Belief-independence and (robust) strategy-proofness

IF 0.9 4区 经济学 Q3 ECONOMICS
Michael Müller
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引用次数: 0

Abstract

Abstract An important appeal of strategy-proofness is the robustness that it implies. Under a strategy-proof voting rule, every individual has an optimal strategy independently of the behavior of all other voters, namely truth-telling. In particular, optimal play is robust with respect to the beliefs voters may have about the type and the behavior of the other voters. Following Blin and Satterthwaite (Economet J Economet Soc 45(4):881–888, 1977), we call this logically weaker property “belief-independence.” In this paper, we give a number of examples of voting rules that are belief-independent but not strategy-proof. However, we also show that belief-independence implies strategy-proofness under a few natural additional conditions. The notion of belief-independence naturally leads to a the strengthening of strategy-proofness to “robust” strategy-proofness which requires that no voter whose true preference may come from a restricted domain can benefit by submitting any unrestricted preference ordering given any unrestricted preference profile for all other voters. There are examples of strategy-proof voting rules (on a restricted domain) that are not robustly strategy-proof, but under natural additional conditions the two properties are shown to be equivalent.
信念独立性和(鲁棒性)策略证明性
策略证明性的一个重要吸引力是它所隐含的鲁棒性。在不受策略影响的投票规则下,每个人都有一个独立于所有其他选民行为的最优策略,即说实话。特别是,最优玩法是稳健的,因为投票者可能对其他投票者的类型和行为持有信念。继Blin和Satterthwaite (Economet J Economet Soc 45(4): 881-888, 1977)之后,我们将这种逻辑上较弱的性质称为“信念独立性”。在本文中,我们给出了一些投票规则的例子,这些规则是信念独立的,但不是策略证明的。然而,我们也证明了在一些自然的附加条件下,信念独立性意味着策略抗性。信念独立性的概念自然会导致将策略抗扰性强化为“稳健的”策略抗扰性,这要求真正偏好可能来自受限领域的选民,在给定所有其他选民的任何不受限制的偏好配置文件的情况下,都不能通过提交任何不受限制的偏好排序而受益。有一些(在受限域上)防策略投票规则的例子,它们不是鲁棒防策略的,但在自然的附加条件下,这两个属性被证明是等价的。
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来源期刊
CiteScore
1.60
自引率
0.00%
发文量
62
期刊介绍: The field of decision has been investigated from many sides. However, research programs relevant to decision making in psychology, management science, economics, the theory of games, statistics, operations research, artificial intelligence, cognitive science and analytical philosophy have remained separate. Theory and Decision is devoted to all aspects of decision making belonging to such programs, but addresses also possible cross-fertilizations between these disciplines which would represent effective advances in knowledge. The purpose of the journal is to let the engineering of choice gradually emerge both for individual and for collective decision making. Formalized treatments will be favoured, to the extent that they provide new insights into the issues raised and an appropriate modeling of the situation considered. Due to its growing importance, expermentation in decision making as well as its links to the cognitive sciences will be granted special attention by Theory and Decision. Of particular interest are: Preference and belief modeling, Experimental decision making under risk or under uncertainty, Decision analysis, multicriteria decision modeling, Game theory, negotiation theory, collective decision making, social choice, Rationality, cognitive processes and interactive decision making, Methodology of the decision sciences. Applications to various problems in management and organization science, economics and finance, computer-supported decision schemes, will be welcome as long as they bear on sufficiently general cases. Analysis of actual decision making processes are also relevant topics for the journal, whether pertaining to individual, collective or negotiatory approaches; to private decisions or public policies; to operations or to strategic choices. Officially cited as: Theory Decis
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