Study on decision-making and behavior of economic agents in endogeneous and dynamic social and economic systems

2018 Fiscal Year Final Research Report

• Project/Area Number: 15K01180
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Social systems engineering/Safety system
• Research Institution: Yamaguchi University
• Principal Investigator: YAMADA Takashi 山口大学, 国際総合科学部, 准教授 (90401570)
• Project Period (FY): 2015-04-01 – 2019-03-31
• Keywords: モデリング / 意思決定 / 異質性 / 学習

Outline of Final Research Achievements

The objective of this project is to establish the framework of agent-based computational economics methodology for the social and economic systems with heterogeneous agents. For this, the researcher picks up ad-auction and Swedish lottery and then develops the behavioral and learning models of agents.
The main findings are as follows: First, it would be better not to bid when it is less likely to win in ad-auction. Second, there are more participants in the Swedish lottery where only one player could win than that where there is a possibility that plural participants may earn rewards.

Free Research Field

社会シミュレーション

Academic Significance and Societal Importance of the Research Achievements

エージェントの意思決定・行動モデルが確立されると、説得力が高く、利用者が容易に理解することができ、検証と評価が可能な社会システム研究の方法論の構築が期待される。また、事例分析や数理モデルなどで表現しにくい社会現象を操作可能なモデルとして実現し、領域専門家が自由に利用できる環境が提供される。