Cognitive Science最新文献

The body-specificity hypothesis proposes that people with different bodies should also have different conceptual systems. The test case of this hypothesis has been the association of emotional valence (good vs. bad) with lateral space (left vs. right) in people of different handedness. As expected, right-handers tend to associate the good with the right space, whereas left-handers show the opposite association. This body-specific effect has been very influential and followed up by an important number of studies. Here, we undertake a systematic examination of the quality of this literature by means of z-curve analysis. The results show that the expected replicability rate (statistical power) of this literature is reasonably high (71−76%), especially for those studies using binomial tasks and those that entail the severest tests for the hypothesis, whereas it is lower in reaction time studies. Moreover, the presence of publication bias cannot be statistically asserted. All in all, the literature on space-valence body-specificity appears solid, although there is still room for improvement.

Cognitive science has matured into an established discipline, and its development has advanced our understanding of the human brain and cognitive processes. Despite these advancements and popularity, the limited established norms in the field have been in favor of cognitive universals, which is the idea that cognitive processes are consistent and shared across all humans irrespective of their sociocultural or environmental variations. This has limited the chances of improving and understanding variations in cognitive development, particularly among individuals from the majority of the world's population, and may have increased oversight into the unique characteristics of cognitive adaptations shaped by sociocultural and environmental factors. The objective of this paper is to draw insights from a 2-day workshop organized on broadening cognitive science in Nigeria. Inspired by the discussions from the workshop, we identified critical challenges and opportunities at the researcher, participant, and process levels, offering practical strategies for advancing cognitive science in underrepresented regions. We discussed the challenges facing cognitive science research and strategies to solve these challenges in Nigeria, particularly focusing on emerging themes from our workshop. We then discussed pathways for future directions and concluded with final thoughts.

Over the past two decades, hundreds of articles have investigated the mechanisms underlying the phenomenon that masked stimuli reduce people's response performance to subsequent compatible stimuli, for example, the negative compatibility effect (NCE). Whether the NCE results from motor inhibition, object updating, or both is still being debated. We used the digital masked prime task for 3 consecutive days to strengthen stimulus-response associations in relevant and irrelevant contexts (whether the mask consisted of task-relevant features or not) and employed response time distribution analysis to investigate the contributions of motor inhibition and object updating to the NCE. The results showed that the NCE appeared in the irrelevant condition on days 2 and 3, and it increased with response latency on day 3. In contrast, in the relevant condition, the NCE occurred regardless of test day or response latency, and was unaffected by either. These different patterns of results indicated that the cause of the NCE was different in the relevant and irrelevant conditions. In the relevant condition, the results suggested that the NCE was solely due to object updating, whereas in the irrelevant condition, the results indicated that the NCE was solely due to motor inhibition. This study reconciled the previous debate and revealed the mechanisms by which unconscious information influences behavioral performance in different contexts.

For many types of behaviors, whether a specific instance of that behavior is blame- or praiseworthy depends on how much of the behavior is done or how people go about doing it. For instance, for a behavior such as “replying to an email in x days,” whether a specific reply is perceived as blameworthy or praiseworthy will depend on how many days have elapsed before the reply. Such behaviors lie on a continuum in which part of the continuum is praiseworthy (replying quickly) and another part of the continuum is blameworthy (replying late). In the current paper, we investigate how judgments of blame and praise on such behaviors relate to people's perceptions of the statistical norms surrounding that behavior (i.e., how quickly people usually reply). We find that people do not base judgments of blame and praise on a comparison to the statistically average quantity. Instead, judgments of blame and praise are related to whether the behavior is perceived as frequent or infrequent. Notably, frequency showed an asymmetric relationship with moral judgments: higher frequency was strongly associated with reduced blame but showed a much weaker association with reduced praise.

Sentence length reflects cognitive constraints and stylistic decisions about speech and text segmentation for effective communication, but whether sentence length distributions follow universal patterns across languages and genres remains unclear. This study investigates whether sentence lengths and sub-sentence lengths—defined as the number of words between sentence-ending punctuation marks and between adjacent punctuation marks—follow a unified probabilistic distribution across languages, whether this reflects linguistic genealogy, and whether the distribution is affected by genre. Given the links between sentence length, cognitive constraints, and stylistic decisions, we predicted that sentence and sub-sentence lengths would follow a unified probabilistic distribution across languages, modulated by linguistic genealogy and genre. Analyzing news texts in 10 languages, we found that sentence and sub-sentence length distributions both conform to a probabilistic model, the Extended Positive Negative Binomial distribution, which was previously shown to capture sentence length distributions in certain languages. To assess whether these differences align with linguistic typology, we performed cluster analysis based on mean length and distribution parameters, with results mirroring known linguistic genealogical relationships. To examine the genre effects, we analyzed sentence and sub-sentence length distributions across three written genres in English and Chinese. Generalized linear models revealed systematic influences of both genre and language, but with varying results on different linguistic levels: genre accounted for more variance in sentence-level metrics, whereas language exerted stronger effects at the sub-sentence level. Sentence and sub-sentence length distributions reflect a universal probabilistic pattern in punctuation-based sentence segmentation, influenced by cognitive constraints and genre-driven adaptability across languages.

What is the nature of semantic memory? Philosophers and cognitive scientists have long held that semantic memory stores invariant knowledge structures to be retrieved as such. In this paper, I argue that this conception of semantic memory is likely false. In particular, I argue that if episodic and semantic memory share causal mechanisms, and episodic memory is (re)constructive, then semantic memory is likely constructive too. I review evidence that suggests that episodic and semantic memory are subserved by a domain-general system that supports representing and navigating relations among various kinds of stimuli, including space, time, events, and semantic relations. I then review the supposed hallmark properties of constructivism in episodic memory and show that they appear in semantic memory as well. To increase the inductive support for my proposal, I show how the view predicts some of the evidence others have marshaled in favor of a constructivist semantic memory system. Finally, I close by providing a proof of concept for the view on offer, the semantic pointer architecture.

Complex sequences are ubiquitous in human mental life, structuring representations within many different cognitive domains—natural language, music, mathematics, and logic, to name a few. However, the representational and computational machinery used to learn abstract grammars and process complex sequences is unknown. Here, we used an artificial grammar learning task to study how adults abstract center-embedded and cross-serial grammars that generalize beyond the level of embedding of the training sequences. We tested untrained generalizations to longer sequence lengths and used error patterns, item-to-item response times, and a Bayesian mixture model to test two possible memory architectures that might underlie the sequence representations of each grammar: stacks and queues. We find that adults learned both grammars, that the cross-serial grammar was easier to learn and produce than the matched center-embedded grammar, and that item-to-item touch times during sequence generation differed systematically between the two types of sequences. Contrary to widely held assumptions, we find no evidence that a stack architecture is used to generate center-embedded sequences in an indexed AⁿBⁿ artificial grammar. Instead, the data and modeling converged on the conclusion that both center-embedded and cross-serial sequences are generated using a queue memory architecture. In this study, participants stored items in a first-in-first-out memory architecture and then accessed them via an iterative search over the stored list to generate the matched base pairs of center-embedded or cross-serial sequences.

Recursive hierarchical embedding allows humans to generate multiple hierarchical levels using simple rules. We can acquire recursion from exposure to linguistic and visual examples, but only develop the ability to understand “multiple-level” structures like “[[second] red] ball]” after mastering “same-level” conjunctions like “[second] and [red] ball.” Whether we can also learn recursion in motor production remains unexplored. Here, we tested 40 adults’ ability to learn and generate sequences of finger movements using “multiple-level” recursion and “same-level” iteration rules (like linguistic conjunction). Rule order was counterbalanced. First, they learned the generative rules (without explicit rule instructions or feedback) by executing examples of motor sequences based on visual cues displayed on the screen (learning). Second, participants were asked to discriminate between correct and incorrect motor sequences beyond those to which they were previously exposed (discrimination). Finally, they were asked to use the rules to generate new hierarchical levels consistent with the previously given (generation). We repeated the procedure (all three phases) on 2 days, allowing for a night of sleep. We found that most participants could discriminate correct/incorrect sequences based on recursive rules and use recursive rules to generate new hierarchical levels in motor sequences, but mostly on the second day of testing, and when they had acquired iterative before recursive rules. This aligns with previous literature on vision and language and with literature showing that sleep is necessary to generate abstract knowledge of motor sequences. Lastly, we found that the ability to discriminate well-formed motor sequences using recursion was insufficient for motor generativity.

It has been argued in previous research that several competing pressures guide the directions of language evolution (economy vs. redundancy; arbitrariness vs. systematicity). For sign languages, however, the effects of competing pressures on their change of lexical systems remain largely unclear. In the present study, we focus on the diachronic change in form and formational-semantic systematicity of the Chinese Sign Language (CSL) lexicon. Drawing on two CSL lexicons (one from the 1960 dictionary and the other from the 2019 dictionary), we found that in the dimension of form, the CSL lexical system shows a trend toward monosyllabicity and symmetry. In terms of formational-semantic systematicity, we found that there is a significant correlation between form and meaning in both lexicons, but the effect of the arbitrariness constraint gets stronger over time. Our findings regarding the change in form indicate that the competing pressures between economy and redundancy have different effects on different parameters when shaping the lexical system of CSL. As for the correlation between form and meaning, our study provides insight as to how a balance between arbitrariness and systematicity is reached.

While much work has emphasized the role of the environment in language learning, research equally reports consistent effects of the child's knowledge, in particular, the words known to individual children, in steering further lexical development. Much of this work is based on cross-sectional data, assuming that the words typically known to children at n months predict the words typically known to children at n+x months. Given acknowledged variability in the number of words known to individual children at different ages, a more conclusive analysis of this issue requires examination of individual differences in the words learned by individual children across development, that is, using longitudinal data. In the current study, using longitudinal vocabulary data from children learning Norwegian, we ask whether the phonological connectivity of a word to words that the child already knows or words in the child's environment predicts the likelihood of the child learning that word across development. The results suggest that the early vocabulary grows predominantly in a rich-get-richer manner, where word learning is predicted by the connectivity of a word to already known words. However, word learning is, to a lesser extent, also influenced by the connectivity of a word to words in the child's linguistic environment. Our results highlight the promise of using longitudinal data to better understand the factors that influence vocabulary development.