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171.
Transitive performance (TP) is a learning-based behaviour exhibited by a wide range of species, where if a subject has been taught to prefer A when presented with the pair AB but to prefer B when presented with the pair BC, then the subject will also prefer A when presented with the novel pair AC. Most explanations of TP assume that subjects recognize and learn an underlying sequence from observing the training pairs. However, data from squirrel monkeys (Saimiri sciureus) and young children contradict this, showing that when three different items (a triad) are drawn from the sequence, subjects' performance degrades systematically (McGonigle and Chalmers, Nature 267:694-696, 1977; Chalmers and McGonigle, Journal of Experimental Child Psychology 37:355-377, 1984; Harris and McGonigle, The Quarterly Journal of Experimental Psychology 47B:319-348, 1994). We present here the two-tier model, the first learning model of TP which accounts for this systematic performance degradation. Our model assumes primate TP is based on a general-purpose task learning system rather than a special-purpose sequence-learning system. It supports the hypothesis of Heckers et al. (Hippocampus 14:153-162, 2004) that TP is an expression of two separate general learning elements: one for associating actions and contexts, another for prioritising associations when more than one context is present. The two-tier model also provides explanations for why phased training is important for helping subjects learn the initial training pairs and why some subjects fail to do so. It also supports the Harris and McGonigle (The Quarterly Journal of Experimental Psychology 47B:319-348, 1994) explanation of why, once the training pairs have been acquired, subjects perform transitive choice automatically on two-item diads, but not when exposed to triads from the same sequence.  相似文献   
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Paul Allen 《Zygon》2020,55(3):772-781
This article combines an appreciation of several themes in Josh Reeves's Against Methodology in Science and Religion: Recent Debates on Rationality and Theology while arguing in favor of critical realism. The author holds that critical realism manages to combine the objective truth reached through inference and especially cognitive acts of judgment as well as the various, contingent historical contexts that also define where science is practiced. Reeves advocates a historical perspective, but this article claims that in order for critical realism to be credible, a philosophical perspective must be maintained.  相似文献   
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Mohsen Feyzbakhsh 《Zygon》2020,55(4):996-1010
Will there be any joint future for science and Islam? Although such questions have recently received considerable attention, more basic questions are often ignored. This article aims at addressing some of those more basic questions through exploring the assumptions that underlie different possible understandings of the question about the future of Islam and science. By investigating the relation between conceptualizations of religion and the question about the future of Islam and science, it will be argued that different understandings of the concept of religion (i.e., whether it denotes real objects, whether it is universal, and whether it is belief centered) lead to extremely different readings of the question. Besides, it will be argued that different answers to the question about the future of Islam and science can be understood in terms of the inference to best theological explanation; thus, the criteria that one assumes for the best theological explanation result in different criteria for evaluation of the answers.  相似文献   
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Recent research has highlighted competitive worldviews as a key predictor of faking—the intentional distortion of answers by candidates in the selection context. According to theoretical assumptions, applicants’ abilities, and especially their cognitive abilities, should influence whether faking motivation, triggered by competitive worldviews, can be turned into successful faking behavior. Therefore, we examined the influence of competitive worldviews on faking in personality tests and investigated a possible moderation of this relationship by cognitive abilities in three independent high school and university student samples (N1 = 133, N2 = 137, N3 = 268). Our data showed neither an influence of the two variables nor of their interaction on faking behavior. We discuss possible reasons for these findings and give suggestions for further research.  相似文献   
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Human adults are adept at mitigating the influence of sensory uncertainty on task performance by integrating sensory cues with learned prior information, in a Bayes‐optimal fashion. Previous research has shown that young children and infants are sensitive to environmental regularities, and that the ability to learn and use such regularities is involved in the development of several cognitive abilities. However, it has also been reported that children younger than 8 do not combine simultaneously available sensory cues in a Bayes‐optimal fashion. Thus, it remains unclear whether, and by what age, children can combine sensory cues with learned regularities in an adult manner. Here, we examine the performance of 6‐ to 7‐year‐old children when tasked with localizing a ‘hidden’ target by combining uncertain sensory information with prior information learned over repeated exposure to the task. We demonstrate that 6‐ to 7‐year‐olds learn task‐relevant statistics at a rate on par with adults, and like adults, are capable of integrating learned regularities with sensory information in a statistically efficient manner. We also show that variables such as task complexity can influence young children's behavior to a greater extent than that of adults, leading their behavior to look sub‐optimal. Our findings have important implications for how we should interpret failures in young children's ability to carry out sophisticated computations. These ‘failures’ need not be attributed to deficits in the fundamental computational capacity available to children early in development, but rather to ancillary immaturities in general cognitive abilities that mask the operation of these computations in specific situations.  相似文献   
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Complex simulator-based models with non-standard sampling distributions require sophisticated design choices for reliable approximate parameter inference. We introduce a fast, end-to-end approach for approximate Bayesian computation (ABC) based on fully convolutional neural networks. The method enables users of ABC to derive simultaneously the posterior mean and variance of multidimensional posterior distributions directly from raw simulated data. Once trained on simulated data, the convolutional neural network is able to map real data samples of variable size to the first two posterior moments of the relevant parameter's distributions. Thus, in contrast to other machine learning approaches to ABC, our approach allows us to generate reusable models that can be applied by different researchers employing the same model. We verify the utility of our method on two common statistical models (i.e., a multivariate normal distribution and a multiple regression scenario), for which the posterior parameter distributions can be derived analytically. We then apply our method to recover the parameters of the leaky competing accumulator (LCA) model and we reference our results to the current state-of-the-art technique, which is the probability density estimation (PDA). Results show that our method exhibits a lower approximation error compared with other machine learning approaches to ABC. It also performs similarly to PDA in recovering the parameters of the LCA model.  相似文献   
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The aim of the present study was to test the relationship between different types of synaesthesia and their involvement in art, creative, and visual abilities. We tested 20 grapheme‐colour, 18 sound‐colour, 19 grapheme‐colour‐and‐sound‐colour, 20 sequence‐space synaesthetes, and the same number of controls matched by age, gender, and education. We assessed the number of artistic professions, involvement in art, and the performance in psychometric tests of divergent and convergent creativity, as well as visual and visuo‐spatial abilities. Results show a higher prevalence of artists among synaesthetes, especially sound‐colour synaesthetes. Sound‐colour synaesthetes also showed a higher involvement in artistic activities overall while sequence‐space synaesthetes showed higher involvement in visual art. Only grapheme‐colour‐and‐sound‐colour synaesthetes showed significantly higher divergent creativity compared to matched controls. Additionally, overall, synaesthetes scored higher in visuo‐spatial abilities (i.e., mental rotation). For synaesthetes and controls, visuo‐spatial abilities correlated with divergent creativity. We discuss that synaesthetes’ higher involvement in art is not necessarily reflected in their basic creative abilities.  相似文献   
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