Judgment aggregation and minimal change: a model of consensus formation by belief revision

Judgment aggregation and minimal change: a model of consensus formation by belief revision
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判断聚合和最小变化:通过信念修正形成共识的模型

DOI:
10.1007/s11238-017-9642-8
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发表时间:
2018
影响因子:
0.8
通讯作者:
Marcel
Marcel
中科院分区:
经济学4区
文献类型:
--
作者:
Heidemann;Marcel

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当一组主体试图就某些问题达成一致意见时,通常希望最终的共识尽可能接近于个体的原始判断。然而,当这些判断在逻辑上与进一步的信念联系在一起时,亲密的概念也应该考虑到个人必须在多大程度上修改他们的整个信念集才能达成一致。在这项工作中,我们提出了一个关于给定议程的协议生成模型,该议程允许个人认知巩固来影响共识的价值。虽然转换函数的假设和构造类似于AGM信念修正的假设,但议程的概念来自于判断聚合理论。这允许我们的模型连接两个框架。
When a group of agents attempts to reach an agreement on certain issues, it is usually desirable that the resulting consensus be as close as possible to the original judgments of the individuals. However, when these judgments are logically connected to further beliefs, the notion of closeness should also take into account to what extent the individuals would have to revise their entire belief set to reach an agreement. In this work, we present a model for generation of agreement with respect to a given agenda which allows individual epistemic entrenchment to influence the value of the consensus. While the postulates for the transformation function and their construction resemble those of AGM belief revision, the notion of an agenda is adapted from the theory of judgment aggregation. This allows our model to connect both frameworks.
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