Eureka Learning: Heuristics and response time in perfect information games

• 成果类型: Article
• 署名作者: McKinney, C. Nicholas, Jr.; Van Huyck, John B.
• 署名单位: Texas A&M University System; Texas A&M University College Station
• 刊物名称: GAMES AND ECONOMIC BEHAVIOR
• ISSN/ISSBN: 0899-8256
• DOI: 10.1016/j.geb.2013.02.003
• 发表日期: 2013
• 页码: 223-232
• 关键词: Bounded rationality; experiment; human behavior; learning; Nim; perfect information; heuristics

摘要

This paper investigates the possibility that people discover effective heuristics when playing similar perfect information games of varying complexity. We call this discovery experience Eureka Learning. We use a change-point analysis to identify 35 percent of our subjects as Eureka Learners. (c) 2013 Elsevier Inc. All rights reserved.