Data as models: an approach to implementing model management

Abstract The concept of model management as a logical extension and parallel of data management has resulted in attempts to extend existing data models to incorporate modeling functionality. This fosters a data-oriented view which artificially restricts the domain of model management. This paper suggests that a model-oriented approach which views ‘data as a model’ not only expands the scope of model management but also offers a more integrated and balanced conceptual foundation from which to implement model management. On the organizational level, this approach recognizes the transition from informal modeling as exemplified by the use of spreadsheets to formal modeling which manages models as a resource in conjunction with data. The notion of information administration is introduced as an organizational mechanism for controlling this evolution. On the technological level, a generalized model management system (GMMS) is required for support of organizational modeling activities. Geoffrion's structured modeling is suggested as a foundation from which to build a model-oriented GMMS. The incorporation of artificial intelligence capabilities into a GMMS is seen as a second implementation step which require the development of a sufficiently flexible meta-level architecture. Model abstractions are introduced as a vehicle for implementing this architecture.

[1]  Howard Wainer,et al.  Estimating Coefficients in Linear Models: It Don't Make No Nevermind , 1976 .

[2]  E. F. Codd,et al.  A relational model of data for large shared data banks , 1970, CACM.

[3]  James Martin,et al.  Information engineering , 1981 .

[4]  Robert W. Blanning.  A relational theory of model management , 1987 .

[5]  Douglas A. Wolfe,et al.  Nonparametric Statistical Methods , 1973 .

[6]  Hartmut J. Will,et al.  Model management systems , 1975 .

[7]  W. Edwards,et al.  Decision Analysis and Behavioral Research , 1986 .

[8]  Daniel R. Dolk,et al.  Knowledge Representation for Model Management Systems , 1984, IEEE Transactions on Software Engineering.

[9]  C. C. Waid,et al.  An Experimental Comparison of Different Approaches to Determining Weights in Additive Utility Models , 1982 .

[10]  R. Hogarth,et al.  Unit weighting schemes for decision making , 1975 .

[11]  Daniel J. Power,et al.  AN EMPIRICAL ASSESSMENT OF COMPUTER‐ASSISTED DECISION ANALYSIS* , 1986 .

[12]  Richard L. Nolan,et al.  Managing the computer resource , 1973, Commun. ACM.

[13]  Randall Davis,et al.  Meta-Rules: Reasoning about Control , 1980, Artif. Intell..

[14]  R. L. Keeney,et al.  Decisions with Multiple Objectives: Preferences and Value Trade-Offs , 1977, IEEE Transactions on Systems, Man, and Cybernetics.

[15]  Daniel R. Dolk,et al.  Model management in organizations , 1985, Inf. Manag..

[16]  Robert H. Bonczek,et al.  A Generalized Decision Support System Using Predicate Calculus and Network Data Base Management , 1981, Oper. Res..

[17]  Andrew B. Whinston,et al.  Foundations of Decision Support Systems , 1981 .

[18]  A. Tversky,et al.  Judgment under Uncertainty: Heuristics and Biases , 1974, Science.

[19]  V. Belton.  A comparison of the analytic hierarchy process and a simple multi-attribute value function , 1986 .

[20]  Ward Edwards,et al.  How to Use Multiattribute Utility Measurement for Social Decisionmaking , 1977, IEEE Transactions on Systems, Man, and Cybernetics.

[21]  Joyce J. Elam,et al.  Model Management Systems: an Approach to Decision Support in Complex Organizations , 1980, ICIS.

[22]  D. Bouyssou,et al.  Comparison of two decision-aid models applied to a nuclear power plant siting example , 1986 .

[23]  B. Fischhoff,et al.  Behavioral Decision Theory , 1977 .

[24]  R. Dawes,et al.  Linear models in decision making. , 1974 .

[25]  Jay W. Cohen,et al.  Structured modeling , 1982, Winter Simulation Conference.

[26]  D. A. Seaver,et al.  A comparison of weight approximation techniques in multiattribute utility decision making , 1981 .