Conflicted Minds: Recalibrational Emotions Following Trust-based Interaction.

Consistent with a modular view of the mind, both short-sighted and long-sighted programs may be simultaneously active in the mind and in conflict with one another when individuals face choice dilemmas in trust-based economic interactions. Recalibrational theory helps us identify the adaptive design features shared among subsets of superordinate emotion programs. According to this design logic and the computation of adaptive problem features produced by Trust games, we predict the activation of emotions after Trust games. While this study successfully predicts reports of twenty distinct emotional states, further studies are needed to demonstrate ultimate recalibrational functions of emotions.emotions, recalibrational theory, modularity, Trust game, experiments

Restoring Damaged Trust with Promises, Atonement and Apology.

In an experiment using two consecutive trust games, we study how “cheap” signals such as promises and messages are used to restore damaged trust and encourage new trust where it did not previously exist. In these games, trustees made non-binding promises of investment-contingent returns, then investors decided whether to invest, and finally trustees decided how much to return. After an unexpected second game was announced, but before it commenced, trustees could send a one-way message. This naturalistic quasi-experimental design allowed us to observe the endogenous emergence of trust-relevant behaviors and focus on naturally occurring remedial strategies used by promise-breakers and distrusted trustees, their effects on investors, and subsequent outcomes. In the first game 16.6% of trustees were distrusted and 18.8% of trusted trustees broke promises. Trustees distrusted in the first game used promises closer to equal splits and messaging to encourage trust in the second game. To restore damaged trust, promise-breakers used larger new promises (signals of intended atonement) and messaging (usually with apology). On average, investments in each game paid off for investors and trustees, suggesting that cheap signals foster profitable trust-based exchanges in these economic games.promise, atonement, apology, cheap talk, cheap signals, remedial strategies, trust game, reciprocity, experiments

Predictable and Predictive Emotions: Explaining Cheap Signals and Trust Re-Extension

Despite normative predictions from economics and biology, unrelated strangers can often develop the trust necessary to reap gains from one-shot economic exchange opportunities. This appears to be especially true when declared intentions and emotions can be cheaply communicated. Perhaps even more puzzling to economists and biologists is the observation that anonymous and unrelated individuals, known to have breached trust, often make effective use of cheap signals, such as promises and apologies, to encourage trust re-extension. We used a pair of trust games with one-way communication and emotion surveys to investigate the role of emotions in regulating the propensity to message, apologize, re-extend trust, and demonstrate trustworthiness. This design allowed us to observe the endogenous emergence and natural distribution of trust-relevant behaviors, remedial strategies used by promise-breakers, their effects on behavior, and subsequent outcomes. We found that emotions triggered by interaction outcomes are predictable and also predict subsequent apology and trust re-extension. The role of emotions in behavioral regulation helps explain why messages are produced, when they can be trusted, and when trust will be re-extended

Trust, Reciprocity and Rules

In the absence of enforceable contracts, many economic and personal interactions rely on trust and reciprocity. Research shows that although this reliance often works well, sometimes it breaks down. Simple rules mandating minimum standards on reciprocation prevent the most egregious trust violations, but may also undermine behavior that would have otherwise produced higher overall economic welfare. We test the efficacy of exogenously imposed minimum return rules using experimental trust games. We find that rules fail to increase trust and trustworthiness. Thus low minimum standards significantly decrease economic welfare. Although sufficiently restrictive rules restore welfare, trust and trustworthy behavior never returns.trust games, experiments, reputation, information, reciprocity

Conflicted Emotions Following Trust-Based Interaction

We observed reports of conflicted (concurrent positive and negative) emotions activated after interactions in the Trust game. Our analyses reveal that activation of 20 emotional states following trust-based interaction is better explained by predictions derived from a multi-dimensional Recalibrational perspective than by predictions derived from two-dimensional Valence and Arousal perspectives. The Recalibrational perspective proposes that emotions are activated according to their functional features – for example, emotions help people achieve short or long-sighted goals by up or down-regulating behavioral propensities, whereas Valence and Arousal perspectives consider simpler hedonic dimensions lacking functional specificity. The Recalibrational perspective is also distinguished from the Valence and Arousal perspectives in that it predicts the possibility of conflicted emotions. We discuss the theoretical implications of having conflicted goals and the economic implications of having conflicted emotions

Domestication alone does not lead to inequality: intergenerational wealth transmission among horticulturalists

We present empirical measures of wealth inequality and its intergenerational transmission among four horticulturalist populations. Wealth is construed broadly as embodied somatic and neural capital, including body size, fertility and cultural knowledge, material capital such as land and household wealth, and relational capital in the form of coalitional support and field labor. Wealth inequality is moderate for most forms of wealth, and intergenerational wealth transmission is low for material resources and moderate for embodied and relational wealth. Our analysis suggests that domestication alone does not transform social structure; rather, the presence of scarce, defensible resources may be required before inequality and wealth transmission patterns resemble the familiar pattern in more complex societies. Land ownership based on usufruct and low‐intensity cultivation, especially in the context of other economic activities such as hunting and fishing, is associated with more egalitarian wealth distributions as found among hunter‐gatherers

Probabilistic Reconstruction in Compressed Sensing: Algorithms, Phase Diagrams, and Threshold Achieving Matrices

Compressed sensing is a signal processing method that acquires data directly in a compressed form. This allows one to make less measurements than what was considered necessary to record a signal, enabling faster or more precise measurement protocols in a wide range of applications. Using an interdisciplinary approach, we have recently proposed in [arXiv:1109.4424] a strategy that allows compressed sensing to be performed at acquisition rates approaching to the theoretical optimal limits. In this paper, we give a more thorough presentation of our approach, and introduce many new results. We present the probabilistic approach to reconstruction and discuss its optimality and robustness. We detail the derivation of the message passing algorithm for reconstruction and expectation max- imization learning of signal-model parameters. We further develop the asymptotic analysis of the corresponding phase diagrams with and without measurement noise, for different distribution of signals, and discuss the best possible reconstruction performances regardless of the algorithm. We also present new efficient seeding matrices, test them on synthetic data and analyze their performance asymptotically.Comment: 42 pages, 37 figures, 3 appendixe

Conflicted Emotions Following Trust-based Interaction

We investigated whether 20 emotional states, reported by 170 participants after participating in a Trust game, were experienced in a patterned way predicted by the “Recalibrational Model” or Valence Models. According to the Recalibrational Model, new information about trust-based interaction outcomes triggers specific sets of emotions. Unlike Valence Models that predict reports of large sets of either positive or negative emotional states, the Recalibrational Model predicts the possibility of conflicted (concurrent positive and negative) emotional states. Consistent with the Recalibrational Model, we observed reports of conflicted emotional states activated after interactions where trust was demonstrated but trustworthiness was not. We discuss the implications of having conflicted goals and conflicted emotional states for both scientific and well-being pursuits

Factor graph based detection approach for high-mobility OFDM systems with large FFT modes

In this article, a novel detector design is proposed for orthogonal frequency division multiplexing (OFDM) systems over frequency selective and time varying channels. Namely, we focus on systems with large OFDM symbol lengths where design and complexity constraints have to be taken into account and many of the existing ICI reduction techniques can not be applied. We propose a factor graph (FG) based approach for maximum a posteriori (MAP) symbol detection which exploits the frequency diversity introduced by the ICI in the OFDM symbol. The proposed algorithm provides high diversity orders allowing to outperform the free-ICI performance in high-mobility scenarios with an inherent parallel structure suitable for large OFDM block sizes. The performance of the mentioned near-optimal detection strategy is analyzed over a general bit-interleaved coded modulation (BICM) system applying low-density parity-check (LDPC) codes. The inclusion of pilot symbols is also considered in order to analyze how they assist the detection process