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Ransom, Fazelpour, and Mole (this journal - 2017) raise an important puzzle for the ‘prediction error minimization’ account of cognitive processing. That account depicts all cognitive processing as fundamentally in the business of minimizing prediction errors concerning the evolving flow of sensory information. One of the cornerstones of these highly ambitious, would-be unifying accounts is their depiction of attention as nothing other than the process of optimizing the precision (inverse variance) of critical prediction error signals. But that story, Ransom et al. suggest, cannot accommodate voluntary shifts of attention. In this paper, I show why this challenge to the grand unifying project fails. It fails because it locates the origins of voluntary attention in complexes of unanalyzed desire rather than in changing complexes of beliefs.  相似文献   
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Whereas substantial research portrays gossip as a detrimental behavior, other work observes that gossip performs essential social functions, such as distributing valuable information. Collectively, the literature indicates that gossip has the potential to harm and benefit the relationship between the gossip sender and receiver. Our study brings consensus to this conversation by drawing a distinction between how much gossiping occurs—gossiping extent—and characteristics of that gossip—gossip truthfulness and gossip interestingness. Drawing on social exchange theory and cognitive-motivational-relational theory, we build a within-person theoretical model that proposes gossip truthfulness will strengthen the receiver's perception of the social exchange relationship, whereas gossip interestingness will increase the receiver's state happiness. Ultimately, these proximal reactions will increase the receiver's helping behavior toward the sender. We tested our model with a 15-day experience sampling study (Study 1) and an experiment (Study 2). Results showed that gossip truthfulness had a positive effect on the receiver's perception of the social exchange relationship, leading the receiver to provide more helping behavior to the sender. Gossip interestingness had a positive effect on the receiver's state happiness, leading to increased helping behavior toward the sender. Gossip interestingness also had a serial indirect effect on helping behavior, via increased state happiness that increased receiver social exchange perceptions. In contrast, gossiping extent had a negative indirect effect on helping behavior via decreased receiver happiness, as well as a negative serial indirect effect via decreased receiver happiness and social exchange perceptions. Our model provides employees with insights into how gossip impacts the sender–receiver relationship.  相似文献   
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Personality traits are strongly related to affect, but the mechanisms accounting for this association remain mostly unclear. We test a new theoretical model that proposes that personality states, situation characteristics, and affective states mediate the relation between personality traits and trait affect. Data from an experience sampling study (N = 206; 4381 observations) indicate that personality traits are associated with personality states and experienced situation characteristics, personality states and experienced situation characteristics are associated with state affect, state affect is associated with trait affect, and that these variables indeed mediate the relation between personality traits and trait affect. These results emphasize the importance of daily experiences for trait-level variables and call for further research on the interplay between personality, behavior, situations, and affect.  相似文献   
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Non-goal-directed actions have been relatively neglected in cognitive science, but are ubiquitous and related to important cognitive functions. Fidgeting is seemingly one subtype of non-goal-directed action which is ripe for a functional account. What's the point of fidgeting? The predictive processing framework is a parsimonious account of brain function which says the brain aims to minimise the difference between expected and actual states of the world and itself, that is, minimise prediction error. This framework situates action selection in terms of active inference for expected states. However, seemingly aimless, idle actions, such as fidgeting, are a challenge to such theories. When our actions are not obviously goal-achieving, how can a predictive processing framework explain why we regularly do them anyway? Here, we argue that in a predictive processing framework, evidence for the agent's own existence is consolidated by self-stimulation or fidgeting. Endogenous, repetitive actions reduce uncertainty about the system's own states, and thus help continuously maintain expected rates of prediction error minimisation. We extend this explanation to clinically distinctive self-stimulation, such as in Autism Spectrum Conditions, in which effective strategies for self-evidencing may be different to the neurotypical case.  相似文献   
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In this paper, we demonstrate how an integrative approach to personality—one that combines within-person and between-person differences—can be achieved by drawing on the principles of dynamic systems theory. The dynamic systems perspective has the potential to reconcile both the stable and dynamic aspect of personality, it allows including different levels of analysis (i.e. traits and states), and it can account for regulatory mechanisms, as well as dynamic interactions between the elements of the system, and changes over time. While all of these features are obviously appealing, implementing a dynamic systems approach to personality is challenging. It requires new conceptual models, specific longitudinal research designs, and complex data analytical methods. In response to these issues, the first part of our paper discusses the Personality Dynamics model, a model that integrates the dynamic systems principles in a relatively straightforward way. Second, we review associated methodological and statistical tools that allow empirically testing the PersDyn model. Finally, the model and associated methodological and statistical tools are illustrated using an experience sampling methodology data set measuring Big Five personality states in 59 participants (N = 1916 repeated measurements). © 2020 The Authors. European Journal of Personality published by John Wiley & Sons Ltd on behalf of European Association of Personality Psychology  相似文献   
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The human brain has a tendency to drift into the realm of internally-generated thoughts that are unbound by space and time. The term mind-wandering (MW) is often used describe such thoughts when they are perceptually decoupled. Evidence suggests that exposure to forward and backward illusory motion skews the temporal orientation of MW thoughts to either the future or past respectively. However, little is known about the impact of this manipulation on other features of MW. Here, using a novel experimental paradigm, we first confirmed that our illusory motion method facilitated the generation of MW thoughts congruent with the direction of motion. We then conducted content analyses which revealed that goal orientation and temporal distance were also significantly affected by the direction of illusory motion. We conclude that illusory motion may be an effective means of assaying MW and could help to elucidate this ubiquitous, and likely critical, component of cognition.  相似文献   
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The equality of two group variances is frequently tested in experiments. However, criticisms of null hypothesis statistical testing on means have recently arisen and there is interest in other types of statistical tests of hypotheses, such as superiority/non-inferiority and equivalence. Although these tests have become more common in psychology and social sciences, the corresponding sample size estimation for these tests is rarely discussed, especially when the sampling unit costs are unequal or group sizes are unequal for two groups. Thus, for finding optimal sample size, the present study derived an initial allocation by approximating the percentiles of an F distribution with the percentiles of the standard normal distribution and used the exhaustion algorithm to select the best combination of group sizes, thereby ensuring the resulting power reaches the designated level and is maximal with a minimal total cost. In this manner, optimization of sample size planning is achieved. The proposed sample size determination has a wide range of applications and is efficient in terms of Type I errors and statistical power in simulations. Finally, an illustrative example from a report by the Health Survey for England, 1995–1997, is presented using hypertension data. For ease of application, four R Shiny apps are provided and benchmarks for setting equivalence margins are suggested.  相似文献   
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