The decomposition of strategy-proof random social choice functions on dichotomous domains
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The decomposition of strategy-proof random social choice functions on dichotomous domains

机译:二分法域对战略的随机社交选择功能的分解

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AbstractA feature of strategy-proof and efficient random social choice functions (RSCFs) defined over several important domains is that they are fixed probability distributions over deterministic strategy-proof and efficient social choice functions. We call such domains deterministic extreme point (DEP) domains. Examples of DEP domains are the domain of all strict preferences and the domain of single-peaked preferences. We show that the dichotomous domain introduced in Bogomolnaia et?al. (2005) is not a DEP domain. We find a necessary condition for a strategy-proof RSCF to be written as a fixed probability distribution of deterministic strategy proof social choice functions. We show that this condition is compatible with efficiency. We also show that the condition is sufficient for decomposability in a special case.]]>
机译:<![cdata [ 抽象 在几个重要域中定义的战略证明和有效的随机社交选择功能(RSCF)的功能是它们是固定概率分布在确定性战略证明和高效的社交选择功能上。我们调用此类域确定性极端点(DEP)域。 DEP域的示例是所有严格偏好的域和单峰偏好的域。我们表明在Bogomolnaia等中引入的二分结构域。 (2005)不是DEP领域。我们找到了一个必要的条件,以便被编写为确定性战略证明社交选择功能的固定概率分布。我们表明这种情况与效率兼容。我们还表明,在特殊情况下,该病症足以进行分解性。 ]]>

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