Validation Risk in Hierarchical Models
- Resource Type
- Conference
- Authors
- Young, John B.; Ezell, Barry
- Source
- 2019 Winter Simulation Conference (WSC) Winter Simulation Conference (WSC), 2019. :3086-3097 Dec, 2019
- Subject
- Computing and Processing
General Topics for Engineers
Data models
Analytical models
Mathematical model
Runtime
Semantics
Measurement
Interoperability
- Language
- ISSN
- 1558-4305
Using a model as an input data source for integration into another model carries with it risks to the validity of the model composition. This paper presents research into the inherent risks of model integration. The research decomposes models into sets of semantic concepts allowing for a calculation of structural alignment. Measurable changes in a model’s output due to the integration of another model provide an impact assessment. Risks to decisions arise from incompatible assumptions and constructions of models. We present a risk assessment as a tuple containing differences in models’ alignment across three axes and in changes in a model’s output metrics. Risks to decisions arise from incompatible assumptions and constructions of models.