The Neuroeconomics of Voting: Neural Evidence of Different Sources of Utility in Voting
نویسندگان
چکیده
Which motives drive the decision of a voter to approve or reject a policy proposal? The Public Choice literature distinguishes between instrumental and expressive voting motives. We investigated the importance of these motives by analyzing the patterns of neural activity in different voting situations. We conducted a functional magnetic resonance imaging experiment that investigates neural activation at the moment of voting and used the altruism scale proposed by Tankersley, Stowe, and Huettell (2007) to differentiate between altruists and nonaltruists. Nonaltruists showed neural activation patterns that were consistent with expressive voting motives. Among nonaltruists, we also observed activation patterns that point at egoistic instrumental motives. Both results are in line with the corresponding Public Choice literature. On the other hand, we found no evidence for expressive voting motives among altruists. Their neural activation pattern was generally much less conclusive with respect to the underlying motives.
منابع مشابه
Voting and different ranking orders in DEA
Data Envelopment Analysis (DEA) technique now widely use for efficiency evaluation of a set of Decision Making Units (DMUs). As regards of the necessity for ranking efficient units different DEA models presented each of which has advantages and rank efficient units from special aspects. Note that all the existing ranking models have disadvantages, as well and there is not a model in which all t...
متن کاملDouble voter perceptible blind signature based electronic voting protocol
Mu et al. have proposed an electronic voting protocol and claimed that it protects anonymity of voters, detects double voting and authenticates eligible voters. It has been shown that it does not protect voter's privacy and prevent double voting. After that, several schemes have been presented to fulfill these properties. However, many of them suffer from the same weaknesses. In this p...
متن کاملVoting Algorithm Based on Adaptive Neuro Fuzzy Inference System for Fault Tolerant Systems
some applications are critical and must designed Fault Tolerant System. Usually Voting Algorithm is one of the principle elements of a Fault Tolerant System. Two kinds of voting algorithm are used in most applications, they are majority voting algorithm and weighted average algorithm these algorithms have some problems. Majority confronts with the problem of threshold limits and voter of weight...
متن کاملVoting Algorithm Based on Adaptive Neuro Fuzzy Inference System for Fault Tolerant Systems
some applications are critical and must designed Fault Tolerant System. Usually Voting Algorithm is one of the principle elements of a Fault Tolerant System. Two kinds of voting algorithm are used in most applications, they are majority voting algorithm and weighted average algorithm these algorithms have some problems. Majority confronts with the problem of threshold limits and voter of weight...
متن کاملAn improved approach for ranking the candidates in a voting system based on efficiency intervals
This paper proposes improvements and revisions to a recent approach in a voting system, and provides an effective approach with a stronger discriminate power. For this purpose, the advantage of a linear transformation is utilized to redene a previously used concept of virtual worst candidate, by incorporating the existing weight restrictions. Then, the best score of this virtual candidate is us...
متن کامل