Abstract
A societal system study investigates a targeted social case in order to extract universal structures behind the scenes while modelling the extracted structures. By demonstrating that the investigated social case is explicable, this study verifies the validity of the theory. This paper introduces inference methods for agent model parameters and inverse simulation methods for verifying validity within a societal system study. This paper then attempts to describe that these methods correspond to the optimal control problem in a dynamic model. The latter part of this paper introduces the Chinese imperial examination model as the case of inductive inference based on an inverse simulation method and the labour market model as a case of deductive inference.
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Kurahashi, S. (2018). Model Prediction and Inverse Simulation. 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_11
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DOI: https://doi.org/10.1007/978-981-13-1849-8_11
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