Some conceptual and technical problems in integrating models of judgment with simulation models

Recent research has focused on how policy makers learn from and make better use of policy-oriented simulation models. It is proposed that those who construct simulation models make simplifying assumptions concerning the wide range of judgment tasks that surround both model building and decision making in real policy contexts. Linking formal judgment models with formal simulation models has been suggested as an approach to dealing with those simplifications. A demonstration experiment that illustrates how simulation models and models of human judgment explicitly can be linked within a unified framework is presented. In creating this linkage six important conceptual and technical problems are encountered and discussed. While many of the technical problems are believed to result from the specific approaches used in the study, the broader conceptual problems are believed to persist, even if differing methods are used. >

[1]  Edward L. Thorndike,et al.  Fundamental theorems in judging men. , 1918 .

[2]  R. Plackett,et al.  THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS , 1946 .

[3]  J. Forrester Principles of systems : text and workbook, chapters 1 through 10 , 1968 .

[4]  Jay Wright Forrester,et al.  Urban Dynamics , 1969 .

[5]  Counterintuitive behavior of social systems , 1971 .

[6]  I. Levin,et al.  Invariance of the weight parameter in information integration , 1976, Memory & cognition.

[7]  Alan K. Graham,et al.  Introduction to Urban Dynamics , 1976 .

[8]  Edward B. Roberts,et al.  Strategies for Effective Implementation of Complex Corporate Models , 1977 .

[9]  J. K. Klitz,et al.  How Systems Analysts Can Provide More Effective Assistance to the Policy Maker , 1977 .

[10]  Kenneth R. Hammond,et al.  Linking Environmental Models with Models of Human Judgment: A Symmetrical Decision Aid , 1977, IEEE Transactions on Systems, Man, and Cybernetics.

[11]  Kenneth R. Hammond,et al.  Scientific Information, Social Values, and Policy Formation: The Application of Simulation Models and Judgment Analysis to the Denver Regional Air Pollution Problem , 1979, IEEE Transactions on Systems, Man, and Cybernetics.

[12]  Michael Garet,et al.  Introduction to Computer Simulation: The System Dynamics Approach , 1982 .

[13]  William K. Balzer,et al.  Reliability of actual and predicted judgments across time , 1983 .

[14]  Paulette Middleton,et al.  Integration of technical and value issues in air quality policy formation: A case study , 1983 .

[15]  P. Farquhar State of the Art—Utility Assessment Methods , 1984 .

[16]  Ross D. Shachter DAVID: influence diagram processing system for the macintosh , 1986, UAI.

[17]  John D. Sterman,et al.  Testing Behavioral Simulation Models by Direct Experiment , 1987 .

[18]  T. R. Stewart Chapter 2 Judgment Analysis: Procedures , 1988 .

[19]  John D. W. Morecroft,et al.  System dynamics and microworlds for policymakers , 1988 .

[20]  B. Brehmer Chapter 1 The Development of Social Judgment Theory , 1988 .

[21]  Peter M. Senge,et al.  Organizational Learning: A New Challenge for System Dynamics , 1989 .

[22]  George P. Richardson,et al.  Eliciting Group Knowledge for Model-Building , 1989 .

[23]  Daniel H. Kim Learning Laboratories: Designing a Reflective Learning Environment , 1989 .

[24]  Dennis Meadows Gaming to Implement System Dynamics Models , 1989 .

[25]  D. Andersen Analyzing who gains and who loses: The case of school finance reform in new york state , 1990 .