Reviews the book, Learning from Asian philosophy by Joel J. Kupperman . In this excellent and tremendously informative book, Kupperman adopts a significantly different tack by showing that many important Eastern texts ought not be considered merely examples of “wisdom literature,” but rather are genuinely significant philosophical texts, structured with carefully thought-out and insightful arguments. Throughout his well-written and accessible treatment, the author takes great pains to demonstrate the many substantive ways in which contemporary philosophers might employ Asian thinking (...) as they grapple with some of the most pressing intellectual questions of our day. 2012 APA, all rights reserved). (shrink)

Reviews the book, The dream of reason: A history of philosophy from the Greeks to the Renaissance by Anthony Gottlieb . Seldom in the history of histories—particularly histories of philosophy—have there been authors capable of producing accessible, entertaining, insightful, and accurate treatments of their subject matter. An unfailingly pleasant read, Gottlieb’s history shows how many of philosophy’s most revolutionary breakthroughs have consistently been co-opted by other branches of learning, leading to the unfortunate illusion that philosophers never make any progress. (...) 2012 APA, all rights reserved). (shrink)

This paper examines whether having school students repeat a year improves their performance, focusing on learning English as a foreign language. It takes students’ English examination results from five years from a Chinese‐medium school, together with data on their learning styles and learning strategies. Drawing on local cultural and pedagogic factors, the study finds that repeating a year, far from improving scores, homogenizes the results of males and females, and, while finding a small but statistically insignificant rise (...) in the scores of females, is detrimental to the performance of males. Repeating a year either makes no difference or a negative difference to results. It is suggested that repeating a year reproduces, sharpens and potentiates gender differences in learning and performing in English as a foreign language, and that repeating a year is the medium and outcome of gender inequality. Implications are drawn for practice. (shrink)

Objective: Mindfulness-based intervention has been proposed to alleviate loneliness and improve social connectedness. Several randomized controlled trials have been conducted to evaluate the effectiveness of MBI. This study aimed to critically evaluate and determine the effectiveness and safety of MBI in alleviating the feeling of loneliness.Methods: We searched Medline, Embase, PsycInfo, Cochrane CENTRAL, and AMED for publications from inception to May 2020. We included RCTs with human subjects who were enrolled in MBI with loneliness as an outcome. The quality of (...) evidence was assessed using Cochrane's Risk of Bias tool and Grading of Recommendations Assessment, Development, and Evaluation. A random-effects model was used for meta-analysis.Results: Out of 92 articles identified, eight studies involving 815 participants were included in this study. Most trials conducted a minimum of 8 weeks of MBI. Most of the trials used UCLA-Loneliness Scale. A pooled analysis combining three trials and compared with wait-list showed significant improvement in loneliness score reduction using the UCLA-R scale with MD of −6.33 [95% confidence interval : −9.39, −3.26]. Subgroup analysis with only two Cognitively-Based Compassion Training trials also showed similar MD of −6.05. The overall quality of evidence was low.Conclusions: Mindfulness intervention with an average length of 8-week duration significantly improved the population's loneliness level with no mental health issue. However, this evidence had a low GRADE level. (shrink)

This article examines the issue of whether consideration of so-called minimal models can prompt learning about real-world targets. Using a widely cited example as a test case, it argues against the increasingly popular view that consideration of minimal models can prompt learning about such targets. The article criticizes influential defenses of this view for failing to explicate by virtue of what properties or features minimal models supposedly prompt learning. It then argues that consideration of minimal models cannot (...) prompt learning about real-world targets unless one supplements these models with additional information or presuppositions concerning such targets. (shrink)

I claim that the significance of comic works to influence our attitudes is limited by the conditions under which we find things funny. I argue that we can only find something funny if we regard it as norm-violating in a way that doesn’t make certain cognitive or pragmatic demands upon us. It is compatible with these conditions that humour reinforces our attitude that something is norm-violating. However, it is not compatible with these conditions that, on the basis of finding it (...) funny, we come to reject some existing attitude. Such a rejection would require that we recognize our attitude as norm-violating in a way that has pragmatic force. Thus if a humorous work reveals the absurdity of something, we can either find it funny and not have our attitudes significantly influenced, or else be significantly influenced but not find it funny. (shrink)

This paper examines Augustine’s views on language, learning, and testimony in De Magistro. It is often held that, in De Magistro, Augustine is especially concerned with explanatory understanding (a complex cognitive state characterized by its synoptic nature and awareness of explanatory relations) and that he thinks testimony is deficient in imparting explanatory understanding. I argue against this view and give a clear analysis of the different kinds of cognitive state Augustine is concerned with and a careful examination of his (...) arguments concerning the deficiencies of testimony in producing these cognitive states. (shrink)

Procedural justifications of democracy emphasize inclusiveness and respect and by doing so come into conflict with instrumental justifications that depend on voters’ competence. This conflict raises questions about jury theorems and makes their standing in democratic theory contested. We show that a type of no-regret learning called meta-induction can help to satisfy the competence assumption without excluding voters or diverse opinion leaders on an a priori basis. Meta-induction assigns weights to opinion leaders based on their past predictive performance to (...) determine the level of their inclusion in recommendations for voters. The weighting minimizes the difference between the performance of meta-induction and the best opinion leader in hindsight. The difference represents the regret of meta-induction whose minimization ensures that the recommendations are optimal in supporting voters’ competence. Meta-induction has optimal truth-tracking properties that support voters’ competence even if it is targeted by mis/disinformation and should be considered a tool for supporting democracy in hyper-plurality. (shrink)

The no-free-lunch theorems promote a skeptical conclusion that all possible machine learning algorithms equally lack justification. But how could this leave room for a learning theory, that shows that some algorithms are better than others? Drawing parallels to the philosophy of induction, we point out that the no-free-lunch results presuppose a conception of learning algorithms as purely data-driven. On this conception, every algorithm must have an inherent inductive bias, that wants justification. We argue that many standard (...) class='Hi'>learning algorithms should rather be understood as model-dependent: in each application they also require for input a model, representing a bias. Generic algorithms themselves, they can be given a model-relative justification. (shrink)

Much recent research on child language has been inspired by linguistic principles uncovered by linguists working in the generative framework. Developmental psycholinguists have demonstrated young children’s mastery of a variety of linguistic principles; mostly syntactic principles, but also some semantic principles. The present paper contributes to research on the acquisition of semantics by presenting the findings of a new experiment designed to investigate young children’s knowledge of downward entailment, which is a basic semantic property of Universal Grammar. Section 2 describes (...) how downward entailing operators work in natural languages. Section 3 addresses the issue of how a child could master the complex behavior displayed by downward entailing operators across natural languages. That section also reviews the findings of previous research on children’s knowledge of downward entailment. Section 4 presents the new experiment which was designed to investigate whether children’s knowledge of downward entailment extends to one of its logical properties, as illustrated by one of De Morgan’s laws. Section 5 offers some brief remarks on future research. (shrink)

Dual process accounts of affective learning state that the learning of likes and dislikes reflects a learning mechanism that is distinct from the one reflected in expectancy learning, the learning of signal relationships, and has different empirical characteristics. Affective learning, for example, is said not to be affected by: (a) extinction training; (b) occasion setting; (c) cue competition; and (d) awareness of the CS-US contingencies. These predictions were tested in a series of experiments that (...) employed simple Pavlovian conditioning procedures. Neutral visual pictures of geometric shapes, or tactile conditional stimuli (CS) were paired with aversive electrotactile unconditional stimuli (US). Dependent measures were physiological (skin conductance, blink startle modulation) or verbal (US expectancy, on-line and off-line ratings of CS pleasantness). Different combinations of these dependent measures were employed across different experiments in an attempt to assess affective and expectancy learning simultaneously. Changes in CS pleasantness as indexed by ratings or blink startle modulation were readily observed. However, contrary to the predictions from dual-process accounts, results indicated that acquired CS unpleasantness is subject to extinction, occasion setting, cue competition, and not found in absence of CS-US contingency awareness. (shrink)

Learning a deep structure representation for complex information networks is a vital research area, and assessing the quality of stereoscopic images or videos is challenging due to complex 3D quality factors. In this paper, we explore how to extract effective features to enhance the prediction accuracy of perceptual quality assessment. Inspired by the structure representation of the human visual system and the machine learning technique, we propose a no-reference quality assessment scheme for stereoscopic images. More specifically, the statistical (...) features of the gradient magnitude and Laplacian of Gaussian responses are extracted to form binocular quality-predictive features. After feature extraction, these features of distorted stereoscopic image and its human perceptual score are used to construct a statistical regression model with the machine learning technique. Experimental results on the benchmark databases show that the proposed model generates image quality prediction well correlated with the human visual perception and delivers highly competitive performance with the typical and representative methods. The proposed scheme can be further applied to the real-world applications on video broadcasting and 3D multimedia industry. (shrink)

Negative compatibility effects in the masked-prime paradigm are usually obtained when primes are masked effectively. With ineffective masks—and primes above the perceptual threshold—positive compatibility effects occur. We investigated whether this pattern reflects a causal relationship between conscious awareness and low-level motor control, or whether it reflects the fact that both are affected in the same way by changes in physical stimulus attributes. In a 5-session perceptual learning task, participants learned to consciously identify masked primes. However, they showed unaltered NCEs (...) that were not different from those produced by participants in a control group without equivalent perceptual learning. A control experiment demonstrated that no NCEs occur when prime identification is made possible by ineffective masking. The results suggest that perceptual awareness and low-level motor control are affected by the same factors, but are fundamentally independent of each other. (shrink)

Ravit Dotan argues that a No Free Lunch theorem from machine learning shows epistemic values are insufficient for deciding the truth of scientific hypotheses. She argues that NFL shows that the best case accuracy of scientific hypotheses is no more than chance. Since accuracy underpins every epistemic value, non-epistemic values are needed to assess the truth of scientific hypotheses. However, NFL cannot be coherently applied to the problem of theory choice. The NFL theorem Dotan’s argument relies upon is a (...) member of a family of theorems in search, optimization, and machine learning. They all claim to show that if no assumptions are made about a search or optimization problem or learning situation, then the best case performance of an algorithm is that of random search or random guessing. A closer inspection shows that these theorems all rely upon assigning uniform probabilities over problems or learning situations, which is just the Principle of Indifference. A counterexample can be crafted that shows that NFL cannot be coherently applied across different descriptions of the same learning situation. To avoid this counterexample, Dotan needs to privilege some description of the learning situation faced by scientists. However, this means that NFL cannot be applied since an important assumption about the problem is being made. So Dotan faces a dilemma: either NFL leads to incoherent best-case partial beliefs or it is inapplicable to the problem of theory choice. This negative result has implications for the larger debate over theory choice. (shrink)

Background: Recently, attention has grown toward cerebellar neuromodulation in motor learning using transcranial direct current stimulation. An important point of discussion regarding this modulation is the optimal timing of tDCS, as this parameter could significantly influence the outcome. Hence, this study aimed to investigate the effects of the timing of cerebellar anodal tDCS on motor learning using a sequential finger-tapping task.Methods: One hundred and twenty two healthy young, right-handed subjects were randomized into four groups. They performed 2 days (...) of FTT with their non-dominant hand on a custom keyboard. The task consisted of 40 s of typing followed by 20 s rest. Each participant received ca-tDCS at the appropriate timing and performed 20 trials on the first day. On the following day, only 10 trials of FTT were performed without tDCS. Motor skill performance and retention were assessed.Results: All participants showed a time-dependent increase in learning. Motor performance was not different between groups at the end of T1. ca-tDCS did not facilitate the retention of the motor skill in the FTT at T2. Thus, our findings indicate an absence of the effect of ca-tDCS on motor performance or retention of the FTT independently from the timing of stimulation.Conclusion: The present results suggest that the outcome of ca-tDCS is highly dependent on the task and stimulation parameters. Future studies need to establish a clear basis for the successful and reproducible clinical application of ca-tDCS. (shrink)

Much recent research on child language has been inspired by linguistic principles uncovered by linguists working in the generative framework. Developmental psycholinguists have demonstrated young children’s mastery of a variety of linguistic principles; mostly syntactic principles, but also some semantic principles. The present paper contributes to research on the acquisition of semantics by presenting the findings of a new experiment designed to investigate young children’s knowledge of downward entailment, which is a basic semantic property of Universal Grammar. Section 2 describes (...) how downward entailing operators work in natural languages. Section 3 addresses the issue of how a child could master the complex behavior displayed by downward entailing operators across natural languages. That section also reviews the findings of previous research on children’s knowledge of downward entailment. Section 4 presents the new experiment which was designed to investigate whether children’s knowledge of downward entailment extends to one of its logical properties, as illustrated by one of De Morgan’s laws. Section 5 offers some brief remarks on future research. (shrink)

Native and to some extent non-native speakers have shown processing advantages for idioms compared to novel literal phrases, and there is limited evidence that this advantage also extends to memory in L1 children. This study investigated whether these advantages generalize to recognition memory in adults. It employed a learning paradigm to test whether there is a recognition memory advantage for idioms compared to literal phrases in adult L1 and L2 learners considering both form and meaning recognition. Additionally, we asked (...) whether the presence of unfamiliar vocabulary interferes with phrasal learning by looking at recall of such unfamiliar words. When encountering new idioms, L2 learners often must cope with both figurative meaning and unfamiliar vocabulary. While single word meaning need not interfere with idiomatic meaning, it is a building block for the meaning of literal phrases. In Experiment 1, L2 learners showed equal recall for the form and meaning of literal and idiomatic phrases in which either all words were highly familiar, or one word was unfamiliar. However, unfamiliar words decreased overall recognition and were also remembered significantly better in literal compared to idiomatic phrases. In Experiment 2, L1 speakers also showed no recall differences between phrase types, but they displayed a trending increase in recognition in the presence of unfamiliar words. We conclude that there is no inherent recognition memory advantage for idioms based on figurativeness alone, and word- and phrasal meaning interact differently in learner groups. (shrink)

No-free-lunch theorems are important theoretical result in the fields of machine learning and artificial intelligence. Researchers in this fields often claim that the theorems are based on Hume’s argument about induction and represent a formalisation of the argument. This paper argues that this is erroneous but that the theorems correspond to and formalise Goodman’s new riddle of induction. To demonstrate the correspondence among the theorems and Goodman’s argument, a formalisation of the latter in the spirit of the former is (...) sketched. (shrink)

ML-HCAs have the potential to significantly change an entire healthcare system. It is not even necessary to presume that this will be disruptive but sufficient to assume that the mere adaptation of...

"Make your own Bible. Select and collect all the words and sentences that in all your readings have been to you like the blast of a trumpet." -Ralph Waldo Emerson We have all come across a sentence in a book or a line of poetry that seems to jump off the page as if it has been patiently waiting for you to discover it in this precise instant. At times, the lyrics of a song or words spoken in a play (...) can feel as if God is speaking directly to you, guiding you on your quest for truth and authenticity in this weird and wonderful life. (shrink)

The legalisation of euthanasia creates a certain tension when it is compared with those traditional medical principles that seem to embody respect for the sanctity of life. It also creates a real need for us to explore what we mean by harm in relation to dying patients. When we consider that we must train physicians so that they not only understand ethical issues but also show the virtues in their clinical practice, it becomes important for us to strive to train (...) them in virtue rather than mere knowledge. We can only do this by conveying a real sense of the needs of the patient and an ability to relate to patients as people not problems. Such attitudes take shape in a training programme in which practical situations are explored and discussed and the limits of scientific medical responses to those challenges are exposed. Keywords: bioethics education, euthanasia, moral judgment, training, virtue CiteULike Connotea Del.icio.us What's this? (shrink)

The debate on scientific realism has raged among philosophers of science for decades. The scientific realist's claim that science aims to give us a literally true description of the way things are, has come under severe scrutiny and attack by Bas van Fraassen's constructive empiricism. All science aims at is to save the observable phenomena, according to van Fraassen. Scientific realists have faced since a main sceptical challenge: the burden is on them to prove that the entities postulated by our (...) scientific theories are real and that science is still in the ‘truth’ business. (shrink)

Perceptual learning involves an improvement in perceptual judgment with practice, which is often specific to stimulus or task factors. Perceptual learning has been shown on a range of visual tasks but very little research has explored chromatic perceptual learning. Here, we use two low level perceptual threshold tasks and a supra-threshold target detection task to assess chromatic perceptual learning and category effects. Experiment 1 investigates whether chromatic thresholds reduce as a result of training and at what (...) level of analysis learning effects occur. Experiment 2 explores the effect of category training on chromatic thresholds, whether training of this nature is category specific and whether it can induce categorical responding. Experiment 3 investigates the effect of category training on a higher level, lateralized target detection task, previously found to be sensitive to category effects. The findings indicate that performance on a perceptual threshold task improves following training but improvements do not transfer across retinal location or hue. Therefore, chromatic perceptual learning is category specific and can occur at relatively early stages of visual analysis. Additionally, category training does not induce category effects on a low level perceptual threshold task, as indicated by comparable discrimination thresholds at the newly learned hue boundary and adjacent test points. However, category training does induce category effects on a supra-threshold target detection task. Whilst chromatic perceptual learning is possible, learnt category effects appear to be a product of left hemisphere processing, and may require the input of higher level linguistic coding processes in order to manifest. (shrink)

You can find countless books dedicated to student success and resilience. But what about the faculty? What do we do to help college faculty cultivate their professional and personal growth and resilience? During more than three decades as a teacher and workshop facilitator, Steve Piscitelli noticed that many educators can become isolated from their colleagues and their larger institutional culture. They become "islands" disconnected from the potential power of the teaching and learning community. That isolation can affect teaching efficacy (...) and resilience. To encourage educators to embrace the power of collaboration, Piscitelli outlines the "7Rs" for success: relationships, relevance, resources, rainbows, responsibility, reflection, and resilience. He created thirty-seven scenarios, based on real life issues. Each shows how to apply these seven themes to better adapt to professional and personal challenges educators face. The scenarios raise questions about the classroom, work-life integration, collaboration with coworkers, and interpersonal relationships with supervisors. Every teaching and learning situation-every one-gives us the opportunity to take stock of and strengthen our own resilience level. And we do not have to do it alone. That is the beauty of our calling! And that is the strength of this book. It recognizes the power of a collegial teaching and learning community. Piscitelli supplements the information and scenarios with links to brief thought-provoking videos (approximately sixty seconds each) that encapsulate major themes and discussion points. More information at www.stevepiscitelli.com. I think it's brilliant. I often feel like I'm on an island as a professor. -Ashli Archer, Professor I like how you let people know that even though you have developed a table of contents, they might want to skip around. The flexibility will be very appealing.-Erin Hoag, VP of Financial Services and Strategic Development, Innovative Educators This book will be a welcome resource! -Todd Stanislav, Director, Faculty Center for Teaching and Learning Wow, you are covering some controversial topics! This book is going to be different and invaluable!-Pam Ranallo, Co-Owner, Innovative Educators Your scenario addressing the issue of favoritism vs. jealousy demonstrates amazing insight and ability to address the "hard" topics. Bravo!-Karen Armstrong, Career Counselor I think this is a wonderful idea and have never seen anything along these lines before!-Mary Boone Treuting, Director of Center for Academic Success and the Center for Teaching Excellence. (shrink)

Recent studies show that returning global health trainees often report having felt inadequately prepared to deal with ethical dilemmas they encountered during outreach clinical work. While global health training guidelines emphasize the importance of developing ethical and cultural competencies before embarking on fieldwork, their practical implementation is often lacking and consists mainly of recommendations regarding professional behavior and discussions of case studies. Evidence suggests that one of the most effective ways to teach certain skills in global health, including ethical and (...) cultural competencies, is through service learning. This approach combines community service with experiential learning. Unfortunately, this approach to global health ethics training is often unattainable due to a lack of supervision and resources available at host locations. This often means that trainees enter global health initiatives unprepared to deal with ethical dilemmas, which has the potential for adverse consequences for patients and host institutions, thus contributing to growing concerns about exploitation and “medical tourism.” From an educational perspective, exposure alone to such ethical dilemmas does not contribute to learning, due to lack of proper guidance. We propose that the tension between the benefits of service learning on the one hand and the respect for patients’ rights and well-being on the other could be resolved by the application of a simulation-based approach to global health ethics education. (shrink)

Open peer commentary on the article “Heterarchical Reflexive Conversational Teaching and Learning as a Vehicle for Ethical Engineering Curriculum Design” by Philip Baron. Upshot: Philip Baron focuses on changing university curricula in South Africa to enable students to succeed who do not share the culture, expectations, and experience of their teachers. With increasing need and desire for more education worldwide, his article is relevant to university education in all countries, especially in those with underserved populations. This commentary focuses on (...) the factors Baron describes which can be generalized to all university education. (shrink)

Deep learning is currently the most prominent and widely successful method in artificial intelligence. Despite having played an active role in earlier artificial intelligence and neural network research, philosophers have been largely silent on this technology so far. This is remarkable, given that deep learning neural networks have blown past predicted upper limits on artificial intelligence performance—recognizing complex objects in natural photographs and defeating world champions in strategy games as complex as Go and chess—yet there remains no universally (...) accepted explanation as to why they work so well. This article provides an introduction to these networks as well as an opinionated guidebook on the philosophical significance of their structure and achievements. It argues that deep learning neural networks differ importantly in their structure and mathematical properties from the shallower neural networks that were the subject of so much philosophical reflection in the 1980s and 1990s. The article then explores several different explanations for their success and ends by proposing three areas of inquiry that would benefit from future engagement by philosophers of mind and science. (shrink)

(2004). Workplace Learning in America: Shifting roles of households, schools and firms. Educational Philosophy and Theory: Vol. 36, No. 5, pp. 563-577.

Mitchell et al. contend that there is no need to posit a contribution based on the formation of associative links to human learning. In order to sustain this argument, they have ignored evidence which is difficult to explain with propositional accounts; and they have mischaracterised the evidence they do cite by neglecting features of these experiments that contradict a propositional account.

In typical statistical learning studies, researchers define sequences in terms of the probability of the next item in the sequence given the current item (or items), and they show that high probability sequences are treated as more familiar than low probability sequences. Existing accounts of these phenomena all assume that participants represent statistical regularities more or less as they are defined by the experimenters—as sequential probabilities of symbols in a string. Here we offer an alternative, or possibly supplementary, hypothesis. (...) Specifically, rather than identifying or labeling individual stimuli discretely in order to predict the next item in a sequence, we need only assume that the participant is able to represent the stimuli as evincing particular similarity relations to one another, with sequences represented as trajectories through this similarity space. We present experiments in which this hypothesis makes sharply different predictions from hypotheses based on the assumption that sequences are learned over discrete, labeled stimuli. We also present a series of simulation models that encode stimuli as positions in a continuous two‐dimensional space, and predict the next location from the current location. Although no model captures all of the data presented here, the results of three critical experiments are more consistent with the view that participants represent trajectories through similarity space rather than sequences of discrete labels under particular conditions. (shrink)

The article conceptualizes the term Pedagogy of Fear as the master narrative of educational systems around the world. Pedagogy of Fear stunts the active and vital educational growth of the young person, making him/her passive and dependent upon external disciplinary sources. It is motivated by fear that prevents young students—as well as teachers—from dealing with the great existential questions that relate to the essence of human beings. One of the techniques of the Pedagogy of Fear is the internalization of the (...) view that without evaluation and assessment we cannot know a child’s level or “worth”—and therefore are unable to help him/her if he is “slow in learning.” In contrast, Philosophy for/with Children offers a space for addressing existential questions, some of which deal with urgent social issues. The willingness to make philosophy inquiry an alternative already from an early age seeks to allow the child to challenge him/herself with new and fresh questions. Philosophy for/with Children does not regard children as a “space of lack” (experience, knowledge, values, etc.) The new and fresh philosophical perspective of children demands the presence of a willingness to engage in dialogue and rejection of the fear of the innocent and deep questions of philosophy. Shaking free of the Pedagogy of Fear and restoring honor to children’s questions demands a fundamental conceptual change within education. The replacement of existential certainty as it is depicted by adults in the existing education system with an existential question is a heavy intellectual task that in most cases is viewed as subversive—primarily on the part of the adult. It demands a return to starting points and a willingness to allow children a free and safe educational space in which to ground preliminary and fertile questions about themselves, their lives, their environment, and, most of all, the changing world they discover with the form of originality that is right for them. (shrink)

This is a response to the nine commentaries on our target article “Unlimited Associative Learning: A primer and some predictions”. Our responses are organized by theme rather than by author. We present a minimal functional architecture for Unlimited Associative Learning that aims to tie to together the list of capacities presented in the target article. We explain why we discount higher-order thought theories of consciousness. We respond to the criticism that we have overplayed the importance of learning (...) and underplayed the importance of spatial modelling. We decline the invitation to add a negative marker to our proposed positive marker so as to rule out consciousness in plants, but we nonetheless maintain that there is no positive evidence of consciousness in plants. We close by discussing how UAL relates to development and to its material substrate. (shrink)

In this concise book based on his Arne Ryde Lectures in 2002, Young suggests a conceptual framework for studying strategic learning and highlights theoretical developments in the area. He discusses the interactive learning problem; reinforcement and regret; equilibrium; conditional no-regret learning; prediction, postdiction, and calibration; fictitious play and its variants; Bayesian learning; and hypothesis testing. Young's framework emphasizes the amount of information required to implement different types of learning rules, criteria for evaluating their performance, and (...) alternative notions of equilibrium to which they converge. He also stresses the limits of what can be achieved: for a given type of game and a given amount of information, there may exist no learning procedure that satisfies certain reasonable criteria of performance and convergence. In short, Young has provided a valuable primer that delineates what we know, what we would like to know, and the limits of what we can know, when we try to learn about a system that is composed of other learners. (shrink)

It has been argued that some recent experimental findings about the mere exposure effect can be used to argue for aesthetic antirealism: the view that there is no fact of the matter about aesthetic value. The aim of this paper is to assess this argument and point out that this strategy, as it stands, does not work. But we may still be able to use experimental findings about the mere exposure effect in order to engage with the aesthetic realism/antirealism debate. (...) However, this argument would need to proceed very differently and would only support a much more modest version of aesthetic antirealism. (shrink)

Perceptual experiences are not immediately responsive to reasons. You see a stick submerged in a glass of water as bent no matter how much you know about light refraction. Due to this isolation from reasons, perception is traditionally considered outside the scope of epistemic evaluability as justified or unjustified. Is perception really as independent from reasons as visual illusions make it out to be? I argue no, drawing on psychological evidence from perceptual learning. The flexibility of perceptual learning (...) is a way of responding to new epistemic reasons. The resulting perceptual experiences are epistemically evaluable as justified or unjustified. (shrink)

This paper is concerned with learners who aim to learn patterns in infinite binary sequences: shown longer and longer initial segments of a binary sequence, they either attempt to predict whether the next bit will be a 0 or will be a 1 or they issue forecast probabilities for these events. Several variants of this problem are considered. In each case, a no-free-lunch result of the following form is established: the problem of learning is a formidably difficult one, in (...) that no matter what method is pursued, failure is incomparably more common that success; and difficult choices must be faced in choosing a method of learning, since no approach dominates all others in its range of success. In the simplest case, the comparison of the set of situations in which a method fails and the set of situations in which it succeeds is a matter of cardinality (countable vs. uncountable); in other cases, it is a topological matter (meagre vs. co-meagre) or a hybrid computational-topological matter (effectively meagre vs. effectively co-meagre). (shrink)