Abstract
When modeling social systems, grounding of the model with regard to the real-world aspects that are the target for modeling allows for the determination of model parameters, as well as consideration of the consistency between the behavior of the overall system and real data. Hence, grounding is a part of conventional methods for obtaining external validation of a model (Schreiber C, Carley KM (2007) Agent interactions in construct: an empirical validation using calibrated grounding. In Proceedings of the Behavior Representation in Modeling and Simulation Conference (BRIMS)). Real-world grounding is essential to scenario analysis of specific management conditions, and when performing grounding, actual data serve as the connection between the model and the real world.
Adapted from Kotaro Ohori, Mariko Iida, and Shingo Takahashi “Virtual Grounding for Facsimile Model Construction where Real Data is Incomplete” SICE Journal of Control, Measurement, and System Integration, Vol. 6, No. 2, pp. 108–116 (2013). Partly reprinted by permission of The Society of Instrument and Control Engineers.
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Notes
- 1.
Before conducting the main questionnaire survey for VG, we conducted a brief screening questionnaire. First we gained the rates of people having experience of visiting TDS in different ages, which are 18–19, 20–29, 30–39, 40–49, and 50–59. Then we multiply the rate by the number of Japanese population in each age. As a result, we identified the age distribution of the sample participants.
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Takahashi, S. (2018). Virtual Grounding for Agent-Based Modeling in Incomplete Data Situation. In: Kurahashi, S., Takahashi, H. (eds) Innovative Approaches in Agent-Based Modelling and Business Intelligence. Agent-Based Social Systems, vol 12. Springer, Singapore. https://doi.org/10.1007/978-981-13-1849-8_15
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