Retrieval of bindings between task-irrelevant stimuli and responses can facilitate behaviour under conditions of high response certainty

Repetition priming can be driven by the encoding and retrieval of stimulus–response (S–R) bindings. When a previously encoded S–R binding is retrieved, and is congruent with the response currently required, it can bias response-selection processes towards selecting the retrieved response, resulting in facilitation. Previous studies have used classification tasks at retrieval. Here, two (or more) response options are competing, and it is likely that any evidence (e.g., an S–R binding) in favour of one option will be utilized to effect a decision. Thus, S–R effects are likely to be seen when using such a task. It is unclear whether such effects can be seen under conditions of higher response certainty, when participants are explicitly cued to make a response. Across two experiments, evidence for a modulating influence of S–R bindings is seen despite using a response cueing method at retrieval to minimize response uncertainty and despite stimuli being task irrelevant. Finally, the results suggest that responses within these S–R bindings are coded at the level of left versus right hand, and not a more fine-grained within-hand thumb versus index finger. The results underline the resilience of S–R effects, suggesting that they are present even under conditions where no explicit object-oriented decision is required.     

PHONOLOGY IN THE LEXICAL PROCESSING OF CHINESE: PRIMING TONE NEIGHBOURS

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求偶动机对男性冒险行为倾向的影响

基于风险行为的性选择理论, 通过内隐启动的方法探讨了求偶线索与奖赏线索对两性风险行为报告的影响。研究结果显示, 男性接触求偶线索, 与接触奖赏线索相比, 更有可能进行娱乐领域、健康领域与社会领域的风险行为活动; 而女性接触奖赏线索后, 与求偶线索相比, 更有可能会从事社会领域的风险行为活动; 两性接触求偶线索与奖赏线索后都较少可能从事经济领域的风险行为活动。这些结果符合性选择理论, 说明与求偶有关的信息线索能够诱导男性进行高风险活动, 因为在进化过程中冒险行为可以作为好基因的标志增加男性获得配偶的机会。这些结果还揭示了, 求偶动机对男性冒险行为的诱发作用远胜于外部动机(如金钱奖赏), 因为求偶是人类在长期进化过程中形成的本能需求。     

Whose Evolution? Which Theology?

The importance of scientific conflicts for theology andphilosophy is difficult to judge. In many disputes of significance, prominent scientists can be found on both sides. Profound philosophical and religious implications are sometimes said to be implied by the new theory as well. This article examines the dispute over natural selection between Richard Dawkins and Stephen Jay Gould as a contemporary instance of such a conflict. While both claim that profound philosophical conclusions flow from their own alternativeaccount of evolution, I suggest that the implication is not as great as is claimed and that the alleged implications have as much to do with their own perceptions of theology as with the actual theories themselves. Nevertheless, evolutionary theory is not irrelevant for theology. Theologians should be aware of the possible implications of evolutionary theory and at the same time theextent and limits of such implications.     

An evaluation of multi‐criteria methods in integrated assessment of climate policy

Those who conduct integrated assessments (IAs) are aware of the need to explicitly consider multiple criteria and uncertainties when evaluating policies for preventing global warming. MCDM methods are potentially useful for understanding tradeoffs and evaluating risks associated with climate policy alternatives. A difficulty facing potential MCDM users is the wide range of different techniques that have been proposed, each with distinct advantages. Methods differ in terms of validity, ease of use, and appropriateness to the problem. Alternative methods also can yield strikingly different rankings of alternatives. A workshop was held in which climate change experts and policy makers evaluated the usefulness of MCDM for IA. Participants applied several methods in the context of a hypothetical greenhouse gas policy decision. Methods compared include value and utility functions, goal programming, ELECTRE, fuzzy sets, stochastic dominance, min max regret, and several weight selection methods. Ranges, rather than point estimates, were provided for some questions to incorporate imprecision regarding weights. Additionally, several visualization methods for both deterministic and uncertain cases were used and evaluated. Analysis of method results and participant feedback through questionnaires and discussion provide the basis for conclusions regarding the use of MCDM methods for climate change policy and IA analyses. Hypotheses are examined concerning predictive and convergent validity of methods, existence of splitting bias among experts, perceived ability of methods to aid decision‐making, and whether expressing imprecision can change ranking results. Because participants gained from viewing a problem from several perspectives and results from different methods often significantly differed, it appears worthwhile to apply several MCDM methods to increase user confidence and insight. The participants themselves recommended such multimethod approaches for policymaking. Yet they preferred the freedom of unaided decision‐making most of all, challenging the MCDM community to create transparent methods that permit maximum user control. Copyright © 2002 John Wiley & Sons, Ltd.     

句首词语音形义变化在判断句义中的作用

通过要求被试判断前后出现的两个句子意思是否一致,探讨句首词语音形义变化对句子阅读的影响,同时验证汉字音形义激活的时间进程。实验结果表明：（1）句首词语音形义变化对句子阅读的影响不一致,字形对句子阅读的影响最大,而字音和字义对句子阅读的影响大小不能得到分离。（2）句首词语首尾变化对句子阅读的影响不一致,词语尾字变化条件下的反应时比词语首字变化条件下的反应时更长。实验结果支持了句首词语字形对句子阅读影响最大、句首词语尾字变化比首字变化对句子阅读影响更大的观点。     

A caveat on the Savage–Dickey density ratio: The case of computing Bayes factors for regression parameters

The Savage–Dickey density ratio is a simple method for computing the Bayes factor for an equality constraint on one or more parameters of a statistical model. In regression analysis, this includes the important scenario of testing whether one or more of the covariates have an effect on the dependent variable. However, the Savage–Dickey ratio only provides the correct Bayes factor if the prior distribution of the nuisance parameters under the nested model is identical to the conditional prior under the full model given the equality constraint. This condition is violated for multiple regression models with a Jeffreys–Zellner–Siow prior, which is often used as a default prior in psychology. Besides linear regression models, the limitation of the Savage–Dickey ratio is especially relevant when analytical solutions for the Bayes factor are not available. This is the case for generalized linear models, non-linear models, or cognitive process models with regression extensions. As a remedy, the correct Bayes factor can be computed using a generalized version of the Savage–Dickey density ratio.     

Reaching Wuthering Heights with Brave New Words: The Influence of Originality of Words on the Success of Outstanding Best‐Sellers

The judgment and ultimately the success of creative products should be determined by their properties. However, it has not been considered so far whether the same applies to books. Earlier research has found an inverted‐U relationship between originality of stimuli and their success. Linguistic originality as a text feature could influence the success of books as creative products in a natural experiment. The present historiometric study investigated whether originality predicts the popularity in a significant sample, the most best‐selling English books from 200 years. Originality was calculated based on word frequency using a commercial service. Popularity was assessed with a composite measure including indicators like number of sold copies. Regression analysis indicated originality had a direct linear effect on popularity, partially moderated by the time of first publishing. That is, while originality was generally beneficial for the success of a best‐seller, the same originality was more appreciated at a later point in time. This is the first quantitative study supporting the long‐held assumption that the evaluation of creative narratives is influenced by temporal context. The fact that some works like The Great Gatsby got more appreciation when they were rediscovered may reflect a general principle rather than mere exceptions.     

On the current status of the evolutionary theory of behavior dynamics

The evolutionary theory of behavior dynamics is a complexity theory that instantiates the Darwinian principles of selection, reproduction, and mutation in a genetic algorithm. The algorithm is used to animate artificial organisms that behave continuously in time and can be placed in any experimental environment. The present paper is an update on the status of the theory. It includes a summary of the evidence supporting the theory, a list of the theory's untested predictions, and a discussion of how the algorithmic operations of the theory may correspond to material reality. Based on the evidence reviewed here, the evolutionary theory appears to be a strong candidate for a comprehensive theory of adaptive behavior.     

Out-of-bag Prediction Error: A Cross Validation Index for Generalized Structured Component Analysis

Cross validation is a useful way of comparing predictive generalizability of theoretically plausible a priori models in structural equation modeling (SEM). A number of overall or local cross validation indices have been proposed for existing factor-based and component-based approaches to SEM, including covariance structure analysis and partial least squares path modeling. However, there is no such cross validation index available for generalized structured component analysis (GSCA) which is another component-based approach. We thus propose a cross validation index for GSCA, called Out-of-bag Prediction Error (OPE), which estimates the expected prediction error of a model over replications of so-called in-bag and out-of-bag samples constructed through the implementation of the bootstrap method. The calculation of this index is well-suited to the estimation procedure of GSCA, which uses the bootstrap method to obtain the standard errors or confidence intervals of parameter estimates. We empirically evaluate the performance of the proposed index through the analyses of both simulated and real data.