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Adaptive Learning in Systems of Interacting Agents


A learning rule is adaptive if it is simple to compute, requires little information about the actions of others, and is plausible as a model of behavior [1, 2]. In this paper I survey a family of adaptive learning rules in which experimentation plays a key role. These rules have the property that, i......

【作者名称】: H. Peyton Young
【作者单位】: University of Oxford
【关 键 词】: Adaptive Learning in Systems of Interacting Agents
【会议名称】: Internet and network economics
【期刊论文数据库】: [DBS_Articles_05]
【期刊论文编号】: 189,353,560
【摘要长度】: 675
【会议地点】: Rome(IT);Rome(IT)
【会议组织】: University of Oxford;
【会议时间】: 2009
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