SMS, a program package for simulation and gaming of stochastic market processes and learning behavior
著者
書誌事項
SMS, a program package for simulation and gaming of stochastic market processes and learning behavior
（Lecture notes in economics and mathematical systems, 202）
Springer-Verlag, 1982
- : gw
- : us
- タイトル別名
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S.M.S., a program package for simulation and gaming of stochastic market processes and learning behavior
大学図書館所蔵 全51件
注記
Bibliography: p. [264]-266
Includes index
内容説明・目次
目次
I Problems and Results.- 1 - Theoretical Background.- 1.1 Introductory Remarks on the Problems.- 1.2 The Micro-dynamics of Simultaneous Search.- 1.3 Learning and Adaptation with Sequentially Revealed Information.- 1.4 How are the Search Market Processes to be Explored?.- 2 - Some Applications and Results.- 2.1 The Theory of Monopoly with Imperfect Demand Information.- 2.2 The Theory of Monopolistic Competition if the Market Structure Results from the Existence of Imperfect Information.- 2 .3 Conclusions.- II The Economic Model of Individual Behavior and the Market Interaction.- 3 - Restrictions on the Firm's Behavior.- 3.1 The Main Ideas in the Setting-up of SMS.- 3.2 Production, Costs, and Expected Yields : Boundary Conditions and Inital Offers in the Subroutine ANGEB.- 3.3 Structure and Size of the Market Demand : The Subroutine NACHFR and NACHUM.- 4 - Simulating Interaction in the Market.- 4.1 The 'Why' and 'How' of Simulation - Some Theoretical Reflections.- 4.2 Simulating Interaction Explicitly : the Subroutines MATRIX, UMSPEI, and MATDRU.- 4.3 A Second Simulation Variant for the Case of an Isolated Monopoly : Subroutine HYPER.- 5 - Simulating the Behavioral Response.- 5.1 The Function of the REA..Subroutines, their Selection by the Subroutine WAHL, and the Associated Data Processing by the Subroutine AUSWER.- 5.2 Composition, Common Components, and Free Variables for Alternative Designs of REA..subroutines.- 5.3 Search for an Optimum and Control by an Adaptive Aspiration Level Combined : the Subroutine REAKT1.- 5.4 Pure Satisficing Behavior : the Subroutine REASAT.- 5.5 Search for an Optimum Along the Profit Gradient without Adaptive Aspiration Level : the Subroutine REAKT2.- 5.6 Estimating the Optimum on the Basis of a Simple Quasi Regression Procedure : the Subroutine REAOPT.- 6 - Applications of SMS in Laboratory Experimentation and Classroom-Teaching : The Gaming Version.- 6.1 Alternative Gaming Arrangements - With or Without Utilizing the Program Package : the Subroutines SPIEL and SPILES and the Alternative External Generation of Experimenter ' s Gaming Lists.- 6. 2 The Rules of the SMS-Game.- 6.3 Remarks on a Pilot Experiment.- III Program Organization and Input-Output-Facilities : The Technical Part.- 7 - The Controlling Program Sections.- 7.1 Monitoring Computer Operation in the First Part of SMS : the Main Program MONTE and the COMMON Block ADDELT.- 7.2 Simulating Individual Realizations of the Stochastic Market Process : the Subroutine HAUPT and the Auxiliary Routine ZUFALL.- 7.3 Some Remarks on Discretionary Parameter Changes in Simulation and Gaming with SMS.- 8 - Input and Control Facilities.- 8.1 Control Input in Batch Processing : Control Cards 'M', 'D', and 'G'.- 8.2 Data Input for Numerical Specification of the Model : Data cards '1' - '9', and ' Z'.- 8.3 Peculiarities in the Gaming Variant : Data Cards 'F' and 'S'.- 8.4 Input Data Processing and Recording in the Data Input List by the Subroutine EINLES.- 9 - Outputfacilities.- 9.1 Current Output Identification by the Subroutine DATUHR.- 9.2 Output Control for Documenting the Results, of a Single Run in a Monte Carlo Sequence.- 9.3 Printer Diagrams for Selected Trajectories Generated by the Subroutine GRAFIK.- 9.4 Processing the Data of a Monte Carlo Run in the Second Part of SMS : the Main Program HAUPT2 and the COMMON Block ADDELT2.- 9.5 Output Control for Documenting Results of a Monte Carlo Run.- 9.6 Generating Graphical Output in Part Two : Subroutines GRAF2 and PLOT1(K), PLOT2.- IV Appendices.- 10. Annotated Name List.- 11. Cross-Reference Listing.- References.
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