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尽管社会科学仍然描述多于量度,然而它们却正在变得更为依赖数学了。最常用的一些技巧,近年来已经有了进展。今后,看来这些问题似乎更会激励新数学的产生。从数学上来说,社会科学似乎比物理学要远为困难些。这无需惊异,因为一个委员会的洽谈远比太阳系的轨道来得复杂。此外,社会科学家常常需要适于定性处理的而不是定量的数学。本文通过一些高度简化的模型,说明社会科学家,当他们不能作出精确的量度时是怎样去使用数学的。论题涉及从典型的商业决策直至森林中的孤兔生态平衡。在社会科学中这些初步的成果,使人感到数学为社会科学的服务将会愈来愈好。
Although social science still describes more than measures, they are becoming more dependent on mathematics. Some of the most commonly used techniques have progressed in recent years. From now on, it seems that these problems seem to inspire the emergence of new mathematics. Mathematically, social science seems far more difficult than physics. This does not need to be a surprise, because the negotiation of a committee is far more complex than that of the solar system. In addition, social scientists often need mathematical rather than quantitative mathematics suitable for qualitative treatment. This article illustrates some of the highly simplified models of how social scientists use math when they can not make accurate measurements. The topics involved range from typical business decisions to the ecological balance in the forests. These initial achievements in the social sciences make people feel that mathematics will serve the social sciences more and more well.