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Salivary Oxytocin Has Nonlinear Relationships with Trust and Reciprocity 唾液催产素与信任和互惠存在非线性关系
IF 0.9 Q4 ECONOMICS Pub Date : 2023-02-20 DOI: 10.3390/g14010017
Sakura Arai, Motoki Watabe, K. Kanari, Qiulu Shou, F. Krueger, Haruto Takagishi
Oxytocin has been proposed to regulate human trust. Previous experiments supported this claim by demonstrating that exogenous and endogenous oxytocin is associated with trust (how much trust people place in strangers) and reciprocity (how much people reciprocate when trusted). However, recent replication attempts have been unsuccessful in demonstrating the trust-enhancing effect of oxytocin, and there is limited evidence on whether oxytocin is associated with reciprocity. This study aimed to replicate the previously found nonlinear relationships between the endogenous oxytocin concentration and both trust and reciprocity by utilizing a monetarily incentivized trust game. In a college sample, we found that salivary oxytocin levels showed (i) an inverted U-shaped relationship with trust in men and (ii) a U-shaped relationship with reciprocity in women. The current results confirm the previous finding that endogenous oxytocin levels have nonlinear relationships with trust and reciprocity. Further research on the role of oxytocin secretion in trust and reciprocity is warranted.
催产素被认为可以调节人类的信任。先前的实验支持了这一观点,证明外源性和内源性催产素与信任(人们对陌生人的信任程度)和互惠(人们在信任时的回报程度)有关。然而,最近的复制尝试并没有成功证明催产素增强信任的作用,并且关于催产素是否与互惠有关的证据有限。本研究旨在通过金钱激励的信任游戏来复制先前发现的内源性催产素浓度与信任和互惠之间的非线性关系。在一个大学样本中,我们发现唾液催产素水平与男性的信任呈倒u型关系,与女性的互惠呈u型关系。目前的研究结果证实了先前的发现,即内源性催产素水平与信任和互惠之间存在非线性关系。进一步研究催产素分泌在信任和互惠中的作用是必要的。
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引用次数: 2
Risk-Averse and Self-Interested Shifts in Groups in Both Median and Random Rules 中位数和随机规则下群体的风险均值和自利转移
IF 0.9 Q4 ECONOMICS Pub Date : 2023-02-13 DOI: 10.3390/g14010016
Yoshio Kamijo, Teruyuki Tamura
The purpose of this study was to determine whether attitudes toward risk and altruism are affected by being in a group or being alone. In contrast to previous economic research on group decision-making, we excluded the effects of group informal discussions, which are thought to be a “black box” when individuals make decisions in a group. In this regard, the subjects in our experiment were only requested to show their faces to the other members, without further communication. Moreover, we adopted two collective decision rules, i.e., the median rule and the random rule, which provide the truth-telling mechanism. In the experiments of both anonymous investment and donation, we found that the subjects who made decisions in a group offered significantly lower amounts than those who made decisions alone, after controlling for individuals’ risk and altruistic preferences. The findings imply that people are more risk-averse and self-interested when they are in a group, regardless of which collective decision rules are adopted.
这项研究的目的是确定对风险和利他主义的态度是否受到群体或独处的影响。与以往关于群体决策的经济学研究相反,我们排除了群体非正式讨论的影响,当个人在群体中做出决策时,非正式讨论被认为是一个“黑匣子”。在这方面,我们实验中的受试者只被要求向其他成员展示他们的脸,而没有进一步的交流。此外,我们采用了两种集体决策规则,即中位数规则和随机规则,这两种规则提供了讲真话的机制。在匿名投资和捐赠的实验中,我们发现,在控制了个人的风险和利他主义偏好后,在一个群体中做出决定的受试者提供的金额明显低于单独做出决定的人。研究结果表明,无论采用哪种集体决策规则,当人们在一个群体中时,他们都更厌恶风险,更自私。
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引用次数: 0
Motivated Memory in Economics - A Review 经济学中的动机记忆——综述
IF 0.9 Q4 ECONOMICS Pub Date : 2023-01-31 DOI: 10.3390/g14010015
Andrea Amelio, Florian Zimmermann
Motivated reasoning refers to the idea that people hold certain beliefs about themselves or the world due to their desire to do so, rather than striving for accuracy. This type of belief formation can lead to overconfidence and polarization, as well as facilitate immoral behavior at both the individual and collective levels. One of the supply-side mechanisms for motivated reasoning is motivated memory, or the selective retrieval of past experiences or information based on self-serving criteria. In this article, we review the still young economics literature on motivated memory. Summarizing both theoretical and empirical work, we highlight the key results this literature has produced. We also discuss open questions and potentially exciting avenues for future research in this area.
动机推理是指人们对自己或世界抱有某些信念,而不是追求准确性。这种类型的信仰形成会导致过度自信和两极分化,并助长个人和集体层面的不道德行为。动机推理的供应方机制之一是动机记忆,或基于自我服务标准对过去经历或信息的选择性检索。在这篇文章中,我们回顾了仍然年轻的关于动机记忆的经济学文献。总结理论和实证工作,我们强调了这篇文献所产生的关键结果。我们还讨论了这一领域未来研究的悬而未决的问题和潜在的令人兴奋的途径。
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引用次数: 0
Differential Game-Theoretic Models of Cournot Oligopoly with Consideration of the Green Effect 考虑绿色效应的古诺寡头垄断微分博弈模型
IF 0.9 Q4 ECONOMICS Pub Date : 2023-01-30 DOI: 10.3390/g14010014
G. Ougolnitsky, A. Usov
We built and investigated analytically and numerically a differential game model of Cournot oligopoly with consideration of pollution for the general case and the case of symmetrical agents. We conducted a comparative analysis of selfish agents’ behavior (a differential game in normal form), their hierarchical organization (differential Stackelberg games), and cooperation (optimal control problem) using individual and collective indices of relative efficiency. The same analysis wasperformed for the models with the green effect when players chose both output volumes and environmental protection efforts. We used the Pontryagin maximum principle for analytical investigation and the method of qualitatively representative scenarios in simulation modeling for numerical calculations. This method allows for reducing the number of computer simulations, providing sufficient precision. As a result of the comparative analysis, systems of collective and individual preferences were obtained.
在一般情况和对称主体情况下,我们建立了一个考虑污染的古诺寡头垄断微分博弈模型,并对其进行了分析和数值研究。我们使用相对效率的个体和集体指数对自私主体的行为(正态形式的微分对策)、他们的层次组织(微分Stackelberg对策)和合作(最优控制问题)进行了比较分析。当参与者同时选择产量和环境保护措施时,对具有绿色效应的模型进行了同样的分析。我们使用庞特里亚金最大值原理进行分析研究,并在数值计算的模拟建模中使用定性代表性场景的方法。这种方法可以减少计算机模拟的次数,提供足够的精度。通过比较分析,得出了集体偏好和个人偏好的体系。
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引用次数: 2
Information Design for Multiple Interdependent Defenders: Work Less, Pay Off More 多重相互依存防御者的信息设计:工作少,回报多
IF 0.9 Q4 ECONOMICS Pub Date : 2023-01-30 DOI: 10.3390/g14010012
Chenghan Zhou, Andrew Spivey, Haifeng Xu, T. Nguyen
This paper studies the problem of information design in a general security game setting in which multiple self-interested defenders attempt to provide protection simultaneously for the same set of important targets against an unknown attacker. A principal, who can be one of the defenders, has access to certain private information (i.e., attacker type), whereas other defenders do not. We investigate the question of how that principal, with additional private information, can influence the decisions of the defenders by partially and strategically revealing her information. In particular, we develop a polynomial time ellipsoid algorithm to compute an optimal private signaling scheme. Our key finding is that the separation oracle in the ellipsoid approach can be carefully reduced to bipartite matching. Furthermore, we introduce a compact representation of any ex ante persuasive signaling schemes by exploiting intrinsic security resource allocation structures, enabling us to compute an optimal scheme significantly faster. Our experiment results show that by strategically revealing private information, the principal can significantly enhance the protection effectiveness for the targets.
本文研究了一般安全博弈环境下的信息设计问题,其中多个自利益防御者试图同时为同一组重要目标提供针对未知攻击者的保护。作为防御者之一的主体可以访问某些私有信息(即攻击者类型),而其他防御者则不能。我们调查的问题是,拥有额外私人信息的委托人如何通过部分和战略性地透露她的信息来影响辩护人的决定。特别地,我们开发了一个多项式时间椭球算法来计算最优私有信令方案。我们的关键发现是椭球体方法中的分离oracle可以被仔细地简化为二部匹配。此外,我们通过利用内在安全资源分配结构引入任何事前说服信令方案的紧凑表示,使我们能够显着更快地计算出最优方案。实验结果表明,通过有策略地披露隐私信息,委托人可以显著提高对目标的保护效果。
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引用次数: 0
Robust Data Sampling in Machine Learning: A Game-Theoretic Framework for Training and Validation Data Selection 机器学习中的稳健数据采样:训练和验证数据选择的博弈论框架
IF 0.9 Q4 ECONOMICS Pub Date : 2023-01-30 DOI: 10.3390/g14010013
Zhaobin Mo, Xuan Di, Rongye Shi
How to sample training/validation data is an important question for machine learning models, especially when the dataset is heterogeneous and skewed. In this paper, we propose a data sampling method that robustly selects training/validation data. We formulate the training/validation data sampling process as a two-player game: a trainer aims to sample training data so as to minimize the test error, while a validator adversarially samples validation data that can increase the test error. Robust sampling is achieved at the game equilibrium. To accelerate the searching process, we adopt reinforcement learning aided Monte Carlo trees search (MCTS). We apply our method to a car-following modeling problem, a complicated scenario with heterogeneous and random human driving behavior. Real-world data, the Next Generation SIMulation (NGSIM), is used to validate this method, and experiment results demonstrate the sampling robustness and thereby the model out-of-sample performance.
如何对训练/验证数据进行采样是机器学习模型的一个重要问题,特别是当数据集是异构和倾斜的时候。在本文中,我们提出了一种稳健地选择训练/验证数据的数据采样方法。我们将训练/验证数据的采样过程描述为一个双人游戏:训练器的目标是对训练数据进行采样,以最小化测试误差,而验证器的目标是对验证数据进行逆向采样,从而增加测试误差。在博弈平衡点上实现了鲁棒抽样。为了加速搜索过程,我们采用了强化学习辅助蒙特卡罗树搜索(MCTS)。我们将我们的方法应用于汽车跟随建模问题,这是一个复杂的场景,具有异质和随机的人类驾驶行为。利用下一代仿真(NGSIM)的实际数据验证了该方法,实验结果证明了该方法的采样鲁棒性,从而证明了模型的样本外性能。
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引用次数: 1
Acknowledgment to the Reviewers of Games in 2022 感谢2022年的游戏评论家
IF 0.9 Q4 ECONOMICS Pub Date : 2023-01-21 DOI: 10.3390/g14010011
G. Office
High-quality academic publishing is built on a rigorous peer review process, and Games is no exception, upholding its high standards for published papers due to the outstanding efforts of our reviewers [...]
高质量的学术出版是建立在严格的同行评议过程之上的,《Games》也不例外,由于我们的评议人的杰出努力,我们坚持其高标准的发表论文。
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引用次数: 0
The Allocation of Greenhouse Gas Emission in European Union through Applying the Claims Problems Approach 基于索赔问题方法的欧盟温室气体排放分配
IF 0.9 Q4 ECONOMICS Pub Date : 2023-01-20 DOI: 10.3390/g14010009
Foroogh Salekpay
Due to the challenge of global warming, the European Union (EU) signed the Paris Agreement (2015) to diminish total Greenhouse Gas (GHG) emissions. This paper addresses the conflict that EU member states face when they want to follow the target of the Paris Agreement for the period 2021–2030 which is a 55% GHG emission reduction by 2030 (compared with GHG emission in 1990). EU member states have to emit at a level that is lower than their emission needs. To solve this problem, we implement the claims problems approach as a method for distributing insufficient resources among parties with greater demands. We use several well-known division rules to divide the emission budget among EU member states. We define a set of principles that should be satisfied by division rules to select the most optimal allocation method. To diminish the effect of countries’ preferences on the allocation we use equity and stability criteria to examine the fairness of the rules. Moreover, we allocate the emission budget in two ways: First, we apply division rules to allocate the total emission budget for 2021–2030 among countries. Second, we allocate the emission budget annually from 2021 to 2030. We propose that Constrained Equal Awards (CEA) is an appropriate division rule to meet the target of 2030.
由于全球变暖的挑战,欧盟签署了《巴黎协定》(2015年),以减少温室气体排放总量。本文阐述了欧盟成员国在2021-2030年期间想要实现《巴黎协定》的目标时所面临的冲突,即到2030年温室气体排放量减少55%(与1990年的温室气体排放相比)。欧盟成员国的排放水平必须低于其排放需求。为了解决这个问题,我们采用索赔问题方法,将不足的资源分配给需求更大的各方。我们使用几个众所周知的划分规则来划分欧盟成员国的排放预算。我们定义了一组划分规则应满足的原则,以选择最优化的分配方法。为了减少各国偏好对分配的影响,我们使用公平和稳定标准来检验规则的公平性。此外,我们通过两种方式分配排放预算:首先,我们应用划分规则在各国之间分配2021-2030年的总排放预算。第二,我们从2021年到2030年每年分配排放预算。我们建议,约束平等奖(CEA)是实现2030年目标的适当划分规则。
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引用次数: 1
HEXACO Personality Dimensions Do Not Predict Individual Differences in Adolescent Trust Behavior HEXACO人格维度不能预测青少年信任行为的个体差异
IF 0.9 Q4 ECONOMICS Pub Date : 2023-01-20 DOI: 10.3390/g14010010
H. Sijtsma, N. Lee, J. Buczny, M. Hollarek, R. Walsh, M. Buuren, L. Krabbendam
Adolescence is an important developmental period for both trust behavior and personality maturation, and individual differences in trust decisions may be related to different personality traits. In the current study, a group of adolescents (n = 483, Mage = 13.5, SDage = 0.4) played two counterbalanced conditions of a multi-round trust game. In one condition, the partner displayed trustworthy behavior (the trustworthy condition), while the partner in the other condition played untrustworthy behavior (the untrustworthy condition). Three types of trust behavior were examined: initial trust behavior, the adaptation of trust behavior (trustworthy condition), and the adaptation of trust behavior (untrustworthy condition). Personality was measured using the Brief HEXACO Inventory. We expected the HEXACO personality dimensions of honesty–humility and agreeableness to be positively associated with initial trust behavior, but conscientiousness to be negatively related to initial trust behavior. The examination of the relationship between these dimensions and the adaptation of trust behavior were conducted on an exploratory basis. The investigation of the relationship between the remaining dimensions (emotionality, extraversion, and openness to experience) and the three types of trust behavior were also carried out on an exploratory basis. For each type of trust behavior, a hierarchical multiple regression analysis was undertaken to examine whether the HEXACO personality dimensions were related to trust behavior. Using frequentist analyses, no evidence was found that supported the HEXACO dimensions as significant predictors of the three types of trust behavior. Moreover, additional Bayesian analyses showed evidence that the hypothesized HEXACO dimensions (honesty–humility, agreeableness, and conscientiousness) did not outperform the non-hypothesized HEXACO dimensions (emotionality, extraversion, and openness to experience). The association between personality traits and trust might be less pronounced during adolescence as personality maturates across an individual’s lifespan. Additionally, due to a heightened sensitivity to the environment, contextual cues may affect adolescent decision-making processes, leaving less room for personality-driven behaviors.
青春期是信任行为和人格成熟的重要发育期,个体在信任决策方面的差异可能与不同的人格特征有关。在目前的研究中,一组青少年(n=483,Mage=13.5,SDage=0.4)玩了两轮信任游戏的两种平衡条件。在一种情况下,伴侣表现出值得信赖的行为(值得信赖的条件),而在另一种条件下,伴侣则表现出不可信的行为(不可信的条件)。研究了三种类型的信任行为:初始信任行为、信任行为的适应(可信条件)和信任行为的适应性(不可信条件)。使用简明HEXACO量表测量个性。我们预计HEXACO人格维度的诚实——谦逊和宜人性与最初的信任行为呈正相关,但尽责性与初始的信任行为负相关。这些维度与信任行为适应之间的关系是在探索的基础上进行的。其余维度(情绪性、外向性和经验开放性)与三种类型的信任行为之间的关系也在探索性的基础上进行了调查。对于每种类型的信任行为,都进行了分层多元回归分析,以检验HEXACO人格维度是否与信任行为相关。使用频率学家分析,没有发现任何证据支持HEXACO维度作为三种类型信任行为的重要预测因素。此外,额外的贝叶斯分析显示,有证据表明,假设的HEXACO维度(诚实-谦逊、宜人性和尽责性)并不优于非假设的HEXACO维度(情绪性、外向性和对经验的开放性)。个性特征和信任之间的联系在青春期可能不那么明显,因为个性在个人一生中都会成熟。此外,由于对环境的敏感性增强,上下文线索可能会影响青少年的决策过程,从而减少个性驱动行为的空间。
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引用次数: 1
Default Matters in Trust and Reciprocity 信任与互惠中的违约问题
IF 0.9 Q4 ECONOMICS Pub Date : 2023-01-13 DOI: 10.3390/g14010008
Yao Zhang, Yushu Zhang, Yan Wu, F. Krueger
Trust and reciprocity promote cooperation and are key elements of a successful social life. This study investigated the framing effects on trust and reciprocity behaviors. Using an iterated one-shot within-subjects design, this study explored how trust and reciprocity decisions changed when the game was framed in terms of a give (i.e., using a standard trust game with a default of no trust) and a take (e.g., using a distrust game with a default of full trust) frame. Participants of both genders first completed the scenario version of the game (Session 1), and then played the roles of trustors (Session 2) and trustees (Session 3) with human and computer-mediated human partners either in the give or take frame. Our results showed increased trust in the give than in the take frame, but only pronounced in direct interaction with human (vs. indirect computer-mediated) partners. Participants also showed higher expectations of return in the give than in the take frame. The actual reciprocity was higher in the give than in the take frame when interacting both with human and computer-mediated human partners. The results contribute to our understanding of the factors that shape trust and reciprocity and emphasize the impact of framing the default.
信任和互惠促进合作,是成功的社会生活的关键要素。本研究考察了框架效应对信任和互惠行为的影响。本研究使用迭代的一次受试者内设计,探讨了当游戏按照给予(即使用默认不信任的标准信任游戏)和接受(例如使用默认完全信任的不信任游戏)框架构建时,信任和互惠决策是如何变化的。男女参与者首先完成游戏的场景版本(第1课时),然后在互让或接受的框架中与人类和计算机中介的人类伙伴一起扮演委托人(第2课时)和受托人(第3课时)。我们的研究结果表明,与接受框架相比,给予框架的信任度更高,但仅在与人类(与间接计算机介导的)伙伴的直接互动中表现得更为明显。参与者在给予框架中对回报的期望也高于在接受框架中。当与人类和计算机介导的人类伴侣互动时,在给予框架中的实际互惠性高于在接受框架中的互惠性。研究结果有助于我们理解影响信任和互惠的因素,并强调制定违约框架的影响。
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引用次数: 2
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