演化博弈论
Game Theory Evolving
Herbert M. Gintis · 初版 2000 年
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该修订版收录了全新资料，向学生展示了如何运用博弈论来对人类行为进行建模，以体现社会性与个体性的特殊本质。本书继续深入探讨团队协作、基于主体建模的仿真、实验经济学，以及偏好的演化与扩散。
Hacker News 上怎么说
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Game Theory Evolving
Herbert M. Gintis · 初版 2000 年
该修订版收录了全新资料，向学生展示了如何运用博弈论来对人类行为进行建模，以体现社会性与个体性的特殊本质。本书继续深入探讨团队协作、基于主体建模的仿真、实验经济学，以及偏好的演化与扩散。
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……在那里研究它。他的一位同事/研究伙伴在自己的网站上提供了一本很棒的进化博弈论书籍，供感兴趣的人免费阅读：http://people.umass.edu/gintis/ 书名叫《Game Theory Evolving》
…studying it there. One of his colleagues/research partners has a good evolutionary game theory book available for free on his website for anyone interested: http://people.umass.edu/gintis/ It's called "Game Theory Evolving"
如果你还没看的话，建议看看赫伯特·金蒂斯的《Game Theory Evolving》。里面讲的正是这种东西。
You want to check out Game Theory Evolving, by Herbert Gintis, if you haven't already. It talks about exactly this kind of stuff.
享乐偏差的问题比文章指出的要更复杂。我会推荐赫伯特·金蒂斯的《Game Theory Evolving》。金蒂斯探讨了人类的短期偏差和双曲贴现，并指出这往往并不像表面上看起来那么“不理性”（特别是看看第11章）。不过这依然是一篇很棒的……
The question of hedonic bias is more complex than the article indicates. I would recommend Game Theory Evolving by Herbert Gintis. Gintis talks about human short-term bias and hyperbolic discounting and shows that this is often not as "irrational" as it seems (look especially at Chapter 11). Still it's a great…
我非常喜欢金蒂斯的《Game Theory Evolving》，它主要聚焦于进化博弈论。提醒一下，我当时用它的时候还是个生物学家，所以那本书跟我当时思考的东西关联度要高得多。
I really enjoyed Gintis's 'Game Theory Evolving', which focuses on evolutionary game theory. Mind you, I was a biologist when I was working with it, so that was much more relevant to what I was thinking about.
……任何人的行为。具体来说，如果人人都是“经济人”，即新古典经济学中风险中性的行为主体，社会本身在相当短的时间内就会崩溃。关于这方面的更多背景，我推荐赫伯特·金蒂斯的《Game Theory Evolving》。
…anyone's behavior. Specifically, if everyone was "homo-economicus", the neoclassical concept of the risk-neutral actor, society itself would collapse in fairly short order. I'd recommend Herbert Gintis, Game Theory Evolving, for more background on this.
……把数理逻辑篡改用于不恰当的目的。相反，我建议用进化博弈论的视角来理解日常互动。参见：https://books.google.com/books/about/Game_Theory_Evolving.ht...
…modify mathematical logic for inappropriate purposes. Instead, I'd recommend an evolutionary-game theoretic approach to understanding everyday interactions. See: https://books.google.com/books/about/Game_Theory_Evolving.ht...