, during consultations. The rationale articulated in this article has a more general bearing than clinical decision support and bears lessons for decision support activities in other contexts where decision-makers are competent and responsible experts.
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