Abstract
To date, agent-based social simulation (ABSS) is a popular method to study the behavior of a social system and the interaction of the constituent members of the system. With the development of computer and information technologies, many ABSS approaches have been proposed with wide application. However, the definitive methodology for modeling of the agent’s behavior in ABSS has not been established yet. This study proposes a new methodology of modeling of the agent’s behavior in ABSS using Bayesian network based on the questionnaire survey. This method enables us to simultaneously perform the construction of the agent’s behavior model and the estimation of the internal parameters within the model. This study took a Japanese medical insurance market as an example, since this complicated market deserves detailed consideration. We verified the effectiveness of the proposed methodology by applying the scenario analysis to this case.
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Acknowledgment
This work was supported by the Grant-in-Aid for Scientific Research (B) from the Japan Society for the Promotion of Science (JSPS), JSPS KAKENHI Grant Number 26282087.
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Matsumoto, O., Miyazaki, M., Ishino, Y., Takahashi, S. (2017). Method for Getting Parameters of Agent-Based Modeling Using Bayesian Network: A Case of Medical Insurance Market. In: Putro, U., Ichikawa, M., Siallagan, M. (eds) Agent-Based Approaches in Economics and Social Complex Systems IX. Agent-Based Social Systems, vol 15. Springer, Singapore. https://doi.org/10.1007/978-981-10-3662-0_4
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DOI: https://doi.org/10.1007/978-981-10-3662-0_4
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