Infants' understanding of the causal power of agents and tools.

Tools are objects that are manipulated by agents with the intention to cause an effect in the world. We show that the cognitive capacity to understand tools is present in young infants, even if these tools produce arbitrary, causally opaque effects. In experiments 1-2, we used pupillometry to show that 8-mo-old infants infer an invisible causal contact to account for the-otherwise unexplained-motion of a ball. In experiments 3, we probed 8-mo-old infants' account of a state change event (flickering of a cube) that lies outside of the explanatory power of intuitive physics. Infants repeatedly watched an intentional agent launch a ball behind an occluder. After a short delay, a cube, positioned at the other end of the occluder began flickering. Rare unoccluded events served to probe infants' representation of what happened behind the occluder. Infants exhibited larger pupil dilation, signaling more surprise, when the ball stopped before touching the cube, than when it contacted the cube, suggesting that infants inferred that the cause of the state change was contact between the ball and the cube. This effect was canceled in experiment 4, when an inanimate sphere replaced the intentional agent. Altogether, results suggest that, in the infants' eyes, a ball (an inanimate object) has the power to cause an arbitrary state change, but only if it inherits this power from an intentional agent. Eight-month-olds are thus capable of representing complex event structures, involving an intentional agent causing a change with a tool.

Syllables and their beginnings have a special role in the mental lexicon.

The beginnings of words are, in some informal sense, special. This intuition is widely shared, for example, when playing word games. Less apparent is whether the intuition is substantiated empirically and what the underlying organizational principle(s) might be. Here, we answer this seemingly simple question in a quantitatively clear way. Based on arguments about the interplay between lexical storage and speech processing, we examine whether the distribution of information among different speech sounds of words is governed by a critical computational unit for online speech perception and production: syllables. By analyzing lexical databases of twelve languages, we demonstrate that there is a compelling asymmetry between syllable beginnings (onsets) versus ends (codas) in their involvement in distinguishing words stored in the lexicon. In particular, we show that the functional advantage of syllable onset reflects an asymmetrical distribution of lexical informativeness within the syllable unit but not an effect of a global decay of informativeness from the beginning to the end of a word. The converging finding across languages from a range of typological families supports the conjecture that the syllable unit, while being a critical primitive for both speech perception and production, is also a key organizational constraint for lexical storage.

From intuition to AI: evolution of small molecule representations in drug discovery.

Within drug discovery, the goal of AI scientists and cheminformaticians is to help identify molecular starting points that will develop into safe and efficacious drugs while reducing costs, time and failure rates. To achieve this goal, it is crucial to represent molecules in a digital format that makes them machine-readable and facilitates the accurate prediction of properties that drive decision-making. Over the years, molecular representations have evolved from intuitive and human-readable formats to bespoke numerical descriptors and fingerprints, and now to learned representations that capture patterns and salient features across vast chemical spaces. Among these, sequence-based and graph-based representations of small molecules have become highly popular. However, each approach has strengths and weaknesses across dimensions such as generality, computational cost, inversibility for generative applications and interpretability, which can be critical in informing practitioners' decisions. As the drug discovery landscape evolves, opportunities for innovation continue to emerge. These include the creation of molecular representations for high-value, low-data regimes, the distillation of broader biological and chemical knowledge into novel learned representations and the modeling of up-and-coming therapeutic modalities.

Denoising diffusion probabilistic models for generation of realistic fully-annotated microscopy image datasets.

Recent advances in computer vision have led to significant progress in the generation of realistic image data, with denoising diffusion probabilistic models proving to be a particularly effective method. In this study, we demonstrate that diffusion models can effectively generate fully-annotated microscopy image data sets through an unsupervised and intuitive approach, using rough sketches of desired structures as the starting point. The proposed pipeline helps to reduce the reliance on manual annotations when training deep learning-based segmentation approaches and enables the segmentation of diverse datasets without the need for human annotations. We demonstrate that segmentation models trained with a small set of synthetic image data reach accuracy levels comparable to those of generalist models trained with a large and diverse collection of manually annotated image data, thereby offering a streamlined and specialized application of segmentation models.

Intuition-and-Tactile Bimodal Sensing Based on Artificial-Intelligence-Motivated All-Fabric Bionic Electronic Skin for Intelligent Material Perception.

Developing electronic skins (e-skins) with extraordinary perception through bionic strategies has far-reaching significance for the intellectualization of robot skins. Here, an artificial intelligence (AI)-motivated all-fabric bionic (AFB) e-skin is proposed, where the overall structure is inspired by the interlocked bionics of the epidermis-dermis interface inside the skin, while the structural design inspiration of the dielectric layer derives from the branch-needle structure of conifers. More importantly, AFB e-skin achieves intuition sensing in proximity mode and tactile sensing in pressure mode based on the fringing and iontronic effects, respectively, and is simulated and verified through COMSOL finite element analysis. The proposed AFB e-skin in pressure mode exhibits maximum sensitivity of 15.06 kPa-1 (<50 kPa), linear sensitivity of 6.06 kPa-1 (50-200 kPa), and fast response/recovery time of 5.6 ms (40 kPa). By integrating AFB e-skin with AI algorithm, and with the support of material inference mechanisms based on dielectric constant and softness/hardness, an intelligent material perception system capable of recognizing nine materials with indistinguishable surfaces within one proximity-pressure cycle is established, demonstrating abilities that surpass human perception.

People Have Systematically Different Ownership Intuitions in Seemingly Simple Cases.

Our understanding of ownership influences how we interact with objects and with each other. Here, we studied people's intuitions about ownership transfer using a set of simple, parametrically varied events. We found that people (N = 120 U.S. adults) had similar intuitions about ownership for some events but sharply opposing intuitions for others (Experiment 1). People (N = 120 U.S. adults) were unaware of these conflicts and overestimated ownership consensus (Experiment 2). Moreover, differences in people's ownership intuitions predicted their intuitions about the acceptability of using, altering, controlling, and destroying the owned object (N = 130 U.S. adults; Experiment 3), even when ownership was not explicitly mentioned (N = 130 U.S. adults; Experiment 4). Subject-level analyses suggest that these disagreements reflect at least two underlying intuitive theories, one in which intentions are central to ownership and another in which physical possession is prioritized.

Children dynamically update and extend the interface between number words and perceptual magnitudes.

As adults, we represent and think about number, space, and time in at least two ways: our intuitive-but imprecise-perceptual representations, and the slowly learned-but precise-number words. With development, these representational formats interface, allowing us to use precise number words to estimate imprecise perceptual experiences. We test two accounts of this developmental milestone. Either slowly learned associations are required for the interface to form, predicting that deviations from typical experiences (e.g., presentation of a novel unit or unpracticed dimension) will disrupt children's ability to map number words to their perceptual experiences or children's understanding of the logical similarity between number words and perceptual representations allows them to flexibly extend this interface to novel experiences (e.g., units and dimensions they have not yet learned how to formally measure). 5-11-year-olds completed verbal estimation and perceptual sensitivity tasks across three dimensions: Number, Length, and Area. For verbal estimation, they were given novel units (i.e., a three-dot unit called one "toma" for Number, a 44 px long line called one "blicket" for Length, a 111 px2 blob called one "modi" for Area) and asked to estimate how many tomas/blickets/modies they saw when shown a larger set of dots, lines, and blobs. Children could flexibly link number words to novel units across dimensions, demonstrating positive estimation slopes, even for Length and Area, which younger children had limited experience with. This suggests that the logic of structure mapping can be dynamically utilized across perceptual dimensions, even without extensive experience.

Infants expect friends, but not rivals, to be happy for each other when they succeed.

A friend telling you good news earns them a smile while witnessing a rival win an award may make you wrinkle your nose. Emotions arise not just from people's own circumstances, but also from the experiences of friends and rivals. Across three moderated, online looking time studies, we asked if human infants hold expectations about others' vicarious emotions and if they expect those emotions to be guided by social relationships. Ten- and 11-month-old infants (N = 154) expected an observer to be happy rather than sad when the observer watched a friend successfully jump over a wall; infants looked longer at the sad response compared to the happy response. In contrast, infants did not expect the observer to be happy when the friend failed, nor when a different, rival jumper succeeded; infants' looking times to the two emotion responses in these conditions were not reliably different. These results suggest that infants are able to integrate knowledge across social contexts to guide expectations about vicarious emotional responses. Here infants connected an understanding of agents' goals and their outcomes with knowledge of social relationships to infer an emotion response. Biased concern for friends but not adversaries is not just a descriptive feature of human relationships, but an expectation about the social world present from early in development. Further, the successful integration of these information types welcomes the possibility that infants can jointly reason about goals, emotions, and social relationships under an intuitive theory of psychology. RESEARCH HIGHLIGHTS: 11-month-old infants use knowledge of relationships to make inferences about others' vicarious emotions. In Experiment 1 infants expected an observer to respond happily to a friend's success but not their failure. Experiments 2 and 3 varied the relationship between the observer and actor and found that infants' expectation of vicarious happiness is strongest for positive relationships and absent for negative relationships. The results may reflect an intuitive psychology in which infants expect friends to adopt concern for one another's goals and to thus experience one another's successes as rewarding.

Association between intuitive eating and health outcomes in outpatients with type 2 diabetes: a cross-sectional study.

PURPOSE: To evaluate the association between intuitive eating and health outcomes in patients with type 2 diabetes in a cross-sectional study. METHODS: Consecutively, outpatients attending at university hospital underwent clinical, laboratory, lifestyle, and eating behavior evaluations. Intuitive eating was assessed using the Intuitive Eating Scale-2 (IES-2), and the Three Factor Eating Questionnaire-21 was adopted as a confirmatory tool for disordered eating behavior. Optimized health outcomes were considered according to the American Diabetes Association criteria for BMI, HbA1c, lipid profile, and blood pressure values, and the International Diabetes Federation criteria for waist circumference. Considering the answers of the IES-2 items, patients were grouped by latent class analysis, and their characteristics were compared by appropriate tests. RESULTS: In total, 267 patients were evaluated: 62.2% women, with 60 (53-65) years, BMI 31.9 ± 5.4 kg/m², diabetes duration of 16 ± 9 years, HbA1c 8.5 ± 1.5%, and an IES-2 total score of 58 (50-67)%. Three intuitive eating groups were identified: higher intuitive eating, nonemotional-oriented coping, and lower intuitive eating. Patients with higher intuitive eating have higher chances of having optimized BMI and serum triglycerides values compared to patients with lower intuitive eating. Also, the 10-point increase on IES-2 was associated with a 0.62 kg/m² reduction on BMI values (95%CI -1.18;-0.06), 1.90 cm on waist circumference (95%CI -3.26;-0.54), and 23 mg/dL in serum triglycerides values (95%CI -38.27;-7.40) after adjustment for age, sex, psychotropic drug use, medication effect score, smoking, and BMI. CONCLUSION: Intuitive eating seems to be associated with optimized health outcomes and may contribute to better personalized interventions in nutritional treatment that promote adaptive behaviors in diabetes management, but should be tested.

Children and adults' intuitions of what people can believe.

Two preregistered studies tested how 5- to 6-year-olds, 7- to 8-year-olds, and adults judged the possibility of holding alternative beliefs (N = 240, 110 females, U.S. sample, mixed ethnicities, data collected from September 2020 through October 2021). In Study 1, children and adults thought people could not hold different beliefs when their initial beliefs were supported by evidence (but judged they could without this evidential constraint). In Study 2, children and adults thought people could not hold different beliefs when their initial beliefs were moral beliefs (but judged they could without this moral constraint). Young children viewed moral beliefs as more constrained than adults. These results suggest that young children already have sophisticated intuitions of the possibility of holding various beliefs and how certain beliefs are constrained.

What curves are parallel? The core feature of preschoolers' intuitive parallel category.

Existing evidence has revealed that humans can spontaneously categorize many geometric shapes without formal education. Children around 4 years could distinguish between intersecting lines and parallel lines. Three features can be used to identify parallel lines, namely "translational congruence," "never meet," and "constant distance." This study separated them by using pairs of curves that possess only one of these features. Two experiments across 2021-2023, respectively, compared the relative priority of "translational congruence" with "constant distance," and "never meet" with "constant distance" among 3- to 5-year-old Chinese preschoolers (Ntotal = 314, 48% female). The results showed that preschoolers consistently grouped "constant distance" curves with parallel lines. This suggests that the core feature of intuitive parallel category is "constant distance" at this age.

Heuristic strategy of intuitive statistical inferences in 7- to 10-year-old children.

Intuitive statistical inferences refer to making inferences about uncertain events based on limited probabilistic information, which is crucial for both human and non-human species' survival and reproduction. Previous research found that 7- and 8-year-old children failed in intuitive statistical inference tasks after heuristic strategies had been controlled. However, few studies systematically explored children's heuristic strategies of intuitive statistical inferences and their potential numerical underpinnings. In the current research, Experiment 1 (N = 81) examined 7- to 10-year-olds' use of different types of heuristic strategies; results revealed that children relied more on focusing on the absolute number strategy. Experiment 2 (N = 99) and Experiment 3 (N = 94) added continuous-format stimuli to examine whether 7- and 8-year-olds could make genuine intuitive statistical inferences instead of heuristics. Results revealed that both 7- and 8-year-olds and 9- and 10-year-olds performed better in intuitive statistical inference tasks with continuous-format stimuli, even after focusing on the absolute number strategy had been controlled. The results across the three experiments preliminarily hinted that the ratio processing system might rely on the approximate number system. Future research could clarify what specific numerical processing mechanism may be used and how it might support children's statistical intuitions.

Diagnosis: What Is the Structure of Its Reasoning?

How does the diagnosis process work? This essay traces the philosophical underpinnings of diagnosis from Hume through Kant, Peirce, and Popper, analyzing how pathologists amalgamate sensibility, intuition, and imagination to form new hypotheses that can be tested by evidence and experience.

Euthanasia and End-of-Life Decisions: From the Empirical Turn to Moral Intuitionism.

Most medical learned societies have endorsed both "equivalence" between all forms of withholding or withdrawing treatment and the "discontinuity" between euthanasia and practices to withhold or withdraw treatment. While the latter are morally acceptable insofar as they consist in letting the patient die, the former constitutes an illegitimate act of actively interfering with a patient's life. The moral distinction between killing and letting die has been hotly debated both conceptually and empirically, most notably by experimental philosophers, with inconclusive results. This article employs a "revisionary" intuititionist perspective to discuss the results of a clinical ethics study about intensivists' perceptions of withhold or withdraw decisions. The results show that practitioners' moral experience is at odds with both the discontinuity and equivalence theses. This outcome allows us to revisit certain concepts, such as intention and causal relationship, that are prominent in the conceptual debate. Intensivists also regard end-of-life decisions as being on a scale from least to most active, and whether they regard active forms of end-of-life decisions as ethically acceptable depends on the overarching professional values they endorse: the patient's best chances of survival, or the patient's quality of life.

The visual analogue scale as a child-friendly measure of the unhealthy = tasty intuition.

Worldwide, obesity is a growing concern. The implicit belief that healthiness and tastiness in food are inversely related (the Unhealthy = Tasty Intuition or UTI) decreases healthy food consumption and increases the risk of obesity. Since also childhood obesity has increased at an alarming rate and a large component of adult obesity is established during childhood, questions about children's own food beliefs and preferences are important. However, methods currently used to assess the UTI are either unvalidated Likert scales or implicit measures that are time intensive and too complex to be used for children. Two studies presented here offer an alternative measurement - the simple visual analogue scale. The findings show that this measure is more effective in predicting dietary quality in adults and the frequency of healthy food consumption in children compared to more traditional measures. This simple and effective tool could be used by academics and health practitioners alike to better understand children's food beliefs at an early age, which is a critical step when addressing the increasing obesity problem.

Electrophysiological and behavioral differences of general and food-specific inhibitory control in people with different levels of intuitive eating.

Intuitive eating influences health-related behaviors (including calorie and nutritional intake) that are modulated by inhibitory control, producing implications for physical, mental, and emotional health. However, little is known about the relationship between intuitive eating habits and inhibitory control. Therefore, we tested intuitive eating's influence on measures of general and food-related inhibitory control using behavioral and event-related potentials (N2 and P3 components). We included 40 healthy participants: 23 had a higher level of intuitive eating, and 17 had a lower level. They participated in food-specific go/no-go and general go/no-go tasks for which we recorded electroencephalogram data. As expected, in the food-specific go/no-go task, the P3 component amplitude in the lower intuitive eating group was significantly larger than in the higher intuitive eating group; there were no significant between-group differences in the N2 amplitudes or behavioral measures. Moreover, there were no ERP or behavioral difference between groups in the general go/no-go task. Further research is needed to understand the role of positive eating behaviors in food-specific inhibitory control.

Motivation to regulate eating behaviors, intuitive eating, and well-being: A dyadic study with mothers and adult daughters.

Intuitive eating, defined as relying on physiological cues to determine when, what, and how much to eat while maintaining a positive relationship with food (Tribole & Resch, 1995), has gained a lot of research attention in the last two decades. The present study sought to determine how motivation for regulating eating behaviors is related to intuitive eating and well-being outcomes in dyads of mothers and their adult daughters (n = 214). Structural equation modelling revealed that controlling for dieting and desire to lose weight, both mothers' and daughters' autonomous motivation was positively associated with their own intuitive eating while their controlled motivation was negatively associated with intuitive eating. In turn, intuitive eating was positively associated with well-being in both mothers and daughters. Interestingly, mothers' intuitive eating was also positively related to their daughters' well-being. The analysis of indirect effects suggests that mothers' motivation to regulate eating behaviors has an indirect (mediating) relationship with daughters' well-being through mothers' intuitive eating. The implications for women's health and well-being are discussed.

The Intuitive Eating Scale-3: Development and psychometric evaluation.

Intuitive eating has been found to protect against disordered eating and preserve well-being. Yet, there are methodological (length), conceptual (inconsideration of medical, value-based, and access-related reasons for food consumption), and psychometric (item wording) concerns with its most common measure, the Intuitive Eating Scale-2 (IES-2). To address these concerns, we developed the IES-3 and investigated its psychometric properties with U.S. community adults. Across three online studies, we evaluated the IES-3's factorial validity using exploratory factor analysis (EFA; Study 1; N = 957; Mage = 36.30), as well as confirmatory factor analysis (CFA), exploratory structural equation modeling (ESEM), bifactor-CFA, and bifactor-ESEM (Study 2; N = 1152; Mage = 40.95), and cross-validated the optimal model (Study 3; N = 884; Mage = 38.54). We examined measurement invariance across samples and time, differential item functioning (age, body mass index [BMI], gender), composite reliability, and validity. Study 1 revealed a 12-item, 4-factor structure (unconditional permission to eat, eating for physical reasons, reliance on hunger and satiety cues, body-food choice congruence). In Study 2, a bifactor-ESEM model with a global intuitive eating factor and four specific factors best fit the data, which was temporally stable across three weeks. This model also had good fit in Study 3 and, across Studies 2 and 3, and was fully invariant and lacked measurement bias in terms of age, gender, and BMI. Associations between latent IES-3 factors and age, gender, and BMI were invariant across Studies 2 and 3. Composite reliability and validity (relationships with disordered eating, embodiment, body image, well-being, and distress; negligible relationship with impression management) of the retained model were also supported. The 12-item IES-3 demonstrates strong psychometric properties in U.S. community adults. Research is now needed using the IES-3 in other cultural contexts and social identity groups.

Can we get human nature right?

Few questions in science are as controversial as human nature. At stake is whether our basic concepts and emotions are all learned from experience, or whether some are innate. Here, I demonstrate that reasoning about innateness is biased by the basic workings of the human mind. Psychological science suggests that newborns possess core concepts of "object" and "number." Laypeople, however, believe that newborns are devoid of such notions but that they can recognize emotions. Moreover, people presume that concepts are learned, whereas emotions (along with sensations and actions) are innate. I trace these beliefs to two tacit psychological principles: intuitive dualism and essentialism. Essentialism guides tacit reasoning about biological inheritance and suggests that innate traits reside in the body; per intuitive dualism, however, the mind seems ethereal, distinct from the body. It thus follows that, in our intuitive psychology, concepts (which people falsely consider as disembodied) must be learned, whereas emotions, sensations, and emotions (which are considered embodied) are likely innate; these predictions are in line with the experimental results. These conclusions do not speak to the question of whether concepts and emotions are innate, but they suggest caution in its scientific evaluation.

Psychometric network analysis of the Intuitive Eating Scale-2 in Chinese general adults.

The Intuitive Eating Scale-2 (IES-2) is a measure of intuitive eating behaviors that has been extensively validated, with traditional latent variable modeling approaches, in youth and adults from many different populations, including college students in China. However, there is still a lack of research on the psychometric properties of the IES-2 in adults from the Chinese general population. Moreover, psychometric network analysis, as a complement to traditional latent variable modeling approaches, has not been used for examining the psychometric properties of the IES-2. Thus, the present study used a psychometric network approach to evaluate the psychometric properties of the IES-2 in Chinese adults from the general population. A sample of 700 Chinese general adults (50% women; Mage = 31.13 years, SD = 9.19) recruited online were included in the present study. Psychometric network analysis was performed. Exploratory graph analysis (EGA) identified four dimensions, which were well separated in the estimated network. The network structure showed excellent stability and metric measurement invariance (i.e., network loadings) across men and women. Furthermore, several items on the IES-2 were identified as key nodes in the network of the IES-2 that may be important for the development and maintenance of intuitive eating. For example, two items (i.e., "I trust my body to tell me when to eat," and "I trust my body to tell me when to stop eating") related to reliance on body cues were the most impactful nodes in the complete network. The findings of our study provide a greater understanding of the IES-2 from the perspective of network analysis and have implications for applications of intuitive eating interventions for general populations.