人工知能学会第二種研究会資料
Online ISSN : 2436-5556
スケールフリーネットワークを用いた階層的ネットワークによる 政治的意思決定のシミュレーション
須藤 勇一郎加藤 昇平武藤 敦子
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研究報告書・技術報告書 フリー

2013 年 2013 巻 DOCMAS-005 号 p. 04-

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Representative members who make laws and heads of local governments are elected by citizens in Japan. Therefore, elections are one of the most important factors in future political or economic trends. There are a lot of researchers, such as social psychologists and political scientists, focusing on voters' decision-making processes. Lazarsfield et al. argued that people called opinion leaders had a powerful effect or influence on others. However, it is difficult to observe how voters make political decisions. We proposed a simulation model based on both Latane's dynamic social impact theory (DSIT) simulation model and Riker and Ordeshook's expected utility model of voting behavior to analyze political decision-making by using multi-agent simulation. Agents in the propose model communicate with order utility that is based on ambiguity in communicating information. Agents are generated from a database of public opinion polls. Then, agents are given social attributes and values of political parties. The agents' communication space is a hierarchical network constructed by agents that have the same or similar attributes. We analyzed the effect of opinion leaders on voters' political decision-making by using hierarchical network constructed with scale-free networks in the experiment.

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