在互联网平台上不公平竞争的"多代理共同治理"系统的进化游戏理论分析
1School of Economics and Trade, Chongqing Business Vocational College, Chongqing, China.
PloS one
|June 20, 2024
概括
不公平的平台竞争 (IPUC) 阻碍了经济增长. 引入随机性会破坏共同治理的稳定性,但连续性战略提供了灵活性. 更高的处罚和公众参与是积极结果的关键.
科学领域:
- 经济学 经济学 经济学
- 游戏理论 游戏理论
- 计算社会科学 计算社会科学
背景情况:
- 互联网平台 (IPUC) 上的不公平竞争对平台经济的可持续发展构成重大威胁.
- 经典的进化游戏模型经常简化复杂的现实世界场景,限制它们对动态市场条件的适用性.
研究的目的:
- 加强在互联网平台 (IPUC) 上不公平竞争的经典二元决定性进化游戏模型.
- 分析随机干扰和连续策略集对多代理共同治理系统的影响.
- 为设计有效的IPUC监管框架提供见解.
主要方法:
- 通过结合随机干扰和连续策略集来修改经典的二进制决定性进化游戏系统.
- 在不同的游戏场景下分析平衡点的稳定性.
- 评估各种参数的影响,包括惩罚强度和非政府组织和公众的参与水平.
主要成果:
- 随机干扰破坏了IPUC联合治理系统中的正平衡状态 (1,1),需要更严格的稳定条件.
- 在受到随机干扰时,IPUC多代理共同治理系统表现出脆弱性.
- 一套持续的战略允许政府部门和互联网平台根据预期的回报进行更灵活和最佳的决策.
结论:
- 维持非政府组织和公众的充分参与,以及加强惩罚执法,促进了IPUC治理的积极进化轨迹.
- 这些发现为政府制定强有力的监管体系提供了宝贵的指导,以打击互联网平台上的不公平竞争.
- 进化游戏中的连续策略集在复杂的经济环境中为最佳决策提供了更大的弹性.
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