您在项目中应用过博弈论吗？
我没有研究过博弈论，但它让我着迷。我的直觉是，大多数“企业应用程序”开发人员都没有使用它。然而，它显然与大型在线网站（例如推荐系统）相关，并且对SO影响巨大。
您在日常项目中应用过博弈论原理吗？如果是的话，有哪些原则？
I haven't studied game theory, but it fascinates me. My intuition is that it isn't used by most "enterprise app" developers. However, it is clearly relevant to the large online sites (e.g. recommendation systems), and a huge influence on SO.
Have you applied any principles of game theory in your daily projects? If so, which principles?
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我非常确定 Hal Varian 在 Google 的拍卖方面的工作一定带有浓厚的博弈论，或者至少是不确定性下决策的微观经济学......
I am pretty sure that Hal Varian's work on auctions at Google must have a strong flavor of game theory, or at least micro-economics of decisions under uncertainty...
我设计&很早之前为一个在线菜谱分享网站写了一个评论系统和推荐系统。推荐系统不需要任何博弈论，只需要统计数据和集合，但考虑到我必须通过评论解决的问题，它们绝对是博弈论的（尽管我在开始时并没有这样考虑）时间）。
我工作的网站面临的问题是，人们既可以是作者，也可以是审稿人，因此存在一定的压力，需要通过“压低”其他食谱的统计数据来“提高”自己的食谱统计数据。因此，必须从我们的规则中有机地发展出一种平衡，以抵消这种自私的冲动；我们根据其他人对其食谱的评论以及其他人认为他们的评论有多大帮助，通过每个用户的声誉评分来做到这一点。回想起来，我希望我在这里更严格地应用了一些博弈论。
一篇讨论同样问题的研究论文。
通过影响力限制实现抗操纵推荐系统，Resnick 和 Sami，2008 年。此处。< /a>
I designed & wrote a review system and recommendation system for an online recipe-sharing website a long time ago. The recommendation system didn't require any game theory, just stats and sets, but thinking about the problems I had to solve with the reviews, they were definitely game-theory-y (though I didn't think about it that way at the time).
The problem that the site I worked on faced was that people could be both authors and reviewers, so there was a certain pressure to "pump up" their own recipes' stats perhaps by "pushing down" others. So there was a balance that had to grow organically from our rules to offset that selfish impulse; we did this with a per-user reputation score based on other peoples' reviews of their recipes and how helpful other people thought their reviews were. In retrospect I wish I had more rigorously applied some game theory here.
A research paper which discusses the same.
Manipulation-Resistant Recommender Systems through Influence Limits, Resnick and Sami, 2008. Here.