Cognitive Sciences

The basic question of this article is: “What is understanding?” The objective is to initiate a process and a state of self-reflexivity which might best be defined as an understanding of understanding. In this self-referential philosophical setting, it cannot be our aim to attempt to produce any (alleged) final answers, because cognitive self-referentiality, taken as a source principle of mind, is without beginning and end. However, it is feasible to explore possibilities of a continuously increasing convergence and insight regarding the (...) objective. In addition, the basic question of an understanding of understanding is taken into consideration from a transcultural angle here. Direct samples of ancient Greek, later German as well as pre-modern Chinese philosophies are included in one systematic context here. The topic is developed in four basic steps. At first, a semantic and philosophical analysis of the English word “understanding” is developed in perspective of philo- sophical-anthropological thoughts by J. G. Herder, Aristotle, and the anthropo-cosmic foundations of the ancient Confucian classic Liji . In a second step, the meaning of “understanding” is analysed in the extended sense of a philosophical metaphor. Selective references are made to Kongzi , Martin Heidegger, Plato, and Zhuangzi . In a third step, the discussion of the semantics of the German philosophical terms “Verstehen” and “Verstand” is explored on the basis of the preceding reflections. In the fourth segment of this contribution, further references are made to the Daodejing and to a model of the structure of consciousness and understanding in the context of Wang Yangming’s philosophy. From various angles of different times and places, the problem of an understanding of understanding points to the most basic layers of human existence, personal experience, human cultures, and civilisations. (shrink)

The common view of the transition between subitizing and numerosity estimation regimes is that there is a hard bound on the subitizing range, and beyond this range, people estimate. However, this view does not adequately address the behavioral signatures of enumeration under conditions of attentional load or in the immediate post-subitizing range. The possibility that there might exist a numerosity range where both processes of subitizing and estimation operate in conjunction has so far been ignored. Here, we investigate this new (...) proposal, that people strategically combine the processes of subitizing and estimation to maximize accuracy and precision, given time or attentional constraints. We present a process-level account of how subitizing and estimation can be combined through strategic deployment of attention to maximize the precision of perceived numerosity given time constraints. We then describe a computational model of this account and apply it in two experimental simulations to demonstrate how it can explain key findings in prior enumeration research. While recent modeling work has argued that the behavioral signatures of enumeration can best be explained through a single numerosity system with a single form of representation, we argue that our model demonstrates how the traditional two-systems view of numerical representation accounts for behavioral data through coordination with a unified attentional mechanism, rather than a unified representation. (shrink)

Through a qualitative approach, this study identified a specific subgroup of intellectual virtues necessary for developing interdisciplinary research. Cognitive science was initially conceived as a new discipline emerging from various fields, including philosophy, psychology, artificial intelligence, linguistics, and anthropology. Thus, a frequent debate among cognitive scientists is whether the initial multidisciplinary program successfully developed into a mature interdisciplinary field or evolved into a set of independent sciences of cognition. For several years, interdisciplinarity has been an aspiration for the academy, although (...) the difficulties limiting the success of interdisciplinary collaborations have begun to erode that initial optimism. Our analysis suggests that the problems hindering the success of interdisciplinarity can be overcome by fostering certain intellectual character strengths in scholars. The Consensual Qualitative Research method was used to analyze nine semi-structured interviews involving researchers with a long personal trajectory of interdisciplinary research between the sciences and the humanities. Three virtue domains emerged from the interviews’ analysis: (i) intellectual virtues, (ii) social virtues, and (iii) interpersonal intellectual virtues. The virtues of the third domain intersect with intellectual and social ones. They are intellectual because they pursue epistemic goods. But, unlike other intellectual virtues, they only develop in interpersonal settings, so they can also be considered to have a social component. Interpersonal intellectual virtues can be thus defined as intellectual character traits that facilitate the acquisition of knowledge (intellectual motivation) with and through other people in a reciprocal way (social environment). These virtues are essential for developing any successful collective epistemic enterprise, interdisciplinary research being a privileged context where these qualities manifest themselves in a relevant way. (shrink)

The emotions of regret and relief arise when we judge that an alternative choice in the past would have led to a more or less appealing version of the present, respectively, than the actual present...

Despite their popularity and positive influences (e.g. enhancing social relationships; Kross et al., 2013), online platforms sometimes expose people to distressing content (e.g. McHugh et al., 2018...

Reflecting on unpleasant events can be adaptive, or it can spiral into rumination and exacerbate distress. Adopting a detached perspective – a strategy known as distancing – can help prevent the do...

1. Cleansing behaviours such as hands washing, face washing, teeth brushing, and so on, are essential in daily life. The primary purpose of cleansing is to remove dirt and keep the body clean. Inte...

The human face plays a central role in our social interactions by revealing many social cues, such as age, gender, or emotional expression, that observers can usually identify at first glance. Howe...

Imagine being faced with threatening moving stimuli, such as a spider crawling closer or a stranger approaching with visible anger. How would you react emotionally? And would these threats, from an...

May interprets the prevalence of non-emotional moral intuitions as indicating support for rationalism. However, research in developmental psychology indicates that the mechanisms underlying these intuitions are not always rational in nature. Specifically, automatic intuitions can emerge passively, through processes such as evolutionary preparedness and enculturation. Although these intuitions are not always emotional, they are not clearly indicative of reason.

We offer a friendly criticism of May's fantastic book on moral reasoning: It is overly charitable to the argument that moral disagreement undermines moral knowledge. To highlight the role that reasoning quality plays in moral judgments, we review literature that he did not mention showing that individual differences in intelligence and cognitive reflection explain much of moral disagreement. The burden is on skeptics of moral knowledge to show that moral disagreement arises from non-rational origins.

May expresses optimism about the source, content, and consequences of moral judgments. However, even if we are optimistic about their source (i.e., reasoning), some pessimism is warranted about their content, and therefore their consequences. Good reasoners can attain moral knowledge, but evidence suggests that most people are not good reasoners, which implies that most people do not attain moral knowledge.

1. How can we determine whether a behaviour is morally right or wrong? This question involves moral judgement (Greene & Haidt, 2002; Johnson et al., 2022; Levine et al., 2020), which is the process...

Social learning is a primary driver of preference development. Individuals can form their attitudes toward a target by learning how others (“models”) interact with that target. For instance, partic...

Individuals with higher fluid cognitive ability (e.g. general fluid intelligence, executive control) tend to achieve superior health and well-being outcomes (Batty & Deary, 2004; Gottfredson & Dear...

Many events that humans and other species experience contain regularities in which certain elements within an event predict certain others. While some of these regularities involve tracking the co‐occurrences between temporally adjacent stimuli, others involve tracking the co‐occurrences between temporally distant stimuli (i.e., nonadjacent dependencies, NADs). Prior research shows robust learning of adjacent dependencies in humans and other species, whereas learning NADs is more difficult, and often requires support from properties of the stimulus to help learners notice the NADs. Here, (...) we report on seven experiments that examined NAD learning from various types of visual stimuli, exploring the effects of dynamic motion on adults' NAD learning from visual sequences involving human and nonhuman agents. We tested adults' NAD learning from visual sequences of human actions, object transformations, static images of human postures, and static images of an object in different postures. We found that dynamic motion aids the acquisition of NADs. We also found that learning NADs in sequences involving human agents is more robust compared to sequences involving nonhuman objects. We propose that dynamic motion and human agents both independently result in richer representations that provide a stronger signal for NAD learning. (shrink)

Research suggests that moral evaluations change during adulthood. Older adults (75+) tend to judge accidentally harmful acts more severely than younger adults do, and this age‐related difference is in part due to the greater negligence older adults attribute to the accidental harmdoers. Across two studies (N = 254), we find support for this claim and report the novel discovery that older adults’ increased attribution of negligence, in turn, is associated with a higher perceived likelihood that the accident would occur. We (...) propose that, because older adults perceive accidents as more likely than younger adults do, they condemn the agents and their actions more and even infer that the agents’ omission to exercise due care is intentional. These findings refine our understanding of the cognitive processes underpinning moral judgment in older adulthood and highlight the role of subjective probability judgments in negligence attribution. (shrink)

The high predictive accuracy of contemporary machine learning-based AI systems has led some scholars to argue that, in certain cases, we should grant them epistemic expertise and authority over humans. This approach suggests that humans would have the epistemic obligation of relying on the predictions of a highly accurate AI system. Contrary to this view, in this work we claim that it is not possible to endow AI systems with a genuine account of epistemic expertise. In fact, relying on accounts (...) of expertise and authority from virtue epistemology, we show that epistemic expertise requires a relation with understanding that AI systems do not satisfy and intellectual abilities that these systems do not manifest. However, recent developments of large language models make us argue that in the future AI systems may endowed with a form of epistemic authority. Further, following the Distributed Cognition theory and adapting an account by Croce on the virtues of collective epistemic agents to the case of human-AI interactions we show that, if an AI system is successfully appropriated by a human agent, a hybrid epistemic agent emerges, which can become both an epistemic expert and an authority. Consequently, we claim that the aforementioned hybrid agent is the appropriate object of a discourse around trust in AI and the epistemic obligations that stem from its epistemic superiority. (shrink)

There is debate within the literature as to whether emotion dysregulation (ED) in Attention-Deficit Hyperactivity Disorder (ADHD) reflects deviant attentional mechanisms or atypical perceptual emotion processing. Previous reviews have reliably examined the nature of facial, but not vocal, emotion recognition accuracy in ADHD. The present meta-analysis quantified vocal emotion recognition (VER) accuracy scores in ADHD and controls using robust variance estimation, gathered from 21 published and unpublished papers. Additional moderator analyses were carried out to determine whether the nature of VER (...) accuracy in ADHD varied depending on emotion type. Findings revealed a medium effect size for the presence of VER deficits in ADHD, and moderator analyses showed VER accuracy in ADHD did not differ due to emotion type. These results support the theories which implicate the role of attentional mechanisms in driving VER deficits in ADHD. However, there is insufficient data within the behavioural VER literature to support the presence of emotion processing atypicalities in ADHD. Future neuro-imaging research could explore the interaction between attention and emotion processing in ADHD, taking into consideration ADHD subtypes and comorbidities. (shrink)

The big-fish-little-pond effect (BFLPE) is the tendency for students to evaluate themselves more favourably when they have high rank in a low rank school than low rank in a high rank school. Research has documented the BFLPE on experienced emotions. We conducted three studies that examined forecasts of how the BFLPE influences other people’s emotions (i.e. empathic forecasts). In Study 1, participants received performance feedback about themselves or another person and reported their own affect or anticipated the other person’s affect. (...) Results extended the BFLPE to empathic forecasting. Moreover, forecasters anticipated that the BFLPE had a stronger influence on negative emotion than it actually did. Study 2 tested whether neglect of group rank underlies the BFLPE in empathic forecasting. Empathic forecasts were strongly influenced by another person’s rank in their group, but only weakly influenced by group rank. Study 3 tested whether extremity of group ranks exacerbates the BFLPE in empathic forecasting. Empathic forecasts were especially favourable (unfavourable) when a target had very high (low) rank in a very low (high) rank group. These data support the BFLPE in empathic forecasting, but also illustrate ways in which it is both similar to and different from actual experience of the effect. (shrink)

Emotional attenuation in a second language is believed to be one of the main causes of the Moral Foreign Language effect (MFLe). However, evidence on the mediating role of emotion in the relationship between language and moral judgements is limited and mainly derives from unrealistic moral dilemmas. We conducted two studies to investigate (1) whether the MFLe is present in both unrealistic (Study 1) and realistic (Study 2) moral dilemmas, and (2) whether this effect can be attributed to reduced emotionality. (...) In Study 1, the MFLe was found in the moral judgements made by Spanish-English bilinguals. However, the same pattern was not observed in Greek Cypriot-English bilinguals’ moral judgements, and this result was attributed to the prominent role of English in Cyprus. In Study 2, the MFLe extended to realistic moral dilemmas when the outcome of the action entailed the violation of a social norm. Study 1 and Study 2 also revealed that these bilinguals experienced a wide range of emotions in their L1 and L2, which did not differ significantly across languages. Mediation analyses further indicated that the MFLe was not mediated by emotional blunting, which made us consider alternative explanations for the MFLe. (shrink)

Humans recognise reddish-coloured faces as angry. However, does facial colour also affect “implicit” facial expression perception of which humans are not explicitly aware? In this study, we investigated the effects of facial colour on implicit facial expression perception. The experimental stimuli were “hybrid faces”, in which the low-frequency component of the neutral facial expression image was replaced with the low-frequency component of the facial expression image of happiness or anger. In Experiment 1, we confirmed that the hybrid face stimuli were (...) perceived as neutral and, therefore, supported implicit facial expression perception. In Experiment 2, the hybrid face stimuli were adjusted to natural and reddish facial colours, and their friendliness ratings were compared. The results showed that the expression of happiness was rated as more friendly than the expression of anger. In addition, the expression of happiness was rated as friendlier when the low-frequency happy component was red, but the friendliness rating of the expression of anger did not change when it was presented in red. In Experiment 3, we affirmed the implicit facial expression perception even in reddish colours. These results suggest that facial colour modulates the perception of implicit facial expressions in hybrid facial stimuli. (shrink)

Luthra, Peraza-Santiago, Beeson, Saltzman, Crinnion, and Magnuson (2021) present data from the lexically mediated compensation for coarticulation paradigm that they claim provides conclusive evidence in favor of top-down processing in speech perception. We argue here that this evidence does not support that conclusion. The findings are open to alternative explanations, and we give data in support of one of them (that there is an acoustic confound in the materials). Lexically mediated compensation for coarticulation thus remains elusive, while prior data from (...) the paradigm instead challenge the idea that there is top-down processing in online speech recognition. (shrink)

The language comprehension system preferentially assumes that agents come first during incremental processing. While this might reflect a biologically fixed bias, shared with other domains and other species, the evidence is limited to languages that place agents first, and so the bias could also be learned from usage frequency. Here, we probe the bias with electroencephalography (EEG) in Äiwoo, a language that by default places patients first, but where sentence-initial nouns are still locally ambiguous between patient or agent roles. Comprehenders (...) transiently interpreted nonhuman nouns as patients, eliciting a negativity when disambiguation was toward the less common agent-initial order. By contrast and against frequencies, human nouns were transiently interpreted as agents, eliciting an N400-like negativity when the disambiguation was toward patient-initial order. Consistent with the notion of a fixed property, the agent bias is robust against usage frequency for human referents. However, this bias can be reversed by frequency experience for nonhuman referents. (shrink)

Trong những năm gần đây, khái niệm phát triển bền vững đã trở nên phổ biến trong các ngành công nghiệp trên khắp thế giới. Người tiêu dùng ngày càng tỏ ra quan tâm đến tác động môi trường tạo ra từ các lựa chọn của họ, điều này đã thúc đẩy các công ty phải sử dụng các thông điệp và biện pháp thân thiện với môi trường. Mặc dù những nỗ lực thực sự hướng đến sự bền vững (...) là đáng khen ngợi, nhưng đã xuất hiện một xu hướng đáng báo động: hiện tượng "tẩy xanh" (greenwashing). Trong các hoạt động tẩy xanh này, các công ty thường phóng đại hoặc trình bày sai những nỗ lực về môi trường của họ để thu hút những người tiêu dùng có ý thức về môi trường. Vụ bê bối "Diesel sạch" của Volkswagen vào năm 2015 đã chỉ ra hiện hiện tượng tẩy xanh đáng báo động trong các doanh nghiệp. Tình trạng này đã lan rộng sang nhiều lĩnh vực khác nhau, bao gồm cả ngành đồ uống và thời trang nhanh. (shrink)

This replication study aims to investigate a potential bias toward addition in the German language, building upon previous findings of Winter and colleagues who identified a similar bias in English. Our results confirm a bias in word frequencies and binomial expressions, aligning with these previous findings. However, the analysis of distributional semantics based on word vectors did not yield consistent results for German. Furthermore, our study emphasizes the crucial role of selecting appropriate translational equivalents, highlighting the significance of considering language‐specific (...) factors when testing for such biases for languages other than English. (shrink)

Previous research has found that people choose to reappraise low intensity images more often than high intensity images. However, this research does not account for image ambivalence, which is presence of both positive and negative cues in a stimulus. The purpose of this research was to determine differences in ambivalence in high intensity and low intensity images used in previous research (experiments 1–2), and if ambivalence played a role in emotion regulation choice in addition to intensity (experiments 3–4). Experiments 1 (...) and 2 found that the low intensity images were more ambivalent than the high intensity images. Experiment 2 further found a positive relationship between ambivalence of an image and reappraisal affordances. Experiments 3 and 4 found that people chose to reappraise ambivalent images more often than non-ambivalent images, and they also chose to reappraise low intensity images more often than high intensity images. These experiments support the idea that ambivalence is a factor in emotion regulation choice. Future research should consider the impact ambivalent stimuli have on emotion regulation, including the potential for leveraging ambivalent stimuli to improve one’s emotion regulation ability. (shrink)

This thesis explores and discusses foundational issues concerning the relationship between phenomenological philosophy and the enactive approach to cognitive science, with the aim of clarifying, developing, and promoting the project of enactive phenomenology. This project is framed by three general ideas: 1) that the sciences of mind need a phenomenological grounding, 2) that the enactive approach is the currently most promising attempt to provide mind science with such a grounding, and 3) that this attempt involves both a naturalization of phenomenology (...) and a phenomenologization of the concept of nature. More specifically, enactive phenomenology is the project of pursuing mutually illuminative exchanges between, on the one hand, phenomenological investigations of the structures of lived experience and embodied existence and, on the other, scientific accounts of mind and life – in particular those framed by theories of biological self-organization. The thesis consists of two parts. Part one is an introductory essay that seeks to clarify some of enactive phenomenology’s overarching philosophical commitments by tracing some of its historical roots. Part two is a compilation of four articles, each of which intervenes in a different contemporary debate relevant to the dissertation’s project. (shrink)

Climate change and environmental degradation are threatening the existence of humanity. The youth have the potential and capability to play a pivotal role in tackling these challenges. Therefore, the current study aims to examine how school and family environmental education can enhance environmental knowledge, willingness to take action, and pro-environmental behaviors among children and young people. The Bayesian Mindsponge Framework (BMF) analytics was utilized on a nationally representative dataset of 2069 Vietnamese primary, secondary, and high school students. The analysis results (...) suggest that school and family environmental education is beneficial for improving students’ environmental knowledge and willingness to take environmental actions. Notably, the effect of school education is more substantial for cultivating environmental knowledge, whereas family education has a stronger impact on raising students’ willingness than school education. Students with higher levels of environmental knowledge are more likely to conduct pro-environmental behaviors only when they are willing to take environmental actions. If students are unwilling to act, higher environmental knowledge is negatively associated with the likelihood of pro-environmental behavior. Following these findings, we call for coordinated education efforts of schools and families to cultivate students’ eco-surplus culture. The education efforts should be implemented along with exposing students to environmental settings and encouraging them to read environmental books. (shrink)

Most theories of learning would predict a gradual acquisition and refinement of skills as learning progresses, and while some highlight exponential growth, this fails to explain why natural cognitive development typically progresses in stages. Models that do span multiple developmental stages typically have parameters to “switch” between stages. We argue that by taking an embodied view, the interaction between learning mechanisms, the resulting behavior of the agent, and the opportunities for learning that the environment provides can account for the stage‐wise (...) development of cognitive abilities. We summarize work relevant to this hypothesis and suggest two simple mechanisms that account for some developmental transitions: neural readiness focuses on changes in the neural substrate resulting from ongoing learning, and perceptual readiness focuses on the perceptual requirements for learning new tasks. Previous work has demonstrated these mechanisms in replications of a wide variety of infant language experiments, spanning multiple developmental stages. Here we piece this work together as a single model of ongoing learning with no parameter changes at all. The model, an instance of the Epigenetic Robotics Architecture (Morse et al 2010) embodied on the iCub humanoid robot, exhibits ongoing multi‐stage development while learning pre‐linguistic and then basic language skills. (shrink)

Three experiments test the theory that verb meanings are more malleable than noun meanings in different semantic contexts, making a previously seen verb difficult to remember when it appears in a new semantic context. Experiment 1 revealed that changing the direct object noun in a transitive sentence reduced recognition of a previously seen verb, whereas changing the verb had little impact on noun recognition. Experiment 2 revealed that verbs exhibited context effects more similar to those shown by superordinate nouns rather (...) than basic‐level nouns. Experiment 3 demonstrated that the degree of meaning change in a target word resulting from changes in semantic context influenced the magnitude of context effects, but context effects remained larger for verbs than for nouns even when the degree of meaning change was similar for nouns and verbs. These results are discussed with respect to the imageability and grammatical roles played by nouns and verbs in a sentence. (shrink)

Do properties of a word's features influence the order of its acquisition in early word learning? Combining the principles of mutual exclusivity and shape bias, the present work takes a network analysis approach to understanding how feature distinctiveness predicts the order of early word learning. Distance networks were built from nouns with edge lengths computed using various distance measures. Feature distinctiveness was computed as a distance measure, showing how far an object in a network is from other objects based on (...) shared and non‐shared features. Feature distinctiveness predicted order of acquisition across all measures: Words that were further away from other words in the network space were learned earlier. The best distance measures were based only on non‐shared features (object dissimilarity) and did not include shared features (object similarity). This indicates that shared features may play less of a role in early word learning than non‐shared features. In addition, the strongest effects were found for visual form and surface features. Cluster analysis further revealed that this effect is a localized effect in the object feature space, where objects' distances from their cluster centroid were inversely correlated with their age of acquisition. Together, these results suggest a role for feature distinctiveness in early word learning. (shrink)

Selective retrieval of task-relevant information often facilitates memory retention of that information. However, it is still unclear if selective retrieval of task-relevant information can alter memory for task-irrelevant information, and the role of emotional arousal in it. In two experiments, we used emotional and neutral faces as stimuli, and participants were asked to memorise the name (who is this person?) and location (where does he/she come from?) associated with each face in initial study. Then, half of the studied faces were (...) presented as cues, and participants were asked to retrieve the corresponding names (Experiment 1) or locations (Experiment 2). Finally, all the faces were presented and participants were asked to retrieve both the corresponding names and locations. The results of the final test showed that retrieval practice not only enhanced memory of task-relevant information but also enhanced memory of task-irrelevant information. More importantly, negative emotion amplified the retrieval practice effect overall, with a larger retrieval-induced benefit for the negative than neutral condition. These findings demonstrated an emotional arousal amplification effect on retrieval-induced enhancement effects, suggesting that the advantage of the retrieved memory representations can be amplified by emotional arousal even without explicit goals in a task setting. (shrink)

This paper considers how surprise (or its lack) can be cast as a metacognitive signal with an adaptive function in learning new knowledge and revising belief networks. It reviews the phenomena that may hinder this signal (e.g., hindsight bias) and argues for its extrinsic exploitation in instructional and educational contexts by educators, journalists and parents, who might train learners to internalize the use of surprise to drive explanation‐based learning.

Semantic memory encompasses one's knowledge about the world. Distributional semantic models, which construct vector spaces with embedded words, are a proposed framework for understanding the representational structure of human semantic knowledge. Unlike some classic semantic models, distributional semantic models lack a mechanism for specifying the properties of concepts, which raises questions regarding their utility for a general theory of semantic knowledge. Here, we develop a computational model of a binary semantic classification task, in which participants judged target words for the (...) referent's size or animacy. We created a family of models, evaluating multiple distributional semantic models, and mechanisms for performing the classification. The most successful model constructed two composite representations for each extreme of the decision axis (e.g., one averaging together representations of characteristically big things and another of characteristically small things). Next, the target item was compared to each composite representation, allowing the model to classify more than 1,500 words with human‐range performance and to predict response times. We propose that when making a decision on a binary semantic classification task, humans use task prompts to retrieve instances representative of the extremes on that semantic dimension and compare the probe to those instances. This proposal is consistent with the principles of the instance theory of semantic memory. (shrink)

What makes a word easy to learn? Early‐learned words are frequent and tend to name concrete referents. But words typically do not occur in isolation. Some words are predictable from their contexts; others are less so. Here, we investigate whether predictability relates to when children start producing different words (age of acquisition; AoA). We operationalized predictability in terms of a word's surprisal in child‐directed speech, computed using n‐gram and long‐short‐term‐memory (LSTM) language models. Predictability derived from LSTMs was generally a better (...) predictor than predictability derived from n‐gram models. Across five languages, average surprisal was positively correlated with the AoA of predicates and function words but not nouns. Controlling for concreteness and word frequency, more predictable predicates and function words were learned earlier. Differences in predictability between languages were associated with cross‐linguistic differences in AoA: the same word (when it was a predicate) was produced earlier in languages where the word was more predictable. (shrink)