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{{cite journal|author1 = Michael J. Campbell | author2 = [[Vernon L. Smith]] | title = An elementary humanomics approach to boundedly rational quadratic models | journal = Physica A |year=2020| volume = 562 | page = 125309 |doi=10.1016/j.physa.2020.125309| url =https://www.researchgate.net/publication/343657559}}</ref> There, a model correctly predicts that agents are averse to resentment and punishment, and that there is an asymmetry between gratitude/reward and resentment/punishment. The classical Nash equilibrium is shown to have ''no'' predictive power for that model, and the Gibbs equilibrium must be used to predict phenomena outlined in ''Humanomics''.<ref name = "SmWi">{{cite book|author = [[Vernon L. Smith]] and [[Bart J. Wilson]]|date=2019|title=Humanomics: Moral Sentiments and the Wealth of Nations for the Twenty-First Century|url=https://www.cambridge.org/core/books/humanomics/1B4064A206BD99DB36E794B53ADF8BB4|doi = 10.1017/9781108185561|publisher=Cambridge University Press|isbn=9781108185561}}</ref>
{{cite journal|author1 = Michael J. Campbell | author2 = [[Vernon L. Smith]] | title = An elementary humanomics approach to boundedly rational quadratic models | journal = Physica A |year=2020| volume = 562 | page = 125309 |doi=10.1016/j.physa.2020.125309| url =https://www.researchgate.net/publication/343657559}}</ref> There, a model correctly predicts that agents are averse to resentment and punishment, and that there is an asymmetry between gratitude/reward and resentment/punishment. The classical Nash equilibrium is shown to have ''no'' predictive power for that model, and the Gibbs equilibrium must be used to predict phenomena outlined in ''Humanomics''.<ref name = "SmWi">{{cite book|author = [[Vernon L. Smith]] and [[Bart J. Wilson]]|date=2019|title=Humanomics: Moral Sentiments and the Wealth of Nations for the Twenty-First Century|url=https://www.cambridge.org/core/books/humanomics/1B4064A206BD99DB36E794B53ADF8BB4|doi = 10.1017/9781108185561|publisher=Cambridge University Press|isbn=9781108185561}}</ref>
'''<font color="#ff8000">弗农·L·史密斯 Vernon L. Smith</font>'''利用这些技巧为经济学中的社交性建立了模型。在这里，一个模型正确地预测了代理人厌恶怨恨和惩罚，以及感激/奖励和怨恨/惩罚之间的不对称。经典的纳什均衡点模型对这个模型没有预测能力，吉布斯平衡必须用来预测在 Humanomics 概述的现象。
'''<font color="#ff8000">弗农·L·史密斯 Vernon L. Smith</font>'''利用这些技巧为经济学中的社交性建立了模型。在这里，一个模型正确地预测了行为主体反对怨恨和惩罚，以及感激/奖励和怨恨/惩罚之间的不对称情况。经典的纳什均衡点模型对这个模型没有预测能力，吉布斯平衡必须在 Humanomics 概述的现象中进行预测。
Quantifiers derived from information theory were used in several papers by econophysicist [http://www.aureliofernandez.net/ Aurelio F. Bariviera] and coauthors in order to assess the degree in the informational efficiency of stock markets.
Quantifiers derived from information theory were used in several papers by econophysicist [http://www.aureliofernandez.net/ Aurelio F. Bariviera] and coauthors in order to assess the degree in the informational efficiency of stock markets.
经济物理学家奥雷里奥·F·巴里维拉和合著者在几篇论文中使用了来自'''<font color="#ff8000">信息论 information theory</font>'''的量词，以评估股票市场信息效率的程度。