Agent Based Simulation of Digital Contents Platform Strategy

2016 Fiscal Year Final Research Report

• Project/Area Number: 26870720
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Intelligent informatics; Management
• Research Institution: Shizuoka University
• Principal Investigator: Lee Hao 静岡大学, 情報学部, 准教授 (20411332)
• Project Period (FY): 2014-04-01 – 2017-03-31
• Keywords: デジタルコンテンツ / コンテンツプラットフォーム / 消費者調査 / 多変量解析 / 因子分析 / エージェントベースシミュレーション / ハイブリッドゲーミングシミュレーション / ビジネス戦略

Outline of Final Research Achievements

We perform an internet survey of digital content platform users, and got about 1,800 samples. We conduct factor analysis and extract parameters of contents consumers from those data. We create a model using those properties, introduced parameters at the individual level to the consumer agent, and created a decision model of them. In addition, we conducted agent-based simulation in which platform holders and contents providers are implemented with learning AI agents and hybrid gaming simulation in which human players play the role of contents providers. We examined the strategy of digital content platform using each simulation method.

Free Research Field

社会シミュレーション