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本文引用的文献

1
An evolutionary model of bounded rationality and intelligence.有限理性和智能的进化模型。
PLoS One. 2012;7(11):e50310. doi: 10.1371/journal.pone.0050310. Epub 2012 Nov 21.
2
The evolution of overconfidence.过度自信的演变。
Nature. 2011 Sep 14;477(7364):317-20. doi: 10.1038/nature10384.
3
Index cohesive force analysis reveals that the US market became prone to systemic collapses since 2002.指数黏合力度分析表明,自 2002 年以来,美国市场变得容易发生系统性崩溃。
PLoS One. 2011 Apr 27;6(4):e19378. doi: 10.1371/journal.pone.0019378.
4
Genome sequence of the pattern forming Paenibacillus vortex bacterium reveals potential for thriving in complex environments.模式形成的涡旋芽孢杆菌的基因组序列揭示了其在复杂环境中茁壮成长的潜力。
BMC Genomics. 2010 Dec 17;11:710. doi: 10.1186/1471-2164-11-710.
5
Recent trends in infant mortality in the United States.美国婴儿死亡率的近期趋势。
NCHS Data Brief. 2008 Oct(9):1-8.
6
US infant mortality trends attributable to accidental suffocation and strangulation in bed from 1984 through 2004: are rates increasing?1984年至2004年美国因床上意外窒息和勒死导致的婴儿死亡率趋势:死亡率在上升吗?
Pediatrics. 2009 Feb;123(2):533-9. doi: 10.1542/peds.2007-3746.
7
Deadly competition between sibling bacterial colonies.兄弟细菌菌落之间的致命竞争。
Proc Natl Acad Sci U S A. 2009 Jan 13;106(2):428-33. doi: 10.1073/pnas.0811816106. Epub 2009 Jan 7.
8
Multicellular behavior in bacteria: communication, cooperation, competition and cheating.细菌中的多细胞行为:通讯、合作、竞争与欺骗。
Bioessays. 2008 Apr;30(4):296-8. doi: 10.1002/bies.20740.
9
Swarming and complex pattern formation in Paenibacillus vortex studied by imaging and tracking cells.通过对细胞成像和追踪研究解淀粉芽孢杆菌中的群体运动和复杂模式形成。
BMC Microbiol. 2008 Feb 25;8:36. doi: 10.1186/1471-2180-8-36.
10
Activation of prefrontal cortex by transcranial direct current stimulation reduces appetite for risk during ambiguous decision making.经颅直流电刺激激活前额叶皮层可降低模糊决策过程中的风险偏好。
J Neurosci. 2007 Jun 6;27(23):6212-8. doi: 10.1523/JNEUROSCI.0314-07.2007.

风险规避的起源。

The origin of risk aversion.

机构信息

Department of Mathematics, Massachusetts Institute of Technology, Cambridge, MA 02139;

School of Law, Northwestern University, Chicago, IL 60611-3069;

出版信息

Proc Natl Acad Sci U S A. 2014 Dec 16;111(50):17777-82. doi: 10.1073/pnas.1406755111. Epub 2014 Dec 1.

DOI:10.1073/pnas.1406755111
PMID:25453072
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4273387/
Abstract

Risk aversion is one of the most basic assumptions of economic behavior, but few studies have addressed the question of where risk preferences come from and why they differ from one individual to the next. Here, we propose an evolutionary explanation for the origin of risk aversion. In the context of a simple binary-choice model, we show that risk aversion emerges by natural selection if reproductive risk is systematic (i.e., correlated across individuals in a given generation). In contrast, risk neutrality emerges if reproductive risk is idiosyncratic (i.e., uncorrelated across each given generation). More generally, our framework implies that the degree of risk aversion is determined by the stochastic nature of reproductive rates, and we show that different statistical properties lead to different utility functions. The simplicity and generality of our model suggest that these implications are primitive and cut across species, physiology, and genetic origins.

摘要

风险规避是经济行为最基本的假设之一,但很少有研究探讨风险偏好从何而来,以及为什么人与人之间存在差异。在这里,我们提出了一个关于风险规避起源的进化解释。在一个简单的二元选择模型的背景下,如果生殖风险是系统性的(即在给定的一代中个体之间相关),那么自然选择就会产生风险规避。相比之下,如果生殖风险是特质性的(即在给定的每一代中个体之间不相关),那么就会产生风险中性。更一般地说,我们的框架意味着风险规避的程度取决于生殖率的随机性质,我们还表明,不同的统计特性会导致不同的效用函数。我们模型的简单性和通用性表明,这些含义是原始的,并且跨越了物种、生理学和遗传起源。