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Something out of nothing: a Bayesian learning computational model for the social construction of value
The Journal of Mathematical Sociology ( IF 1 ) Pub Date : 2019-08-18 , DOI: 10.1080/0022250x.2019.1652173
Lynette A. Shaw 1
Affiliation  

ABSTRACT This article develops a formalism for the social construction of value. Using a model based on Bayesian agents, it demonstrates how “something” arises out of “nothing” via the emergence of durable value conventions and shows how the developed framework can be used to investigate socially constructed valuations under a variety of circumstances. The resulting analysis clarifies why assumptions that collectives will converge upon the “intrinsic” (i.e., non-socially originating) value of an object (e.g., market efficiency) may not hold for mixed social and non-social valuation regimes, explains the dependency of socially constructed valuations on early accidents, demonstrates the effects of confident actors on constructed values, and identifies the production of time-dependent ratcheting effects from the interaction of bubbles with value conventions.

中文翻译:

无中生有:价值社会建构的贝叶斯学习计算模型

摘要 本文为价值的社会建构发展了一种形式主义。使用基于贝叶斯代理的模型,它展示了“某物”如何通过持久价值约定的出现从“无”中产生,并展示了开发的框架如何用于在各种情况下调查社会构建的估值。结果分析阐明了为什么集体将收敛于对象的“内在”(即非社会起源)价值(例如市场效率)的假设可能不适用于混合的社会和非社会估价制度,解释了对早期事故的社会构建估值,展示了自信的参与者对构建价值的影响,
更新日期:2019-08-18
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