Glossary
- Model/model system :
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A model is an abstract representation of a concrete (“real”) system. Models can be descriptive or prescriptive (normative). Their functions can be to enable explanation, anticipation, or design. A distinction used in this contribution is between causal and noncausal models, with System Dynamics models being of the former type. The term model system is used to stress the systemic character of a model; this serves to identify it as an organized whole of variables and relationships, on the one hand, and to distinguish it from the real system which is to be modeled, on the other.
- Model validity :
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A model’s property of reflecting adequately the system modeled. Validity is the main feature of model quality. It is a matter of degree, not a dichotomized property.
- Model purpose :
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The goal for which a model is designed or the function it is supposed to fulfill. The model purpose adheres closely to the end-model user or model owner. Model purpose is the criterion for...
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Appendix: Overview of the Tests Described in This Entry
Appendix: Overview of the Tests Described in This Entry
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Tests of Model-Related Context
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Test of Model Framing
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Issue Identification Test
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Adequacy of Methodology Test
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System Configuration Test
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System Improvement Test
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Tests of Model Structure
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Direct Structure Tests
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Structure Examination Test
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Parameter Examination Test
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Direct Extreme Condition Test
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Boundary Adequacy Structure Test
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Dimensional Consistency Test
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Indirect Structure Tests
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Mass-Balance Check
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Indirect Extreme Condition Test
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Behavior Sensitivity Test
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Integration Error Test
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Boundary Adequacy Behavior Test/Boundary Adequacy Policy Test
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Loop Dominance Test
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Tests of Model Behavior
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Behavior Reproduction Tests
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Symptom Generation Test
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Frequency Generation and Phase Relationship Test
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Modified Behavior Test
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Multiple Modes Test
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Behavior Characteristic Test
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Behavior Anticipation Tests
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Pattern Anticipation Test
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Event Anticipation Test
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Behavior Anomaly Test
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Family Member Test
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Surprise Behavior Test
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Turing Test
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Schwaninger, M., Groesser, S. (2018). System Dynamics Modeling: Validation for Quality Assurance. In: Meyers, R. (eds) Encyclopedia of Complexity and Systems Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27737-5_540-4
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DOI: https://doi.org/10.1007/978-3-642-27737-5_540-4
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Chapter history
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Latest
System Dynamics Modeling: Validation for Quality Assurance- Published:
- 25 September 2018
DOI: https://doi.org/10.1007/978-3-642-27737-5_540-4
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Original
System Dynamics Modeling: Validation for Quality Assurance- Published:
- 03 December 2016
DOI: https://doi.org/10.1007/978-3-642-27737-5_540-3