Subjectivity in inductive inference

• 成果类型: Article
• 署名作者: Gilboa, Itzhak; Samuelson, Larry
• 署名单位: Hautes Etudes Commerciales (HEC) Paris; Tel Aviv University; Yale University
• 刊物名称: THEORETICAL ECONOMICS
• ISSN/ISSBN: 1933-6837
• DOI: 10.3982/TE845
• 发表日期: 2012-05-01
• 页码: 183-215
• 关键词: Inductive inference; simplicity; prediction; learning

摘要

This paper examines circumstances under which subjectivity enhances the effectiveness of inductive reasoning. We consider agents facing a data-generating process who are characterized by inference rules that may be purely objective (or data-based) or may incorporate subjective considerations. Agents who invoke no subjective considerations are doomed to ineffective learning. The analysis places no computational or memory limitations on the agents: the role for subjectivity emerges in the presence of unlimited reasoning powers.