Abstract
This paper presents a novel research project, which we call “social mathematics,” to resolve social issues (including complex and uncertain human activities) based on mathematical and artificial intelligence technologies. The research project aims to build the techniques for social system modeling, policy design and evaluation, and then to create a methodology of design processes for social systems. To clarify the elements of the techniques and methodology, we have tackled various types of case studies for resolving social issues. Through the case studies, we confirmed that the communication between the researchers and stakeholders is important in order to eliminate the discrepancy of cognition about problem situations. On the other hand, there were unique difficulties that we could not resolve easily in the system design processes. The future direction of this study is to systematize the important elements for social system design by analyzing the difficulties in detail while increasing case studies in different situations.
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Acknowledgment
We would like to thank to Dr. Y. Fukumoto, N. Kamiyama, and A. Kira for collaboration of this work. We also wish to thank to our colleagues for supporting this project.
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Ohori, K., Anai, H. (2018). Mathematical Technologies and Artificial Intelligence Toward Human-Centric Innovation. 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_2
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DOI: https://doi.org/10.1007/978-981-13-1849-8_2
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