The relationship between strong-ties weak-ties rationality and COVID-19 public stigma: A cross-cultural study of Malaysia and Australia.

We investigated the relationship between strong-ties versus weak-ties rationality and public stigma (PS) during the COVID-19 pandemic. We also explored the cultural group differences (Malaysians vs. Australians) in this relationship. An online survey was conducted in 2021 with a final sample of 830 eligible Malaysians and 394 eligible Australians. Participants completed the multidimensional strong-ties weak-ties rationality Scale (STWTRS) and an adapted public stigma (PS) scale towards COVID-19 patients. Through multiple regression analysis, we found that the strong-ties rationality, ST-Authoritarian rationality, was positively associated with PS-Blame in both countries. However, the variable Country moderated the relationship between ST-Communal and PS-Rejection, with a negative association found in Malaysia and a positive association in Australia. The findings confirmed the strong-ties weak-ties rationality framework, where ST rationality, especially ST-Authoritarian, could explain the cognitive mechanism behind negative attitudes towards those who pose threat towards the in-group survival. However, ST-Communal could buffer the rejection towards the COVID-19 patients in Malaysia due to its emphasis on social harmony. This study can inform future interventions aimed at mitigating stigma and promoting a more inclusive and supportive society in times of crisis.

Multi-omics integrated analyses indicated that non-polysaccharides of Sijunzi decoction ameliorated spleen deficiency syndrome via regulating microbiota-gut-metabolites axis and exerted synergistic compatibility.

ETHNOPHARMACOLOGICAL RELEVANCE: As a classical traditional Chinese medicine formula to invigorating spleen and replenishing qi, Sijunzi decoction (SJZD) is composed of four herbs, which is applied to cure spleen deficiency syndrome (SDS) clinically. The non-polysaccharides (NPSs) of SJZD (SJZD_NPS) are important pharmacodynamic material basis. However, the amelioration mechanism of SJZD_NPS on SDS has not been fully elaborated. Additionally, the contribution of herbs compatibility to efficacy of this formula remains unclear. AIM OF THE STUDY: The aim was to explore the underlying mechanisms of SJZD_NPS on improving SDS, and uncover the scientific connotation in SJZD compatibility. MATERIALS AND METHODS: A strategy integrating incomplete formulae (called "Chai-fang" in Chinese) comparison, pharmacodynamics, gut microbiome, and metabolome was employed to reveal the role of each herb to SJZD compatibility against SDS. Additionally, the underlying mechanism harbored by SJZD_NPS was further explored through targeted metabolomics, network pharmacology, molecular docking, pseudo-sterile model, and metagenomics. RESULTS: SJZD_NPS significantly alleviated diarrhea, disordered secretion of gastrointestinal hormones and neurotransmitters, damage of ileal morphology and intestinal barrier in SDS rats, which was superior to the NPSs of Chai-fang. 16S rRNA gene sequencing and metabolomics analyses revealed that SJZD_NPS effectively restored the disturbed gut microbiota community and abnormal metabolism caused by SDS, showing the most evident recovery. Moreover, SJZD_NPS recalled the levels of partial amino acids, short chain fatty acids and bile acids, which possessed strong binding affinity towards potential targets. The depletion of gut microbiota confirmed that the SDS-amelioration efficacy of SJZD_NPS is dependent on the intact gut microbiome, with the relative abundance of potential probiotics such as Lactobacillus_johnsonii and Lactobacillus_taiwanensis been enriched. CONCLUSION: NPSs in SJZD can improve SDS-induced gastrointestinal-nervous system dysfunction through regulating microbiota-gut-metabolites axis, with four herbs exerting synergistic effects, which indicated the compatibility rationality of SJZD.

Bounded rationality in healthcare: unraveling the psychological factors behind patient satisfaction in China.

Introduction: Patient satisfaction is a crucial metric to gauge the quality of medical services, but the psychological factors influencing patient satisfaction remain insufficiently explored. Methods: This study examines these psychological factors by applying the theory of bounded rationality to 1,442 inpatients in Hangzhou, China, whose data were collected using a questionnaire. One-way ANOVA, correlation analysis, and hierarchical regression were used to analyze patient satisfaction and its associated factors. Additionally, the path analysis of the structural equation model revealed the mechanisms behind the key psychological factors that influenced patient satisfaction. Results: Medical risk perception, the social cognition of the medical environment, and social desirability bias had significant positive impacts on patient satisfaction. By contrast, negative emotions had a significant negative impact on patient satisfaction. Notably, patients' negative emotions had both a suppressive effect and a positive moderating effect on the relationship between medical risk perception and patient satisfaction. Similarly, social desirability bias had a suppressive effect on the correlation between the social cognition of the medical environment and patient satisfaction, albeit with a negative moderating effect. Discussion: These results suggest that when evaluating and improving patient satisfaction, accounting only for the factors that directly influence medical service quality is insufficient, as the indirect and moderating effects of patients' negative emotions and the social cognition of the medical environment must also be considered. Medical service providers should thus address patients' negative emotions, establish good doctor-patient relationships, optimize service environments, provide managers with medical risk education and training on negative emotions, and prioritize patient-centered care. Additionally, the government and relevant health departments should optimize medical policies, enhance fairness and accessibility, and create a positive social cognitive environment through public education and awareness campaigns.

Interdependent network restoration games with incomplete information and bounded rationality.

Communities face the challenge of finding restoration strategies in the aftermath of disasters. In particular, independent and self-interested utility managers devise such strategies for infrastructure through a heuristic decentralized process. This paper takes a game-theoretic approach to model the decentralized and strategic restoration decision making with application to interdependent infrastructure. Particularly, we model the decision process using simultaneous games to investigate decision makers' conflicting preferences. We employ Bayesian games to incorporate the realistic assumptions of poor interagent communication, resulting in incomplete information. Also, we account for behavioral biases such as bounded rationality, cooperative behavior or lack thereof, and equality-driven resource allocations. We test our models using ideal, synthetic interdependent networks, and the realistic infrastructure of Shelby County, TN. Results show that cooperation leads to the best-performing decisions even if others are not cooperative. The necessity of cooperation is even higher when there is a dominant player whose service is vital to other players. Our sensitivity results highlight the significant influence of resource availability and allocation on the performance of restoration plans. Our approach enhances the practicality of decision models for community resilience, and unravels novel policy strategies such as cooperation incentives.

Coupling simulation of pipeline nodes - Storage tank linkage in urban high-density built-up areas using optimization model.

Climate change and urbanization contribute to the increased frequency of short-duration intense rainstorms. Traditional solutions often involve multiple scenarios for cost-effectiveness comparison, neglecting the rationality of placement conditions. The effective coupling and coordination of the location, number, size, and cost of storage tanks are crucial to addressing this issue. A three-phase approach is proposed to enhance the dynamic link between drainage pipeline and storage tanks in urban high-density built-up areas, integrating Python language, SWMM, the Elitist Non-Dominated Sorting Genetic Algorithm (NSGA-III), and the Analytic Hierarchy Process (AHP) methods. In the first stage, each node within the pipeline network is considered as a potential storage tank location. In the second stage, factors such as the length and diameter of the upstream connecting pipeline, as well as the suitability of the storage tank location, are assessed. In the third stage, the length and diameter of the downstream connecting pipeline node are evaluated. The results show that the 90 overflow nodes (overflow time >0.5h) have been cleared using the three-phase approach with a 50a (duration = 3h) return period as the rainfall scenario, which meets the flooding limitations. After the completion of the three-phase method configuration, the total overflow and SS loads were reduced by 96.45% and 49.30%, respectively, compared to the status quo conditions. These two indicators have decreased by 48.16 and 9.05%, respectively, compared to the first phase (the traditional method of only replacing all overflow nodes with storage tanks). The proposed framework enables decision-makers to evaluate the acceptability and reliability of the optimal management plan, taking into account their preferences and uncertainties.

Normative powers without conventions.

What exactly do we need to do in order to make a promise, or to exercise some other normative power? On a view relied on by many philosophers writing on promising, consent, and related phenomena, the answer is that we must communicate a suitable kind of intention. On this view, power-conferring principles assert that specific normative consequences, determined in part by the content of the communicated intention, attach to such communicative acts, and these principles need not be socially practised or accepted to be true. The paper offers a defense of this convention-independent view against the forceful challenge developed by Jed Lewinsohn in 'The "Natural Unintelligibility" of Normative Powers'. Lewinsohn appeals to action-theoretic considerations to show that the relevant type of communicative act could not be performed under conditions of rationality and full information, and that therefore promissory power and other normative powers require the existence of social rules conferring such powers. The defense of the view targeted by Lewinsohn turns partly on the exact content of plausible constraints on the intelligibility of actions done with a particular aim, and partly on the question just how the social acceptance of power-conferring rules should be thought to matter.

The nature of anchor-biased estimates and its application to the wisdom of crowds.

We propose a method to achieve better wisdom of crowds by utilizing anchoring effects. In this method, people are first asked to make a comparative judgment such as "Is the number of new COVID-19 infections one month later more or less than 10 (or 200,000)?" As in this example, two sufficiently different anchors (e.g., "10" or "200,000") are set in the comparative judgment. After this comparative judgment, people are asked to make their own estimates. These estimates are then aggregated. We hypothesized that the aggregated estimates using this method would be more accurate than those without anchor presentation. To examine the effectiveness of the proposed method, we conducted three studies: a computer simulation and two behavioral experiments (numerical estimation of perceptual stimuli and estimation of new COVID-19 infections by physicians). Through computer simulations, we could identify situations in which the proposed method is effective. Although the proposed method is not always effective (e.g., when a group can make fairly accurate estimations), on average, the proposed method is more likely to achieve better wisdom of crowds. In particular, when a group cannot make accurate estimations (i.e., shows biases such as overestimation or underestimation), the proposed method can achieve better wisdom of crowds. The results of the behavioral experiments were consistent with the computer simulation findings. The proposed method achieved better wisdom of crowds. We discuss new insights into anchoring effects and methods for inducing diverse opinions from group members.

Science as a calling and as a profession: The wider setting in Weber's scholarly endeavor.

In his 1917 lecture for Munich students (most often entitled in English translation "Science as a Vocation"), Max Weber addressed numerous issues: not only how "profession" and "calling" are related in science and scholarship, but also Entzauberung ("disenchantment"); rationality and its limits; ultimate values; and the field of tension between science and religion. The present essay locates these themes in Weber's oeuvre from 1911 onward, and analyses how they resonate and culminate in Weber's address in 1917. It is in 1911 that he decided to engage with the problem that was to stand central in his thinking until his death in 1920: the nature and causes of certain specific turns in the course of European history which, so he argued, have proven to be of "universal significance." Special attention is given in the present essay to how Weber dealt in this connection with the rise of modern science and the rise of modern tonal harmony. A concluding section explains what, over a century later, makes reading Weber still so rewarding an experience.

Artificial Intelligence and Agency: Tie-breaking in AI Decision-Making.

Determining the agency-status of machines and AI has never been more pressing. As we progress into a future where humans and machines more closely co-exist, understanding hallmark features of agency affords us the ability to develop policy and narratives which cater to both humans and machines. This paper maintains that decision-making processes largely underpin agential action, and that in most instances, these processes yield good results in terms of making good choices. However, in some instances, when faced with two (or more) choices, an agent may find themselves with equal reasons to choose either - thus being presented with a tie. This paper argues that in the event of a tie, the ability to create a voluntarist reason is a hallmark feature of agency, and second, that AI, through current tie-breaking mechanisms does not have this ability, and thus fails at this particular feature of agency.

Rational inattention: A new theory of neurodivergent information seeking.

This paper presents rational inattention as a new, transdiagnostic theory of information seeking in neurodevelopmental conditions that have uneven cognitive and socio-emotional profiles, including developmental language disorder (DLD), dyslexia, dyscalculia and autism. Rational inattention holds that the optimal solution to minimizing epistemic uncertainty is to avoid imprecise information sources. The key theoretical contribution of this report is to endogenize imprecision, making it a function of the primary neurocognitive difficulties that have been invoked to explain neurodivergent phenotypes, including deficits in auditory perception, working memory, procedural learning and the social brain network. We argue that disengagement with information sources with low endogenous precision (e.g. speech in DLD, orthography-phonology mappings in dyslexia, numeric stimuli in dyscalculia and social signals in autism) constitutes resource-rational behaviour. We demonstrate the strength of this account in a series of computational simulations. In experiment 1, we simulate information seeking in artificial agents mimicking an array of neurodivergent phenotypes, which optimally explore a complex learning environment containing speech, text, numeric stimuli and social cues. In experiment 2, we simulate optimal information seeking in a cross-modal dual-task paradigm and qualitatively replicate empirical data from children with and without DLD. Across experiments, simulated agents' only aim was to maximally reduce epistemic uncertainty, with no difference in reward across information sources. We show that rational inattention emerges naturally in specific neurodivergent phenotypes as a function of low endogenous precision. For instance, an agent mimicking the DLD phenotype disengages with speech (and preferentially engages with alternative precise information sources) because endogenous imprecision renders speech not conducive to information gain. Because engagement is necessary for learning, simulation demonstrates how optimal information seeking may paradoxically contribute negatively to an already delayed learning trajectory in neurodivergent children. RESEARCH HIGHLIGHTS: We present the first comprehensive theory of information seeking in neurodivergent children to date, centred on the notion of rational inattention. We demonstrate the strength of this account in a series of computational simulations involving artificial agents mimicking specific neurodivergent phenotypes that optimally explore a complex learning environment containing speech, text, numeric stimuli, and social cues. We show how optimal information seeking may, paradoxically, contribute negatively to an already delayed learning trajectory in neurodivergent children. This report advances our understanding of the factors shaping short-term decision making and long-term learning in neurodivergent children.

The Essence of What it Is to Act Rationally: A Perspective on Distinctively Human Action Based on Aristotelian Philosophy and Evolutionary Science.

The purpose of this article is to understand the distinctively human behavior from Aristotelian ethics and evolutionary science to offer a perspective of what it means to act rationally. We argue that this way of acting is characterized by a decision informed by the analysis of whether or not it is worth pursuing an end, and by certain means, which takes place through a weighting of consequences from the body of knowledge that the person has so far We also argue that such a process can occur quickly (and requiring a less cognitive effort) or slowly (and demanding more cognitive effort), depending on whether or not the person has previous experiences of choices that have generated good consequences in the type of context presented; What does it mean for a person to have or not rational heuristics established in their minds, which are those that are connected to the most current network of "whys" and that has been consolidated precisely because they have proven effective in pointing out what is best to do in that kind of context. Finally, we apply the perspective we are offering to evidence three imprecise notions about "acting rationally".

Giving Consent to the Ineffable.

A psychedelic renaissance is currently taking place in mental healthcare. The number of psychedelic-assisted therapy trials is growing steadily, and some countries already grant psychiatrists special permission to use psychedelics in non-research contexts under certain conditions. These clinical advances must be accompanied by ethical inquiry. One pressing ethical question involves whether patients can even give informed consent to psychedelic-assisted therapy: the treatment's transformative nature seems to block its assessment, suggesting that patients are unable to understand what undergoing psychedelic-assisted therapy actually means for them and whether it aligns with their values. The present paper argues that patients often have sufficient knowledge to give informed consent because they know that they want to change their negative status quo and that psychedelic-assisted therapy offers an effective way to do so. Accordingly, patients can understand what the transformative nature of psychedelic-assisted therapy means for them and a make a value-aligned choice even if they are unable to anticipate the manifestation of a psychedelic experience.

Resource-rational account of sequential effects in human prediction.

An abundant literature reports on 'sequential effects' observed when humans make predictions on the basis of stochastic sequences of stimuli. Such sequential effects represent departures from an optimal, Bayesian process. A prominent explanation posits that humans are adapted to changing environments, and erroneously assume non-stationarity of the environment, even if the latter is static. As a result, their predictions fluctuate over time. We propose a different explanation in which sub-optimal and fluctuating predictions result from cognitive constraints (or costs), under which humans however behave rationally. We devise a framework of costly inference, in which we develop two classes of models that differ by the nature of the constraints at play: in one case the precision of beliefs comes at a cost, resulting in an exponential forgetting of past observations, while in the other beliefs with high predictive power are favored. To compare model predictions to human behavior, we carry out a prediction task that uses binary random stimuli, with probabilities ranging from 0.05 to 0.95. Although in this task the environment is static and the Bayesian belief converges, subjects' predictions fluctuate and are biased toward the recent stimulus history. Both classes of models capture this 'attractive effect', but they depart in their characterization of higher-order effects. Only the precision-cost model reproduces a 'repulsive effect', observed in the data, in which predictions are biased away from stimuli presented in more distant trials. Our experimental results reveal systematic modulations in sequential effects, which our theoretical approach accounts for in terms of rationality under cognitive constraints.

Multistage Supply Chain Channel Principal-Agent Model in the Context of e-Commerce With Fairness Preference.

This research aims to investigate information asymmetry in e-commerce supply chain channels and the impact of the fair preference model on the behavior and returns of channel members. Therefore, by contrasting it with the model in the completely rational case, this research establishes a more realistic principal-agent model and incorporates the fair preference model into the e-commerce supply chain channel. According to the model's analysis, the effort level of the retailer at each stage is positively correlated with the e-commerce efficiency coefficient, and the incentive coefficient of manufacturers is positively correlated with the e-commerce efficiency coefficient in the case where all rationality is assumed. Manufacturing companies' anticipated profits are positively correlated with the e-commerce efficiency coefficient. According to the fair preference model, retailers will put forth more effort to sell products when their fixed income from manufacturers is higher and their optimal effort level is positively correlated with that income. When e-commerce's efficiency coefficient is higher than 1, the retailer's revenue and effort exceeded those of traditional channels. Manufacturers and retailers both experience Pareto improvements in their earnings after the fair preference model is introduced.

Approaching religious fatalism in cancer screening education.

RATIONALE: Religious fatalism has for decades been pointed out as a barrier to cancer screening attendance and several studies suggest interventions to decrease fatalism, given its negative impact on the uptake of cancer screening. AIMS AND OBJECTIVES: Our objective in this interdisciplinary exploration on religious fatalism in the context of cancer screening is to contribute to the increasing academic discussion on religious fatalism and cancer screening as well as the broader context of the intersection of religion and bioethics. METHOD: Through an analysis of religious fatalism in light of the notion of rationality and images of God, we find resources and suggest trajectories for a more seriously and constructively approach to religious fatalism in cancer education. RESULTS AND CONCLUSION: Our main thesis is that interventions do not necessarily have to decrease religious fatalism to increase screening.

Confirmation bias emerges from an approximation to Bayesian reasoning.

Confirmation bias is defined as searching for and assimilating information in a way that favours existing beliefs. We show that confirmation bias emerges as a natural consequence of boundedly rational belief updating by presenting the BIASR model (Bayesian updating with an Independence Approximation and Source Reliability). In this model, an individual's beliefs about a hypothesis and the source reliability form a Bayesian network. Upon receiving information, an individual simultaneously updates beliefs about the hypothesis in question and the reliability of the information source. If the individual updates rationally then this introduces numerous dependencies between beliefs, the tracking of which represents an unrealistic demand on memory. We propose that human cognition overcomes this memory limitation by assuming independence between beliefs, evidence for which is provided in prior research. We show how a Bayesian belief updating model incorporating this independence approximation generates many types of confirmation bias, including biased evaluation, biased assimilation, attitude polarisation, belief perseverance and confirmation bias in the selection of sources.

Rationally blind? Rationality polarizes policy support for colour blindness versus multiculturalism.

Do White Americans prefer society to be 'colour-blind' by rising above racial identities, or 'multicultural' by openly discussing and considering them? We developed an ideology-rationality model to understand support for these diversity perspectives. Specifically, since people endorse a diversity perspective in line with their ideological values, we hypothesized that conservatism is related to a relative preference for colour blindness over multiculturalism. However, since colour blindness and multiculturalism are complex and multi-layered ideologies, we further hypothesized that the relationship between conservatism and a preference for colour blindness over multiculturalism is especially pronounced under higher levels of rationality. Results confirmed the hypotheses, either when rationality was operationalized within a dual process theory (Study 1, N = 496) or experimentally induced within a tripartite model of cognition (Study 2, N = 497). Higher levels of rationality guided White Americans high in conservatism towards a stronger preference for colour-blindness, but those low in conservatism towards a stronger preference for multiculturalism. These results suggest that among White Americans the endorsement of colour blindness versus multiculturalism stems from the interplay between ideological orientation and rationality and that rational considerations about racial policies may further divide rather than unify along ideological lines.

Individuals, Collectives, and Individuals in Collectives: The Ineliminable Role of Dependence.

Our beliefs are inextricably shaped through communication with others. Furthermore, even conversation we conduct in pairs may itself be taking place across a wider, connected social network. Our communications, and with that our thoughts, are consequently typically those of individuals in collectives. This has fundamental consequences with respect to how our beliefs are shaped. This article examines the role of dependence on our beliefs and seeks to demonstrate its importance with respect to key phenomena involving collectives that have been taken to indicate irrationality. It is argued that (with the benefit of hindsight) these phenomena no longer seem surprising when one considers the multiple dependencies that govern information acquisition and the evaluation of cognitive agents in their normal (i.e., social) context.

The compatibility rationality of Sijunzi decoction based on integrated analysis of tissue distribution and excretion characteristics in spleen deficiency syndrome rats.

ETHNOPHARMACOLOGICAL RELEVANCE: As a classical prescription for treating spleen deficiency syndrome (SDS), Sijunzi decoction (SJZD) is composed of Ginseng Radix et Rhizoma (RG, Panax ginseng C.A.Mey.), Atractylodes Macrocephalae Rhizoma (AM, Atractylodes macrocephala Koidz.), Poria (Poria cocos (Schw.) Wolf) and Glycyrrhizae Radix et Rhizoma Praeparata Cum Melle (GRP, processed from Glycyrrhiza uralensis Fisch., Glycyrrhiza inflata Bat. or Glycyrrhiza glabra L.). The non-polysaccharides (NPSs) are the pharmacodynamic substance basis of SJZD, whose pharmacokinetics in SDS rats were elaborated previously. Further study on their tissue distribution and excretion properties is of significance for understanding the compatibility laws of SJZD. AIM OF THE STUDY: The aim was to unravel the tissue distribution and excretion characteristics of NPSs of SJZD in SDS rats, and explore the scientific connotation of SJZD compatibility. MATERIALS AND METHODS: A validated ultrafast liquid chromatography tandem mass spectrometry method was developed for monitoring the accurate dynamics of sixteen components in the tissues, feces and urine of SDS rats. The four incomplete formulae of SJZD were prepared by randomly deleting one herb to uncover the herb-herb interactions. RESULTS: All components of NPSs in SJZD were distributed in the tissues, except for ononin in the heart. Among them, glycyrrhetinic acid and atractylenolide III were more abundant in the liver and lung, respectively, while other components were enriched in the ileum, especially saponins. The evaluation of fecal excretion and urinary excretion revealed the low cumulative excretion of all components. The comparative analysis of incomplete formulae indicated that the tissue distribution and excretion became faster after removing Poria from SJZD, while a lack of RG led to slower tissue distribution. The tissue distribution at most time points was reduced when AM was absent. Further comprehensive visualization implied that SJZD compatibility can improve tissue distribution of the NPSs, especially ginsenosides and atractylenolide, at the specific time periods. CONCLUSION: The tissue distribution and excretion characteristics of NPSs of SJZD were elucidated in current research. Meanwhile, this study proposed new insights into the mechanism of SJZD compatibility rationality.

Overlapping consensus in pluralist societies: simulating Rawlsian full reflective equilibrium.

The fact of reasonable pluralism in liberal democracies threatens the stability of such societies. John Rawls proposed a solution to this problem: The different comprehensive moral doctrines endorsed by the citizens overlap on a shared political conception of justice, e.g. his justice as fairness. Optimally, accepting the political conception is for each citizen individually justified by the method of wide reflective equilibrium. If this holds, society is in full reflective equilibrium. Rawls does not in detail investigate the conditions under which a full reflective equilibrium is possible or likely. This paper outlines a new strategy for addressing this open question by using the formal model of reflective equilibrium recently developed by Beisbart et al. First, it is argued that a bounded rationality perspective is appropriate which requires certain changes in the model. Second, the paper rephrases the open question about Rawlsian full reflective equilibrium in terms of the model. The question is narrowed down by focusing on the inferential connections between comprehensive doctrines and political conception. Rawls himself makes a demanding assumption about which connections are necessary for a full reflective equilibrium. Third, the paper presents a simulation study design that is focused on simplicity. The results are discussed, they fit with Rawls's assumption. However, because of the strong idealisations, they provide a useful benchmark rather than a final answer. The paper presents suggestions for more elaborate study designs.