Machine learning has been proven useful for solving the bottlenecks in building expert systems. Noise in the training instances will, however, confuse a learning mechanism. Two main steps are adopted here to solve this problem. The first step is to appropriately arrange the training order of the instances. It is well known from Psychology that different orders of presentation of the same set of training instances to a human may cause different learning results. This idea is used (...) here for machine learning and an order arrangement scheme is proposed. The second step is to modify a conventional noise-free learning algorithm, thus making it suitable for noisy environment. The generalized version space learning algorithm is then adopted to process the training instances for deriving good concepts. Finally, experiments on the Iris Flower problem show that the new scheme can produce a good training order, allowing the generalized version space algorithm to have a satisfactory learning result. (shrink)

Decision trees learning is one of the most practical classification methods in machine learning, which is used for approximating discrete-valued target functions. However, they may overfit the training data, which limits their ability to generalize to unseen instances. In this study, we investigated the use of instance reduction techniques to smooth the decision boundaries before training the decision trees. Noise filters such as ENN, RENN, and ALLKNN remove noisy instances while DROP3 and DROP5 may remove genuine instances. (...) Extensive empirical experiments were conducted on 13 benchmark datasets from UCI machine learning repository with and without intentionally introduced noise. Empirical results show that eliminating border instances improves the classification accuracy of decision trees and reduces the tree size, which reduces the training and classification times. In datasets without intentionally added noise, applying noise filters without the use of the built-in Reduced Error Pruning gave the best classification accuracy. ENN, RENN, and ALLKNN outperformed decision trees learning without pruning in 9, 9, and 8 out of 13 datasets, respectively. The datasets reduced using ENN and RENN without built-in pruning were more effective when noise was intentionally introduced in different ratios. (shrink)

. Network data analysis helps in capturing node usage behavior. Existing algorithms use reduced feature set to manage high runtime complexity. Ignoring features may increase classification errors. This paper presents a model, allowing classification of network traffic, while considering all the relevant features. Learning phase partitions training sample on values of the respective features. This creates equivalence classes related to m features. During classification, each feature value of the test instance results in picking one set from equivalence class (...) generated during learning. Algorithm captures new behavior in semi-supervised incremental learning mode. For problems having m features and n training samples the model has incremental learning complexity of and average classification complexity is of the order. (shrink)

Self-compassion, sharing some commonalities with positive psychology 2.0 approaches, is associated with better mental health outcomes in diverse populations, including workers. Due to the COVID-19 pandemic, there is heightened awareness of the importance of self-care for fostering mental health at work. However, evidence regarding the applications of self-compassion interventions in work-related contexts has not been systematically reviewed to date. Therefore, this systematic review aimed to synthesize and evaluate the utility of self-compassion interventions targeting work-related well-being, as well as assess the (...) methodological quality of relevant studies. Eligible articles were identified from research databases including ProQuest, PsycINFO, Science Direct, and Google Scholar. The quality of non-randomized trials and randomized controlled trials was assessed using the Newcastle-Ottawa Scale and the Quality Assessment Table, respectively. The literature search yielded 3,387 titles from which ten studies met the inclusion criteria. All ten studies reported promising effects of self-compassion training for work-related well-being. The methodological quality of these studies was medium. All ten studies recruited workers in a caring field and were mostly conducted in Western countries. The Self-Compassion Scale or its short-form was used in almost all instances. Findings indicate that self-compassion training can improve self-compassion and other work-related well-being outcomes in working populations. However, in general, there is need for greater methodological quality in work-related self-compassion intervention studies to advance understanding regarding the applications and limitations of this technique in work contexts. Furthermore, future studies should focus on a broader range of employee groups, including non-caring professions as well as individuals working in non-Western countries. (shrink)

Reoccurring instances of unethical employee behavior raises the question of the effectiveness of organization’s employee ethics training programs. This research seeks to examine employee ethics training programs among US-based global organizations by asking members of the Ethics and Compliance Officer Association to describe various elements of their organizations’ ethics training programs. This investigation and assessment reveal that there are some effective aspects of ethics training but five serious concerns are identified and discussed as potential contributions to (...) the lack of ethics among business organizations’ employees. (shrink)

Why focus on reading? Reading is one important human activity that is threatened by the knowledge economy in education. In this perspective, good reading tends to be fast reading. The objective for teachers is then to test pupils' reading skills according to how fast they read. In opposition to this, we think that good reading is a slow activity. A good text asks for a reading and a re-reading, again and again, because reading gives rise to thinking. Thus, you can (...) interpret our writing as a political act. We want to participate in education in a way that opposes the force of a knowledge economy. The aim of this article is to argue why prospective teachers have to train their capability [Ricoeur (2005. The Course of Recognition. Cambridge, MA: Harvard University Press) refers to four basic capabilities. He distinguishes between: the capability to speak, the capability to act, the capability to tell, and a fourth capability called imputation. Reading in this respect is subordinate to these basic capabilities] to read and, based on this, why we insist on this being a matter of necessity in order to develop reading as a reflexive activity, through what we have called ?slow reading? (this expression is meant to oppose the instrumentalization of reading toward a skill characterized as fast extractions of information, for instance, as measured in various tests). This represents one part of the argument that we are going to elaborate. The other part of the argument is related more specifically to the place of reading in the training of teachers, more precisely asking where this ?place? is. This has led us to ask the following question: Where are teachers' understandings challenged in teacher training? As our argument is laid out, we say that the place of reading is where teachers' understandings are challenged. This entails that this ?place,? this somewhere, is not a permanent ?dwelling?; it is rather something which has to be created (repeatedly) in a dynamic relationship between reader (teacher) and text. (shrink)

ABSTRACTThis article introduces the challenges of providing psychological assessments of people seeking asylum in the wake of their reported torture. These challenges invite professionals to consider ontology and epistemology. Critical realism is well-positioned to underlabour for the process of understanding a human rights violation, in which the complainant is both the key, and often sole, witness and claimed victim. For instance, the layered reality of critical realism allows practitioners to use retroduction to describe deeper structures and mechanisms of torture. (...) The judgemental rationality of critical realism allows practitioners to distinguish between competing interpretations of the evidence. Critical realism also avoids both the positivistic assumption that assessors can be value-free; and the relativist social constructionist position that, because assessors cannot av... (shrink)

Cet article décrit et analyse du point de vue de leurs évolutions majeures, les finalités des formations en alternance des maisons familiales rurales, une des principales institutions privées de l’enseignement agricole technique en France. Cette pédagogie de l’alternance est issue du syndicalisme agricole qui a défini les modes d’intervention des agents de formation, appelés les moniteurs. L’alternance, construite au départ contre l’enseignement primaire public, avait pour principal but de restaurer la famille paysanne en tant qu’instance éducative légitime, considérée comme (...) détentrice du monopole de la transmission des savoirs agricoles. Toutefois, à partir des années 1960, cette finalité initiale disparaît. Avec la massification scolaire, les formations en alternance jouent désormais un rôle d’école de la seconde chance oscillant entre une fonction de professionnalisation et une fonction de remédiation scolaire. Au cours d’une troisième période, identifiée à partir des années 1990, au moment de la création des maisons familiales urbaines, ces deux fonctions vont se rejoindre, ce dont témoigne l’évolution du rôle de moniteur : il devient un adulte référent et un « tuteur » pour des jeunes en difficulté se préparant à entrer dans la vie d’adulte. (shrink)

Background Positivism is sometimes rejected for the wrong reasons. Influential textbooks on nursing research and in other disciplines tend to reinforce the misconceptions underlying these rejections. This is problematic, since it provides students of these disciplines with a poor basis for making epistemological and methodological decisions. It is particularly common for positivist views on reality and causation to be obscured. Objectives and design The first part of this discussion paper identifies and explains the misconceptions about positivism as they appear in (...) two influential textbooks. The second part pinpoints five mistakes these misconceptions easily result in when the researcher adopts an epistemological and methodological standpoint. What is already known about the topic? There are several impeccable descriptions of positivism in nursing research literature; but a relatively large number of inaccurate or confused views of positivism appear in the nursing research literature as well. Mistakes of the kind identified in this paper have been noted before—for instance, in Shadish. What this paper adds: This paper provides a detailed analysis of two particularly common and influential misconceptions about positivism. It traces the historical roots of these misconceptions and characterizes them more carefully than many earlier attempts have done. The paper shows how and why these misconceptions affect epistemological and methodological decisions negatively, regardless of one’s interest in positivism. (shrink)

Social justice is a concept we take for granted. We assume that it means using state structures to ensure equality and fairness. But is that true? Or, do state structures of social order actually inhibit creativity, freedom, social welfare, and belonging? This collection broadens the boundaries of the ways we think about what constitutes criminality and interrogates issues of social justice and power in new, innovative and critical ways. The essays examine a wide variety of themes, including the deconstruction of (...) concepts of freedom and equality, notions of criminality and deviance, state regulation of social order, and various aspects of feminist criminology. (shrink)

Learning general concepts in imperfect environments is difficult since training instances often include noisy data, inconclusive data, incomplete data, unknown attributes, unknown attribute values and other barriers to effective learning. It is well known that people can learn effectively in imperfect environments, and can manage to process very large amounts of data. Imitating human learning behavior therefore provides a useful model for machine learning in real-world applications. This paper proposes a new, more effective way to represent imperfect training (...) instances and rules, and based on the new representation, a Human-Like Learning (HULL) algorithm for incrementally learning concepts well in imperfect training environments. Several examples are given to make the algorithm clearer. Finally, experimental results are presented that show the proposed learning algorithm works well in imperfect learning environments. (shrink)

Three experiments with preschool- and young school-aged children (N = 75 and 53) explored the kinds of relations children detect in samples of instances (descriptive problem) and how they generalize those relations to new instances (inferential problem). Each experiment initially presented a perfect biconditional relation between two features (e.g., all and only frogs are blue). Additional examples undermined one of the component conditional relations (not all frogs are blue) but supported another (only frogs are blue). Preschool-aged children did not distinguish (...) between supported and undermined relations. Older children did show the distinction, at least when the test instances were clearly drawn from the same population as the training instances. Results suggest that younger children’s difficulties may stem from the demands of using imperfect correlations for predictions. Older children seemed sensitive to the inferential problem of using samples to make predictions about populations. (shrink)

A number of ways of taxonomizing human learning have been proposed. We examine the evidence for one such proposal, namely, that there exist independent explicit and implicit learning systems. This combines two further distinctions, (1) between learning that takes place with versus without concurrent awareness, and (2) between learning that involves the encoding of instances (or fragments) versus the induction of abstract rules or hypotheses. Implicit learning is assumed to involve unconscious rule learning. We examine the evidence for implicit learning (...) derived from subliminal learning, conditioning, artificial grammar learning, instrumental learning, and reaction times in sequence learning. We conclude that unconscious learning has not been satisfactorily established in any of these areas. The assumption that learning in some of these tasks (e.g., artificial grammar learning) is predominantly based on rule abstraction is questionable. When subjects cannot report the rules that govern stimulus selection, this is often because their knowledge consists of instances or fragments of the training stimuli rather than rules. In contrast to the distinction between conscious and unconscious learning, the distinction between instance and rule learning is a sound and meaningful way of taxonomizing human learning. We discuss various computational models of these two forms of learning. (shrink)

To think up vocational training devices aims at enabling persons to experiment with different situations, at different moments with in-turn periods of training and actual employment. Persons come to “dialogue” with different situations, at different moments, to make sense out of them, to create links between them and thus to build their own apprenticeship. Can this dialogue, this rhythmic training/experience only be observed in the frame of those vocational training devices? Couldn’t this dialogue or this rhythmic (...) be observed on longer periods, beyond the duration of these devices, on a career’s scale for instance? This article tries to transcribe the processing of comprehensive/biographical interviews of four Heads of Catholic primary schools. The processing is based on methods of analysis that use what has been called “sets of training and experience temporalities” Being part of a thesis which aims at highlighting the professional dynamics of this emergent group of Heads, the analysis of this dialogue, this rhythmic training/experience contributes to typify interviews and takes part in the definition of a socio-professional world and in the definition of an identity proper to the Heads who were interviewed. (shrink)

As a theory of skill acquisition, the instance theory of automatization posits that, after a period of training, algorithm‐based performance is replaced by retrieval‐based performance. This theory has been tested using alphabet‐arithmetic verification tasks (e.g., is A + 4 = E?), in which the equations are necessarily solved by counting at the beginning of practice but can be solved by memory retrieval after practice. A way to infer individuals’ strategies in this task was supposedly provided by the opportunistic‐stopping (...) phenomenon, according to which, if individuals use counting, they can take the opportunity to stop counting when a false equation associated with a letter preceding the true answer has to be verified (e.g., A + 4 = D). In this case, such within‐count equations would be rejected faster than false equations associated with letters following the true answers (e.g., A + 4 = F, i.e., outside‐of‐count equations). Conversely, the absence of opportunistic stopping would be the sign of retrieval. However, through a training experiment involving 19 adults, we show that opportunistic stopping is not a phenomenon that can be observed in the context of an alphabet‐arithmetic verification task. Moreover, we provide an explanation of how and why it was wrongly inferred in the past. These results and conclusions have important implications for learning theories because they demonstrate that a shift from counting to retrieval over training cannot be deduced from verification time differences between outside and within‐count equations in an alphabet‐arithmetic task. (shrink)

If you trained someone to emit a particular sound at the sight of something red, another at the sight of something yellow, and so on for other colors, still he would not yet be describing objects by their colors. Though he might be a help to us in giving a description. A description is a representation of a distribution in a space (in that of time, for instance).

If you trained someone to emit a particular sound at the sight of something red, another at the sight of something yellow, and so on for other colors, still he would not yet be describing objects by their colors. Though he might be a help to us in giving a description. A description is a representation of a distribution in a space (in that of time, for instance).

Among the instances of apparent illiberality in Plato's Republic, one stands out as especially curious. Long before making a forced return to the cave, and irrespective of the kinds of compulsion operative in such a homecoming, the philosopher-king has been compelled to apprehend the Good (Rep. VII.519c5-d2, 540a3-7). Why should compulsion be necessary or appropriate in this situation? Schooled intensively through the decades for an eventual grasping of the Good, beginning already with precognitive training in music and art calculated (...) to equip the guardian with a natural affinity towards the good and beautiful (Rep. III.401d3-402a4), the fully mature guardian might be expected to leap towards the Good when it is first opportune. For the Good is, according to Plato, the greatest thing to be learned (megiston mathêma; Rep. VI.504e4-5, 505a2). Reflection on these questions permits us to develop a richer appreciation of the forms of necessitation and compulsion Plato envisages for his guardians, which turn out to be primarily merely hypothetical instances of nomic necessitation. It follows that many of Plato's appeals to compulsion are neither coercive nor objectionably authoritarian. (shrink)

Background Respect is essential to providing high quality healthcare, particularly for groups that are historically marginalized and stigmatized. While ethical principles taught to health professionals focus on patient autonomy as the object of respect for persons, limited studies explore patients’ views of respect. The purpose of this study was to explore the perspectives of a multiculturally diverse group of low-income women living with HIV (WLH) regarding their experience of respect from their medical physicians. Methods We analyzed 57 semi-structured interviews conducted (...) at HIV case management sites in South Florida as part of a larger qualitative study that explored practices facilitating retention and adherence in care. Women were eligible to participate if they identified as African American (n = 28), Hispanic/Latina (n = 22), or Haitian (n = 7). They were asked to describe instances when they were treated with respect by their medical physicians. Interviews were conducted by a fluent research interviewer in either English, Spanish, or Haitian Creole, depending on participant’s language preference. Transcripts were translated, back-translated and reviewed in entirety for any statements or comments about “respect.” After independent coding by 3 investigators, we used a consensual thematic analysis approach to determine themes. Results Results from this study grouped into two overarching classifications: respect manifested in physicians’ orientation towards the patient (i.e., interpersonal behaviors in interactions) and respect in medical professionalism (i.e., clinic procedures and practices). Four main themes emerged regarding respect in provider’s orientation towards the patient: being treated as a person, treated as an equal, treated without blame or prejudice, and treated with concern/emotional support. Two main themes emerged regarding respect as evidenced in medical professionalism: physician availability and considerations of privacy. Conclusions Findings suggest a more robust conception of what ‘respect for persons’ entails in medical ethics for a diverse group of low-income women living with HIV. Findings have implications for broadening areas of focus of future bioethics education, training, and research to include components of interpersonal relationship development, communication, and clinic procedures. We suggest these areas of training may increase respectful medical care experiences and potentially serve to influence persistent and known social and structural determinants of health through provider interactions and health care delivery. (shrink)

We propose a kernel method for using combinations of features across example pairs in learning pairwise classifiers. Pairwise classifiers, which identify whether two examples belong to the same class or not, are important components in duplicate detection, entity matching, and other clustering applications. Existing methods for learning pairwise classifiers from labeled training data are based on string edit distance or common features between two examples. However, if two examples from the same class have few common features, these methods have (...) difficulties in finding these pairs and achieving high recall. One typical example is to check whether two abbreviated author names in different citations refer to the same person or not. Since similarities between examples from the same class become close to zero, classifiers fail to distinguish positive pairs from negative pairs. One approach to avoiding the problem of zero similarities is using conjunctions of different features across examples, but implementing this idea straightforwardly makes the computational cost prohibitive for practical problems. Using a kernel on pair instances, our method can use feature conjunctions across examples without actually doing feature mappings, which are computationally expensive. The kernel is a tensor product of two inner products on the original feature space. The corresponding feature mapping generates conjunctions of features only across the two different examples while that of the conventional polynomial kernel also generates conjunctions of features from the same example, which are irrelevant to pairwise classification and cause deterioration of accuracy. Our experiments on the author matching problem show that this method can give a precision 4 to 8 times higher than that of previous methods at medium recall levels. (shrink)

The clearest instances of Time experience in music can be observed when the melodic and harmonic structure of a work announces the approach to a climax, for example, the finale. A goal is established in the awareness of the listener and acts as an independent system toward which music is striving. Most other examples that come to mind are extra-musical, that is, they refer to music in relation to something outside of it. A listener who instead of moving with the (...) flow of the musical happening remains outside of it and watches the arriving and passing of phrase after phrase as though he were watching a parade from a viewing stand places himself in a separate temporal system whose relation to that of the music itself is governed by Time. Compare also the radio performance scheduled to finish on the hour or the state of mind of a concertgoer anxious to make the 11:20 suburban train home. A literary narrative, like music, tends to be perceived as an ongoing flow. No reference to time is relevant for a description of the sequential action. The work sprouts and grows. But whenever the continuity is broken , the appearances may form separate systems. The only medium that can bridge the gap may be Time, in which both are embedded. This is generally considered a compositional flaw. A skillful narrator avoids such a break by providing a filament that connects past and present appearances "amodally," as psychologists call it, that is, the way a train's progress is seen as remaining uninterrupted even when it is hidden for a moment by a tunnel. But when Time is embodied as an authentic literary character, such as the "devouring Time" of Shakespeare's nineteenth sonnet, which blunts the lion's paws and plucks the tiger's teeth, it becomes an active system of its own and thus deserves the capitalization. Rudolf Arnheim is the author of Art and Visual Perception: A Psychology of the Creative Eye, Toward a Psychology of Art, and The Dynamics of Architectural Form. His contributions to Critical Inquiry are "On the Nature of Photography" and "A Plea for Visual Thinking". (shrink)

Physicians are trained to an expert degree in the scientific knowledge and skills of biomedicine. Despite this training, however, physicians’ professional lives are rife with instances in which they do not know. They must operate adeptly in the face of numerous uncertainties, as the extensiveness of the scientific literature, unknown mechanisms of pharmaceuticals or biological processes, and variations in patients’ etiologies and anatomies render it impossible to know everything. Similarly, physicians study vast swaths of scientific concepts and clinical skills (...) throughout their careers, yet individual physicians cannot commit all that biomedical knowledge to memory. Given the impossibility of absolute knowledge... (shrink)

This book examines the concept of meaning and our general understanding of reality in a legal and philosophical context. Starting from the premise that meaning is a matter of linguistic and other forms of articulation, it considers the inherent philosophical consequences. Part I presents Klages', Derrida's, Von Hofmannsthal's and Wittgenstein's explorations of silence as a source of articulation and meaning. Debates about 20th century psychologism gave the attitude concept a pivotal role; it illustrates the importance of the discovery that a (...) word is globally qualified as 'the basic unit of language'. This is mirrored in the fact that we understand reality as a matter of particles and thus interpret the real as a component of an all-embracing 'particle story'. Each chapter of the book focuses on an aspect of legal semiotics related to the chapter's theme: for instance on the meaning of a Judge's 'Saying for Law', on law students training in varying attitudes or on the ties between law and language. Part II of the book illustrates our general understanding of reality as a matter of particles and partitioning, and examines texts that prove that particle thinking is basic for our meaning concept. It shows that physics, quantum theory, holism, and modern brain research focusing on human linguistic capabilities, confirm their ties to the particle story. In contrast, the book concludes that partitions and particles are neither a fact in the history of the cosmos nor a determinant of knowledge and the sciences, and that meaning is a process: a constellation rather than a fixation. This is manifest once one understands meaning as the result of continuously changing attitudes, which create our narratives on cosmos and creation. The book proposes a new key for meaning: a linguistic occurrence anchored in dimensions of human narrativity. (shrink)

This book describes how one can use The Scientific Method to solve everyday problems including medical ailments, health issues, money management, traveling, shopping, cooking, household chores, etc. It illustrates how to exploit the information collected from our five senses, how to solve problems when no information is available for the present problem situation, how to increase our chances of success by redefining a problem, and how to extrapolate our capabilities by seeing a relationship among heretofore unrelated concepts.One should formulate a (...) hypothesis as early as possible in order to have a sense of direction regarding which path to follow. Occasionally, by making wild conjectures, creative solutions can transpire. However, hypotheses need to be well-tested. Through this way, The Scientific Method can help readers solve problems in both familiar and unfamiliar situations. Containing real-life examples of how various problems are solved — for instance, how some observant patients cure their own illnesses when medical experts have failed — this book will train readers to observe what others may have missed and conceive what others may not have contemplated. With practice, they will be able to solve more problems than they could previously imagine.In this second edition, the authors have added some more theories which they hope can help in solving everyday problems. At the same time, they have updated the book by including quite a few examples which they think are interesting. (shrink)

This paper focusses on our concerns about revelations about sexual harassment in universities and the inadequate responses whereby some universities seem more concerned about their own reputations than the care and protection of their students. Seldom do cases go to criminal court, instead they mostly fall within employment relations policies where the use of non-disclosure agreements are double edged, such that some perpetrators remain nameless even if the person offended against wants details made public. Of course if the staff member (...) does not resign or take retirement prior to potential dismissal, but remains in the institution, the grapevine still works. Universities too often become complicit in cover-ups at the expense of further potential victims of sexual misconduct. It has been with much dismay that we found that despite extensive training and writing about ethics some senior professors in philosophy fields have been accused and found wanting, disabusing us of the virtue assumption. Despite these recent instances where perpetrators have been named and been publicised in the media, we found that this is not in fact new, so not only does the paper look to the past, but also extensively it uses contemporary accounts, reports and documents from USA, UK, South America, Australia, and New Zealand. These seem to be the tip of the iceberg, so our hope is that all students and staff in universities (and in fact all institutions where there are inherent power imbalances) will not only feel safe, but that they will be safe as universities become genuinely ethical institutions. (shrink)

A number of ways of taxonomizing human learning have been proposed. We examine the evidence for one such proposal, namely, that there exist independent explicit and implicit learning systems. This combines two further distinctions, between learning that takes place with versus without concurrent awareness, and between learning that involves the encoding of instances versus the induction of abstract rules or hypotheses. Implicit learning is assumed to involve unconscious rule learning. We examine the evidence for implicit learning derived from subliminal learning, (...) conditioning, artificial grammar learning, instrumental learning, and reaction times in sequence learning. We conclude that unconscious learning has not been satisfactorily established in any of these areas. The assumption that learning in some of these tasks is predominantly based on rule abstraction is questionable. When subjects cannot report the “implicitly learned” rules that govern stimulus selection, this is often because their knowledge consists of instances or fragments of the training stimuli rather than rules. In contrast to the distinction between conscious and unconscious learning, the distinction between instance and rule learning is a sound and meaningful way of taxonomizing human learning. We discuss various computational models of these two forms of learning. (shrink)

Degrees of belief are familiar to all of us. Our confidence in the truth of some propositions is higher than our confidence in the truth of other propositions. We are pretty confident that our computers will boot when we push their power button, but we are much more confident that the sun will rise tomorrow. Degrees of belief formally represent the strength with which we believe the truth of various propositions. The higher an agent’s degree of belief for a particular (...) proposition, the higher her confidence in the truth of that proposition. For instance, Sophia’s degree of belief that it will be sunny in Vienna tomorrow might be .52, whereas her degree of belief that the train will leave on time might be .23. The precise meaning of these statements depends, of course, on the underlying theory of degrees of belief. These theories offer a formal tool to measure degrees of belief, to investigate the relations between various degrees of belief in different propositions, and to normatively evaluate degrees of belief. (shrink)

This beautiful introduction to art and language features some of the world's most beloved masterpieces as it entices children to discover art, language, objects, and colors. First pictures, first words--this familiar and time-proven book concept for young children is incorporated brilliantly in this multi-lingual art book. The works of Renoir, Kandinsky, Dürer, Rousseau, Franz Marc, and others are featured in beautiful full-page reproductions. Opposite each image is a word that helps describe the painting--for instance "play," "bunny," "horse," "train." The (...) words are presented in twelve different languages, each with their phonetic pronunciation. Organized thematically, the book touches on a child's everyday experience through simple and comforting images that will invite further investigation: What are the men playing with? What does the bunny's fur feel like? How many teddy bears do you see? Together adults and children can explore great works, planting the seeds for an appreciation of the world's masterpieces and the words to describe them."--Publisher's description. (shrink)

This paper discusses the role that the personal history plays in a patient’s perception of his or her own illness in the light of the patient’s own personal history. It demonstrates the regrettable modern tendency to regards the patient as the “bearer of a disease” rather than as a human being with personal values and experiences into which their current illness needs to be integrated. I illustrate my point by an exchange between a student and an “attending” and the “attending” (...) and the patient. It represents only one out of unfortunately many such instances in which the pressures of “managed care” and “efficiency” have made truly knowing the patient as an individual with life experiences and personal values much more difficult. (shrink)

How can one build AI systems such that they pursue the goals their designers want them to pursue? This is the alignment problem. Numerous authors have raised concerns that, as research advances and systems become more powerful over time, misalignment might lead to catastrophic outcomes, perhaps even to the extinction or permanent disempowerment of humanity. In this paper, I analyze the severity of this risk based on current instances of misalignment. More specifically, I argue that contemporary large language models and (...) game-playing agents are sometimes misaligned. These cases suggest that misalignment tends to have a variety of features: misalignment can be hard to detect, predict and remedy, it does not depend on a specific architecture or training paradigm, it tends to diminish a system’s usefulness and it is the default outcome of creating AI via machine learning. Subsequently, based on these features, I show that the risk of AI alignment magnifies with respect to more capable systems. Not only might more capable systems cause more harm when misaligned, aligning them should be expected to be more difficult than aligning current AI. (shrink)

Retractions have traditionally been reserved for correcting the scientific record and discouraging research misconduct. Nonetheless, the potential for actual societal harm resulting from accurately reported published scientific findings, so-called information hazards, has been the subject of several recent article retractions. As these instances increase, the extent of support for such decisions among the scientific community and lay public remains unclear. Undergraduates (Study 1) and federally funded researchers (Study 2) reported their support for retraction decisions described as due to misconduct, honest (...) errors, or potential information hazards. Participants supported retraction on the former two grounds more than the latter. Despite limited support, women remained more receptive to retractions based on information hazards. Activist tendencies additionally predicted undergraduate men’s receptivity. Receptivity toward retraction due to information hazards was unrelated to scientists’ engagement in activism, suggesting that formal scientific training affords researchers an ability to separate personal and professional values in scientific discourse. Findings could inform the development of educational materials that may aid less experienced scientists and the lay public in understanding retraction ethics. (shrink)

The increased incidences of academic misconduct in universities are compromising the reputation of higher education in Australia and increasing the work of academics responsible for the delivery of quality learning outcomes to students. Confronted with increasing instances of academic dishonesty in university classrooms, universities play a pivotal role in ensuring their academic staff are well-equipped with academic integrity knowledge. It is therefore important to understand academic staff perspectives about the training their workplaces could provide them on academic integrity. Specifically, (...) this qualitative case study explores the opinions and perceptions of sessional or casual university academic staff on what content they would like to know about academic integrity, and how this knowledge could best be delivered to them. The study found that participants were genuinely interested in furthering their understanding of academic integrity issues, particularly in the areas of contract cheating, effective use of plagiarism detection tools, and developing a toolkit of skills that they could use to detect and deter plagiarism. In terms of the delivery of academic integrity training programs, webinars and orientation sessions were suggested as effective delivery mechanisms. Imparting knowledge about the content areas through the identified delivery mechanisms could enhance teaching faculty’s understanding of student academic dishonesty and how to curb this behaviour proactively. (shrink)