In order to solve the problem of unsmooth and inefficient human-computer interaction process in the information age, a method for human-computer interaction intention prediction based on electroencephalograph signals and eye movement signals is proposed. This approach is different from previous methods where researchers predict using data from human-computer interaction and a single physiological signal. This method uses the eye movements and EEG signals that clearly characterized the interaction intention as the prediction basis. In addition, this approach is not only tested (...) with multiple human-computer interaction intentions, but also takes into account the operator in different cognitive states. The experimental results show that this method has some advantages over the methods proposed by other researchers. In Experiment 1, using the eye movement signal fixation point abscissa Position X, fixation point ordinate Position Y, and saccade amplitude to judge the interaction intention, the accuracy reached 92%, In experiment 2, only relying on the pupil diameter, pupil size and fixed time, fixed time of eye movement signals can not achieve higher accuracy of the operator’s cognitive state, so EEG signals are added. The cognitive state was identified separately by combining the screened EEG parameters Rα/β with the eye movement signal pupil diameter and fixation time, with an accuracy of 91.67%. The experimental combination of eye movement and EEG signal features can be used to predict the operator’s interaction intention and cognitive state. (shrink)

Populism is on the rise, especially in Western Europe. While it is often assumed that populist actors have a tendency for fallacious reasoning, this has not been systematically investigated. We analyze the use of informal fallacies by right-wing populist politicians and their representation in the media during election campaigns. We conduct a quantitative content analysis of press releases of right-wing populist parties and news articles in print media during the most recent elections in the United Kingdom and Switzerland in 2015. (...) The results show that fallacies are used in more than a third of all analyzed texts and overwhelmingly co-occur with populist key messages. Moreover, fallacies occur more often in populist parties’ press releases than in news articles and are more common in Switzerland compared to the United Kingdom. This study confirms the argument that populist actors use fallacies in combination with populist claims. (shrink)

Diffusions in Architecture: Artificial Intelligence and Image Generators delves into the impact of Diffusion AI algorithms and generative image models on architecture design and aesthetics. The book presents an in-depth analysis of how these new technologies are revolutionizing the field of architecture. The architects presented in the book focus on the application of specific AI techniques and tools used in generative design, such as Diffusion models, Dall-E2, Stable Diffusion, and MidJourney. It discusses how these techniques can generate synthetic images that (...) are both realistic and imaginative, creating new possibilities for architectural design and aesthetics. This comprehensive overview of the impact of Diffusion AI algorithms and generative image models on the field of architecture shows how they are changing the way architects approach their work. With a foreword by Lev Manovich—artist, writer and one of the world's most influential digital culture theorists. Sharing the work and insights of a team of designers and theorists from a range of backgrounds, offering disciplinary depth, and covering the full impact of these tools and models on architecture, Diffusions in Architecture includes information on: Fresh perspectives on design and aesthetics, with designs, images, and commentary from 22 leading architects, theorists, and designersThe potential of prompt engineering and text-to-image models applicable to a broad interdisciplinary audienceWhether image generators, or AI in general, will be an aid for human design, or potentially displace humans from the market fundamentals of a larger debate in the architectural discourse (and practice) on the use of image generatorsCollecting the different ideas that have emerged in the field, Diffusions in Architecture provides architects, designers, concept artists, and theorists with an overview of this cornucopia of architectural imaginations produced in a common effort between humans and artificial intelligence. (shrink)

We argue that the main results of scientific papers may appropriately be published even if they are false, unjustified, and not believed to be true or justified by their author. To defend this claim we draw upon the literature studying the norms of assertion, and consider how they would apply if one attempted to hold claims made in scientific papers to their strictures, as assertions and discovery claims in scientific papers seem naturally analogous. We first use a case study of (...) William H. Bragg’s early 20th century work in physics to demonstrate that successful science has in fact violated these norms. We then argue that features of the social epistemic arrangement of science which are necessary for its long run success require that we do not hold claims of scientific results to their standards. We end by making a suggestion about the norms that it would be appropriate to hold scientific claims to, along with an explanation of why the social epistemology of science—considered as an instance of collective inquiry—would require such apparently lax norms for claims to be put forward. (shrink)

Machine learning algorithms are increasingly used to shape high-stake allocations, sparking research efforts to orient algorithm design towards ideals of justice and fairness. In this research on algorithmic fairness, normative theorizing has primarily focused on identification of “ideally fair” target states. In this paper, we argue that this preoccupation with target states in abstraction from the situated dynamics of deployment is misguided. We propose a framework that takes dynamic trajectories as direct objects of moral appraisal, highlighting three respects in which (...) such trajectories can be subject to evaluation in relation to their temporal dynamics, robustness, and representation. (shrink)

Data‐driven algorithms are widely used to make or assist decisions in sensitive domains, including healthcare, social services, education, hiring, and criminal justice. In various cases, such algorithms have preserved or even exacerbated biases against vulnerable communities, sparking a vibrant field of research focused on so‐called algorithmic biases. This research includes work on identification, diagnosis, and response to biases in algorithm‐based decision‐making. This paper aims to facilitate the application of philosophical analysis to these contested issues by providing an overview of three (...) key topics: What is algorithmic bias? Why and how can it occur? What can and should be done about it? Throughout, we highlight connections—both actual and potential—with philosophical ideas and concerns. (shrink)

Previous simulation models have found positive effects of cognitive diversity on group performance, but have not explored effects of diversity in demographics (e.g., gender, ethnicity). In this paper, we present an agent-based model that captures two empirically supported hypotheses about how demographic diversity can improve group performance. The results of our simulations suggest that, even when social identities are not associated with distinctive task-related cognitive resources, demographic diversity can, in certain circumstances, benefit collective performance by counteracting two types of conformity (...) that can arise in homogeneous groups: those relating to group-based trust and those connected to normative expectations towards in-groups. (shrink)

This paper addresses the problem of judgment aggregation in science. How should scientists decide which propositions to assert in a collaborative document? We distinguish the question of what to write in a collaborative document from the question of collective belief. We argue that recent objections to the application of the formal literature on judgment aggregation to the problem of judgment aggregation in science apply to the latter, not the former question. The formal literature has introduced various desiderata for an aggregation (...) procedure. Proposition-wise majority voting emerges as a procedure that satisfies all desiderata which represent norms of science. An interesting consequence is that not all collaborating scientists need to endorse every proposition asserted in a collaborative document. (shrink)

Inspired by recent breakthroughs in predictive modeling, practitioners in both industry and government have turned to machine learning with hopes of operationalizing predictions to drive automated decisions. Unfortunately, many social desiderata concerning consequential decisions, such as justice or fairness, have no natural formulation within a purely predictive framework. In efforts to mitigate these problems, researchers have proposed a variety of metrics for quantifying deviations from various statistical parities that we might expect to observe in a fair world and offered a (...) variety of algorithms in attempts to satisfy subsets of these parities or to trade o the degree to which they are satised against utility. In this paper, we connect this approach to fair machine learning to the literature on ideal and non-ideal methodological approaches in political philosophy. The ideal approach requires positing the principles according to which a just world would operate. In the most straightforward application of ideal theory, one supports a proposed policy by arguing that it closes a discrepancy between the real and the perfectly just world. However, by failing to account for the mechanisms by which our non-ideal world arose, the responsibilities of various decision-makers, and the impacts of proposed policies, naive applications of ideal thinking can lead to misguided interventions. In this paper, we demonstrate a connection between the fair machine learning literature and the ideal approach in political philosophy, and argue that the increasingly apparent shortcomings of proposed fair machine learning algorithms reflect broader troubles faced by the ideal approach. We conclude with a critical discussion of the harms of misguided solutions, a reinterpretation of impossibility results, and directions for future research. (shrink)

I argue that collaborators do not need to reach broad agreement over the justification of a consensus claim. This is because maintaining a diversity of justifiers within a scientific collaboration has important epistemic value. I develop a view of collective justification that depends on the diversity of epistemic perspectives present in a group. I argue that a group can be collectively justified in asserting that P as long as the disagreement among collaborators over the reasons for P is itself justified. (...) In conclusion, I make a case for multimethod collaborative research and work through an example in the social sciences. (shrink)

Josef Albo, Spanish Rabbi and Jewish Philosopher, writes his Sefer ha-iqqarim in the interval between the Tortosa Disputation and the expulsion of the Jews from Spain. The book is based on the ideas of Maimonides. In Early Modem Times it becomes an important source in Christian theological discussions.

This paper defends JN Keynes’s argument that normative economics can be objective. It begins by exploring Keynes’s view on the positive/normative distinction in economics. After discussing its originality and advantages, the paper recognizes that the Keynesian distinction does not explain the exact nature of the relationship between positive and normative economics. Thus, it tries to improve Keynes’s position using Popper’s contributions to economics. It shows that for Popper, advances in normative social science are the main steppingstone to resolving disagreements over (...) the choice of the norms underlying the reform of social situations. The final two parts of the paper draw on the contributions of Keynes and Popper to the study of norms to explain why normative economics can more easily approach objectivity by concentrating on highly delimited topics. The last part relies on Popper’s concept of avoidable unhappiness to offer one method of restraining the tasks of normative economics. (shrink)

Though there are many factors that contribute to the perceived legitimacy of business ethics education, this research focuses on one factor that is given great attention both formally and informally in many business schools: student satisfaction with the course. To understand the nature of student satisfaction, the authors draw from multiple theories with central claims relating expectations with satisfaction. The authors then compare student expectations of business ethics courses with instructor objectives and discover that business ethics courses are not necessarily (...) designed to meet student expectations. The authors speculate that this general mismatch between student expectations and instructor objectives has material consequences. As one example, the authors analyze student evaluations from three business schools and identify a “business ethics course effect”: a negative association between business ethics courses and student evaluations. The authors discuss the implications for business ethics education of a situation where pedagogical objectives and market prescriptions point in different directions. (shrink)

The resource-based model of self-regulation provides a pessimistic view of self-regulation that people are destined to lose their self-control after having engaged in any act of self-regulation because these acts deplete the limited resource that people need for successful self-regulation. The cognitive control theory, however, offers an alternative explanation and suggests that the depletion effect reflects switch costs between different cognitive control processes recruited to deal with demanding tasks. This account implies that the depletion effect will not occur once people (...) have had the opportunity to adapt to the self-regulatory task initially engaged in. Consistent with this idea, the present study showed that engaging in a demanding task led to performance deficits on a subsequent self-regulatory task only when the initial demanding task was relatively short but not when it was long enough for participants to adapt. Our results were unrelated to self-efficacy, mood, and motivation. (shrink)

Self-disclosures on online social networks have received increased attention in the last two decades. Researchers from different disciplines investigated manifold influencing variables, and studies applied different theories to explain why many users share very sensitive and personal information despite potential risks and negative consequences, whereas others do not. Oftentimes, it is argued that self-disclosure decisions result from a kind of rational “calculus” of risks and benefits. However, such an assumption of rationality can and has been criticized. Nevertheless, fundamental cognitive and (...) affective mechanisms that underlie self-disclosure decision making on social networks are still under-explored. By building upon previous self-disclosure theories and models, dual-and tripartite-system perspectives of decision making, and former empirical findings, we propose a Tripartite Self-Disclosure Decision model that conceptualizes inner processes of online self-disclosure decision making. Central to this model is the proposed interaction of three neural and cognitive/affective systems: a reflective, an impulsive, and an interoceptive system. We further highlight individual and environmental features, which can impact individuals’ online self-disclosure decisions by influencing the proposed inner decision-making processes targeting the aforementioned three systems. Possible short- and long-term consequences are also discussed, which in turn can affect certain model components in subsequent self-disclosure decision situations. By taking such a neurocognitive perspective, we expand current research and models, which helps to better understand potentially risky information sharing on online social networks and can support attempts to prevent users from incautious self-disclosures. (shrink)

Diversity of social identities can improve the performance of groups through varied cognitive and communicative pathways. Recently, research efforts have focused on identifying when we should expect to see these potential benefits in real-world settings. While most research to date has studied this topic at individual and interpersonal levels, in this paper, we develop an agent-based model to explore how various aspects of homophily, the tendency of individuals to associate with similar others, affects performance at a larger scale. Study 1 (...) examines how two types of homophily---identity-driven and opinion-driven---impact collective performance on a sequential decision-making task via modulating network formation and trust relations. Study 2 considers how the presence of identity-based conformity pressure can affect the findings from the first study. Overall, we find that the effect of homophily on performance is complex, depending on the operative dimensions of similarity, mediating pathways, and the specific outcome of interest. Finally, we discuss the implications of our results for policy interventions aiming to improve group performance. (shrink)

Informal caregivers provide care to their family or friends in case of an illness, disability, or frailty. The caregiving situation of informal caregivers may vary based on the relationship they have with the care recipient, e.g., being a spouse or being an adult child. It might be that these different ICGs also have different needs. This study aims to explore and compare the needs of different groups of ICGs based on the relationship they have with their CR. We conducted a (...) systematic review, performing a search in the databases PubMed, CINAHL, and PsycINFO. We included studies with qualitative, quantitative, or mixed-method study designs. We analyzed the data using the thematic analysis method. We included 22 articles. The included articles reported the needs of ICGs taking care of a spouse, parent, or sibling aged 18 years or above. We did not include other relationships due to the limited number of articles on these relationships. The most prominent needs reported by the spousal, adult child, and adult sibling ICGs were the need for information and need for support. The three groups differed in their needs as well. Adult child and adult sibling ICGs indicated a need to be acknowledged by the people around them for their role of carer, while they also needed to be seen as an individual having their own personal needs. Moreover, spousal ICGs indicated a unique need of redefining their role and relationship with their CR. Overall, the findings indicate that along with experiencing common needs, the investigated groups have unique needs as well. Knowing the needs of different groups of ICGs can help develop tailored solutions to improve the quality of life of the ICGs and their CR.Systematic Review Registration: [www.crd.york.ac.uk/prospero/], identifier [CRD42020188560]. (shrink)

Education reforms worldwide, in both developed and developing countries, address the content of education programmes and/or changes education systems. There are different paths, and different socio...

Despite receiving a great deal of research attention, the effect of corporate philanthropy on shareholder value remains inconclusive. To address this issue, the present paper examines emotionality as an important factor based on which investors infer about the firm’s motive as well as the beneficiary’s worthiness and react accordingly. Consistent with attribution theory, our event study shows that announcements with more emotional expressions are associated with higher cumulative abnormal stock returns and the effect is stronger when investor attention is greater. (...) We further find that the positive interaction effect between emotionality and investor attention is more pronounced for scandal-free firms than for firms with corporate social irresponsibility (CSI). The empirical evidence remains consistent under various robustness tests. The paper concludes with implications for future research and managerial practices. (shrink)

ZusammenfassungDie Entwicklung einer „personalisierten Medizin“ ist zurzeit in aller Munde. Insbesondere die personalisierte Arzneimitteltherapie gewinnt infolge der pharmakologischen und molekulargenetischen Entwicklungen immer mehr an Bedeutung. Dies macht es erforderlich, die Auswirkungen der personalisierten Arzneimitteltherapie auf die gesetzliche Krankenversicherung (GKV) und die Patientenversorgung zu untersuchen. In diesem Zusammenhang stellt sich die Frage nach einer „Orphanisierung“: Könnten Arzneimittel der personalisierten Medizin regelmäßig als Orphan Drugs, also als Arzneimittel für seltene Leiden, ausgewiesen werden, würde für sie nach dem Arzneimittelneuordnungsgesetz (AMNOG) grundsätzlich kein Nachweis (...) des Zusatznutzens im Rahmen der vom Gemeinsamen Bundesausschuss (GBA) vorzunehmenden frühen Nutzenbewertung erforderlich werden. Entscheidend für die Ausweisung des Arzneimittels als Orphan Drug ist unter anderem die Prävalenzrate der Patientengruppe, deren Erkrankung mit dem Arzneimittel behandelt werden soll. In diesem Zusammenhang kommt der Stratifizierung von Patientengruppen im Rahmen der personalisierten Arzneimitteltherapie eine besondere Bedeutung zu. Eine solche „Orphanisierung“ hätte für die GKV wegen der mangelnden Kenntnis von dem Zusatznutzen des Arzneimittels insbesondere preisrechtliche Konsequenzen; für die Patienten sind die Folgen durchaus differenzierter zu betrachten. (shrink)

Die Entwicklung einer „personalisierten Medizin“ ist zurzeit in aller Munde. Insbesondere die personalisierte Arzneimitteltherapie gewinnt infolge der pharmakologischen und molekulargenetischen Entwicklungen immer mehr an Bedeutung. Dies macht es erforderlich, die Auswirkungen der personalisierten Arzneimitteltherapie auf die gesetzliche Krankenversicherung (GKV) und die Patientenversorgung zu untersuchen. In diesem Zusammenhang stellt sich die Frage nach einer „Orphanisierung“: Könnten Arzneimittel der personalisierten Medizin regelmäßig als Orphan Drugs, also als Arzneimittel für seltene Leiden, ausgewiesen werden, würde für sie nach dem Arzneimittelneuordnungsgesetz (AMNOG) grundsätzlich kein Nachweis (...) des Zusatznutzens im Rahmen der vom Gemeinsamen Bundesausschuss (GBA) vorzunehmenden frühen Nutzenbewertung erforderlich werden. Entscheidend für die Ausweisung des Arzneimittels als Orphan Drug ist unter anderem die Prävalenzrate der Patientengruppe, deren Erkrankung mit dem Arzneimittel behandelt werden soll. In diesem Zusammenhang kommt der Stratifizierung von Patientengruppen im Rahmen der personalisierten Arzneimitteltherapie eine besondere Bedeutung zu. Eine solche „Orphanisierung“ hätte für die GKV wegen der mangelnden Kenntnis von dem Zusatznutzen des Arzneimittels insbesondere preisrechtliche Konsequenzen; für die Patienten sind die Folgen durchaus differenzierter zu betrachten. (shrink)

In the hopes of finding supporting evidence for various accounts of actual causation, many philosophers have recently turned to psychological findings about the influence of norms on counterfactual cognition. Surprisingly little philosophical attention has been paid, however, to the question of why considerations of normality should be relevant to counterfactual cognition to begin with. In this paper, I follow two aims. First, against the methodology of two prominent psychological accounts, I argue for a functional approach to understanding the selectivity of (...) counterfactual cognition. Second, I take some steps towards a systematic analysis by providing a qualitative, decision‐theoretic account of one important function of counterfactual thinking, namely, inferring, in the face of undesirable outcomes, corrective policies that prevent the occurrence of similar outcomes in future circumstances. I make a case for employing this analysis by (a) showing its value for assessing the rationality of imagination‐driven counterfactual generation, (b) highlighting its use for making sense of practices in history and policy analysis where counterfactual selection plays a central role, and (c) demonstrating its diagnostic value for identifying areas where counterfactual generation may lead us into epistemic and ethical troubles. (shrink)

Before she became a Buddhist nun in the tradition of Thich Nhat Hanh, Sister Dang Nghiem was a doctor. Born during the Tet Offensive and part of the amnesty for Amerasian children of the late 1970s, Dang Nghiem arrived in this country virtually penniless and with no home. She lived with three foster families, graduated high school with honors, earned two undergraduate degrees, and became a doctor. When the man she thought she'd spend her life with suddenly drowned, (...) Sister Dang Nghiem left medicine and joined the monastic community of Thich Nhat Hanh. It is from this vantage point that Dang Nghiem writes about her journey of healing. Devastated by the diagnosis and symptoms of Lyme Disease, she realized that she was also reliving many of the unresolved traumas from earlier in her life. She applied both her medical knowledge and her advanced understanding and practice of mindfulness to healing. Through meditation she finally came to understand what it means to "master" suffering. In Mindfulness as Medicine Sister Dang Nghiem leads readers through her profound journey of healing and shares step-by-step directions for the techniques she used to transform her suffering. (shrink)

In this chapter, we aimed at further characterizing the functional neuroanatomy of the human rapid eye movement (REM) sleep at the population level. We carried out a meta-analysis of a large dataset of positron emission tomography (PET) scans acquired during wakefulness, slow wave sleep and REM sleep, and focused especially on the brain areas in which the activity diminishes during REM sleep. Results show that quiescent regions are confined to the inferior and middle frontal cortex and to the inferior parietal (...) lobule. Providing a plausible explanation for some of the features of dream reports, these findings may help in refining the concepts, which try to account for human cognition during REM sleep. In particular, we discuss the significance of these results to explain the alteration in executive processes, episodic memory retrieval and self representation during REM sleep dreaming as well as the incorporation of external stimuli into the dream narrative. (shrink)

民间游戏是传统文化的精髓,集运动、智慧、娱乐于一身.但随社会发展,民间游戏已呈衰落的趋势,面临失传境地.本书试图从科学的视角重新审视,使其焕发新的生命力.本书旨在从科学的角度进行引导,在老游戏中玩出智 慧、乐趣和健康好身体.图文并茂,通俗易懂,便于传播,力图使其成为"孩子的游乐场,亲情的粘合剂,教师的好帮手,研究者的资源库".

Dream is a state of consciousness characterized by internally-generated sensory, cognitive and emotional experiences occurring during sleep. Dream reports tend to be particularly abundant, with complex, emotional, and perceptually vivid experiences after awakenings from rapid eye movement sleep. This is why our current knowledge of the cerebral correlates of dreaming, mainly derives from studies of REM sleep. Neuroimaging results show that REM sleep is characterized by a specific pattern of regional brain activity. We demonstrate that this heterogeneous distribution of brain (...) activity during sleep explains many typical features in dreams. Reciprocally, specific dream characteristics suggest the activation of selective brain regions during sleep. Such an integration of neuroimaging data of human sleep, mental imagery, and the content of dreams is critical for current models of dreaming; it also provides neurobiological support for an implication of sleep and dreaming in some important functions such as emotional regulation. (shrink)

Port Cities are historically the places for paradigm shifts, radical changes, and socio-economic transitions. In particular, the interaction zone between the port infrastructure and urban activities creates liminal spaces at the forefront of many contemporary challenges. In these liminal spaces, the port's flows, form, and function intertwine with urban contexts and conflict with the living conditions. Conceptualizing the portcityscape and harborscape as liminal space and urban thresholds leads to (re)thinking about innovative participatory methods and technologies for building community resilience in (...) port cities. Additionally, inevitable constant development in port cities requires adaptability and resilience from the waterfronts to the hinterlands and city centers. Such confrontation of port infrastructures and urbanization is socio-politically and spatially challenging, specifically in historic port cities. Therefore, as the approach to exploiting energy and human resources changes over time, the physicality of the built environment in port cities and how we (re)use the resources need to be redefined. This research investigates key socio-spatial features and challenges of port cities by examining how the port's proximity to the city requires coordination, collaboration, transparency, and community dialogue. The introduction and background literature discuss three domains and notions of port city studies, building community resiliency through participatory frameworks, and parasitic architecture. By building upon this analytical framework, the paper presents case studies developed within the research-led design studio focusing on building resilient communities in four port cities, including Amsterdam, Constanta, Alexandria, and Rio De Janeiro. This research focus on the community-enabled application of emerging technologies, innovative approaches, and co-designing and co-building participatory methods. The selected case studies introduce an integrative and multi-scalar pedagogical framework for building resilient communities in liminal spaces of port cities. (shrink)

The two mythical tales from the Samguk yusa, “Lady Suro” and “Monk Hyet’ong Defeats the Dragon” reveal the little-known evil character of the Korean dragons. The second story presents a particular scene of a confrontation between a hero and a malicious dragon; this story leads us to reflect on the question of the symbolism of evil embodied by the Dragon who has a vengeful character. The dragon symbol and its semantic variations were constructed specifically within the singular Korean context and (...) cannot be limited to Chinese Buddhist heritage. (shrink)