Strategic Teaching and Learning in Games

Burkhard C. Schipper
{"title":"Strategic Teaching and Learning in Games","authors":"Burkhard C. Schipper","doi":"10.2139/ssrn.2594193","DOIUrl":null,"url":null,"abstract":"We show there is no uncoupled learning heuristic leading to Nash equilibrium in all finite games that a player has an incentive to adopt, that would be evolutionary stable, or that could “learn itself.” Rather, a player has an incentive to strategically teach a learning opponent to secure at least the Stackelberg leader payoff. This observation holds even when we restrict to generic games, two-player games, potential games, games with strategic complements, or 2 × 2 games, in which learning is known to be “nice.” It also applies to uncoupled learning heuristics leading to correlated equilibria, rationalizability, iterated admissibility, or minimal CURB sets. (JEL C73, D83)","PeriodicalId":174014,"journal":{"name":"PRN: Decision Theory (Topic)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"PRN: Decision Theory (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.2594193","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

We show there is no uncoupled learning heuristic leading to Nash equilibrium in all finite games that a player has an incentive to adopt, that would be evolutionary stable, or that could “learn itself.” Rather, a player has an incentive to strategically teach a learning opponent to secure at least the Stackelberg leader payoff. This observation holds even when we restrict to generic games, two-player games, potential games, games with strategic complements, or 2 × 2 games, in which learning is known to be “nice.” It also applies to uncoupled learning heuristics leading to correlated equilibria, rationalizability, iterated admissibility, or minimal CURB sets. (JEL C73, D83)
游戏中的策略教学
我们发现,在所有有限的博弈中,没有解耦学习启发式导致纳什均衡,玩家有动机采用这种博弈,这将是进化稳定的,或者可以“自我学习”。相反地,玩家有一种动机去策略性地教导一个正在学习的对手,以确保至少获得Stackelberg领导收益。即使我们局限于一般游戏、双人游戏、潜在游戏、具有战略互补的游戏或2x2游戏,这种观察结果也成立,在这些游戏中,学习被认为是“不错的”。它也适用于导致相关均衡、合理性、迭代可容许性或最小约束集的解耦学习启发式。(凝胶c73, d83)
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信