Evolution in Four Dimensions claims that epigenetic, behavioral, and symbolic inheritance systems should be considered equal partners to genetics in evolutionary biology. The evidence for, and applicable scope of, these additional inheritance systems is limited, particularly with regard to areas involving learning. It is unclear how including these extra dimensions in mainstream evolutionary thinking translates into testable hypotheses for a productive research program.

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)

Local deterministic string-to-string transductions arise in natural language processing (NLP) tasks such as letter-to-sound translation or pronunciation modeling. This class of transductions is a simple generalization of morphisms of free monoids; learning local transductions is essentially the same as inference of certain monoid morphisms. However, learning even a highly restricted class of morphisms, the so-called fine morphisms, leads to intractable problems: deciding whether a hypothesized fine morphism is consistent with observations is an NP-complete problem; and maximizing classification accuracy (...) of the even smaller class of alphabetic substitution morphisms is APX-hard. These theoretical results provide some justification for using the kinds of heuristics that are commonly used for this learning task. (shrink)

It has been recently argued that some machine learning techniques known as Kernel methods could be relevant for capturing cognitive and neural mechanisms (Jäkel, Schölkopf, & Wichmann, 2009). We point out that ‘‘String kernels,’’ initially designed for protein function prediction and spam detection, are virtually identical to one contending proposal for how the brain encodes orthographic information during reading. We suggest some reasons for this connection and we derive new ideas for visual word recognition that are successfully put to (...) the test. We argue that the versatility and performance of String kernels makes a compelling case for their implementation in the brain. (shrink)

This paper proposes a learning-efficiency explanation of modular structure in language. An optimal grammar arises as the solution to the problem of learning a language from a minimal number of observations of instances of the use of the language. Agents face symmetry constraints that limit their ability to make a priori distinctions among symbols used in the language and among objects (interpreted as facts, events, speaker’s intentions) that are to be represented by messages in the language. It is (...) shown that if it is commonly known that the object space is modular and messages are strings, then modularity of the language is sufficient and (essentially) necessary for learning efficiency. Journal of Economic Literature Classification Number: C72. (shrink)

Dualities are a pervasive phenomenon in contemporary physics, in which two physical theories are empirically equivalent, yet prima facie make different ontological claims about the world (potentially very different claims—differing in e.g. the number and radius of dimensions of the universe). Dualities thus present a particular instantiation of the well-known notion of underdetermination of theory by evidence. Many different philosophical proposals have been made for how such putative underdetermination might be resolved—this continues to be a programme of active research.

In the summer of 2006 two books attacking string theory, a prominent theory in physics, appeared: Peter Woit's "Not Even Wrong" and Lee Smolin's "The Trouble with Physics". A fierce public debate, much of it on weblogs, ensued. Gina is very curious about science blogs. Can they be useful for learning about or discussing science? What happens in these blogs and who participates in them? Gina is eager to learn the issues and to form her own opinion about the (...) string theory controversy. She is equipped with some academic background, including in mathematics, and has some familiarity with academic life. Her knowledge of physics is derived mainly from popular accounts. Gina likes to debate and to argue. She is fascinated by questions about rationality and philosophy, and was exposed to various other scientific controversies in the past. This book uses the blog debate on string theory to discuss blogs, science, and mathematics. Meandering over various topics from children's dyscalculia to Chomskian linguistics, the reader may get some sense of the chaotic and often confusing scientific experience. The book tries to show the immense difficulty involved in getting the factual matters right, and interpreting fragmented and partial information. (shrink)

Higman essentially showed that if A is any language then SUBSEQ(A) is regular, where SUBSEQ(A) is the language of all subsequences of strings in A. Let s1, s2, s3, . . . be the standard lexicographic enumeration of all strings over some finite alphabet. We consider the following inductive inference problem: given A(s1), A(s2), A(s3), . . . . learn, in the limit, a DFA for SUBSEQU). We consider this model of learning and the variants of it (...) that are usually studied in Inductive Inference: anomalies, mind-changes, teams, and combinations thereof. This paper is a significant revision and expansion of an earlier conference version [10]. (shrink)

We describe a linguistic pattern acquisition algorithm that learns, in an unsupervised fashion, a streamlined representation of corpus data. This is achieved by compactly coding recursively structured constituent patterns, and by placing strings that have an identical backbone and similar context structure into the same equivalence class. The resulting representations constitute an efficient encoding of linguistic knowledge and support systematic generalization to unseen sentences.

Glossolalia (“speaking in tongues”) is a rhythmic utterance of word‐like strings of sounds, regularly occurring in religious mass gatherings or various forms of private religious practices (e.g., prayer and meditation). Although specific verbal learning capacities may characterize glossolalists, empirical evidence is lacking. We administered three statistical learning tasks (artificial grammar, phoneme sequence, and visual‐response sequence) to 30 glossolalists and 30 matched control volunteers. In artificial grammar, participants decide whether pseudowords and sentences follow previously acquired implicit rules or (...) not. In sequence learning, they gradually draw out rules from repeating regularities in sequences of speech sounds or motor responses. Results revealed enhanced artificial grammar and phoneme sequence learning performances in glossolalists compared to control volunteers. There were significant positive correlations between daily glossolalia activity and artificial grammar learning. These results indicate that glossolalists exhibit enhanced abilities to extract the statistical regularities of verbal information, which may be related to their unusual language abilities. (shrink)

This paper aims to address conceptual issues concerning black holes in the context of string theory, with the aim of illuminating the ontological unification of gravity and matter, and the interpretation of cosmological models. §1 describes the central concepts of the theory: the fungibility of matter and geometry, and the reduction of gravity and supergravity. The ‘standard’ interpretation presented draws on that implicit in the thinking of many (but not all) string theorists, though made more explicit and systematic than usual. (...) §2 explains how to construct a stringy black hole, and some of its features, including evaporation. §3 critically examines the assumptions behind such modeling, and their bearing on ontological questions. (shrink)

Winner, 2020 Body and Embodiment Best Publication Award, given by the American Sociological Association Honorable Mention, 2020 Sociology of Sex and Gender Distinguished Book Award, given by the American Sociological Association How the female body has been racialized for over two hundred years There is an obesity epidemic in this country and poor Black women are particularly stigmatized as “diseased” and a burden on the public health care system. This is only the most recent incarnation of the fear of fat (...) Black women, which Sabrina Strings shows took root more than two hundred years ago. Strings weaves together an eye-opening historical narrative ranging from the Renaissance to the current moment, analyzing important works of art, newspaper and magazine articles, and scientific literature and medical journals—where fat bodies were once praised—showing that fat phobia, as it relates to Black women, did not originate with medical findings, but with the Enlightenment era belief that fatness was evidence of “savagery” and racial inferiority. The author argues that the contemporary ideal of slenderness is, at its very core, racialized and racist. Indeed, it was not until the early twentieth century, when racialized attitudes against fatness were already entrenched in the culture, that the medical establishment began its crusade against obesity. An important and original work, Fearing the Black Body argues convincingly that fat phobia isn’t about health at all, but rather a means of using the body to validate race, class, and gender prejudice. (shrink)

Subjects exposed to strings of letters generated by a finite state grammar can later classify grammatical and nongrammatical test strings, even though they cannot adequately say what the rules of the grammar are (e.g., Reber, 1989). The MINERVA 2 (Hintzman, 1986) and Medin and Schaffer (1978) memory‐array models and a number of connectionist outoassociator models are tested against experimental data by deriving mainly parameter‐free predictions from the models of the rank order of classification difficulty of test strings. (...) The importance of different assumptions regarding the coding of features (How should the absence of a feature be coded? Should single letters or digrams be coded?), the learning rule used (Hebb rule vs. delta rule), and the connectivity (Should features be predicted only by previous features in the string, or by all features simultaneously?) is investigated by determining the performance of the models with and without each assumption. Only one class of connectionist model (the simultaneous delta rule) passes all the tests. It is shown that this class of model can be regarded by abstracting a set of representative but incomplete rules of the grammar. (shrink)

With the rapid development of artificial intelligence technology, multitasking textual translation has attracted more and more attention. Especially after the application of deep learning technology, the performance of multitask translation text detection and recognition has been greatly improved. However, because multitasking contains the interference problem faced by the translated text, there is a big gap between recognition performance and actual application requirements. Aiming at multitasking and translation text detection, this paper proposes a text localization method based on multichannel multiscale (...) detection of the largest stable extreme value region and cascade filtering. This paper selects the appropriate color channel and scale to extract the maximum stable extreme value area as the character candidate area and designs a cascaded filter from coarse to fine to remove false detections. The coarse filter is based on some simple morphological features and stroke width features, and the fine filter is trained by a two-recognition convolutional neural network. The remaining character candidate regions are merged into horizontal or multidirectional character strings through the graph model. The experimental results on the text data set prove the effectiveness of the improved deep learning network character model and the feasibility of the textual implication translation analysis method based on this model. Among them, the text contains translation character recognition results prove that the model has good description ability. The characteristics of the model determine that this method is not sensitive to the scale of the sliding window, so it performs better than the existing typical methods in retrieval tasks. (shrink)

The computations involved in statistical learning have long been debated. Here, we build on work suggesting that a basic memory process, chunking, may account for the processing of statistical regularities into larger units. Drawing on methods from the memory literature, we developed a novel paradigm to test statistical learning by leveraging a robust phenomenon observed in serial recall tasks: that short‐term memory is fundamentally shaped by long‐term distributional learning. In the statistically induced chunking recall (SICR) task, participants (...) are exposed to an artificial language, using a standard statistical learning exposure phase. Afterward, they recall strings of syllables that either follow the statistics of the artificial language or comprise the same syllables presented in a random order. We hypothesized that if individuals had chunked the artificial language into word‐like units, then the statistically structured items would be more accurately recalled relative to the random controls. Our results demonstrate that SICR effectively captures learning in both the auditory and visual modalities, with participants displaying significantly improved recall of the statistically structured items, and even recall specific trigram chunks from the input. SICR also exhibits greater test–retest reliability in the auditory modality and sensitivity to individual differences in both modalities than the standard two‐alternative forced‐choice task. These results thereby provide key empirical support to the chunking account of statistical learning and contribute a valuable new tool to the literature. (shrink)

It has been suggested that external and/or internal limitations paradoxically may lead to superior learning, that is, the concepts of starting small and less is more (Elman, ; Newport, ). In this paper, we explore the type of incremental ordering during training that might help learning, and what mechanism explains this facilitation. We report four artificial grammar learning experiments with human participants. In Experiments 1a and 1b we found a beneficial effect of starting small using two types (...) of simple recursive grammars: right‐branching and center‐embedding, with recursive embedded clauses in fixed positions and fixed length. This effect was replicated in Experiment 2 (N = 100). In Experiment 3 and 4, we used a more complex center‐embedded grammar with recursive loops in variable positions, producing strings of variable length. When participants were presented an incremental ordering of training stimuli, as in natural language, they were better able to generalize their knowledge of simple units to more complex units when the training input “grew” according to structural complexity, compared to when it “grew” according to string length. Overall, the results suggest that starting small confers an advantage for learning complex center‐embedded structures when the input is organized according to structural complexity. (shrink)

The influence of prior familiarity with components on the implicit learning of relations was examined using artificial grammar learning. Prior to training on grammar strings, participants were familiarised with either the novel symbols used to construct the strings or with irrelevant geometric shapes. Participants familiarised with the relevant symbols showed greater accuracy when judging the correctness of new grammar strings. Familiarity with elemental components did not increase conscious awareness of the basis for discriminations but increased (...) accuracy even in its absence. The subjective familiarity of test strings predicted grammaticality judgments. However, prior exposure to relevant symbols did not increase overall test string familiarity or reliance on familiarity when making grammaticality judgments. Familiarity with the symbols increased the learning of relations between them thus resulting in greater familiarity for grammatical versus ungrammatical strings. The results have important implications for models of implicit learning. (shrink)

It is commonly held that implicit learning is based largely on familiarity. It is also commonly held that familiarity is not affected by intentions. It follows that people should not be able to use familiarity to distinguish strings from two different implicitly learned grammars. In two experiments, subjects were trained on two grammars and then asked to endorse strings from only one of the grammars. Subjects also rated how familiar each string felt and reported whether or not (...) they used familiarity to make their grammaticality judgment. We found subjects could endorse the strings of just one grammar and ignore the strings from the other. Importantly, when subjects said they were using familiarity, the rated familiarity for test strings consistent with their chosen grammar was greater than that for strings from the other grammar. Familiarity, subjectively defined, is sensitive to intentions and can play a key role in strategic control. (shrink)

In response to concerns with existing procedures for measuring strategic control over implicit knowledge in artificial grammar learning , we introduce a more stringent measurement procedure. After two separate training blocks which each consisted of letter strings derived from a different grammar, participants either judged the grammaticality of novel letter strings with respect to only one of these two grammars , or had the target grammar varying randomly from trial to trial which required a higher degree of (...) conscious flexible control. Random variation in the colour and font of letters was introduced to disguise the nature of the rule and reduce explicit learning. Strategic control was observed both in the pure-block and mixed-block conditions, and even among participants who did not realise the rule was based on letter identity. This indicated detailed strategic control in the absence of explicit learning. (shrink)

Norman et al. reported that participants exposed in succession to two artificial grammars could be able to learn implicitly about them, and could apply their knowledge strategically to select which string corresponds to one of these two grammars. In this commentary, I identify an artifact that could account for the learning obtained not only in this study, but also in some previous studies using the same procedures. I claim that more methodological control is needed before jumping to conclusions on (...) the kind of strategic control that could be achieved unconsciously. (shrink)

The forms of words as they appear in text and speech are central to theories and models of lexical processing. Nonetheless, current methods for simulating their learning and representation fail to approach the scale and heterogeneity of real wordform lexicons. A connectionist architecture termed thesequence encoderis used to learn nearly 75,000 wordform representations through exposure to strings of stress‐marked phonemes or letters. First, the mechanisms and efficacy of the sequence encoder are demonstrated and shown to overcome problems with (...) traditional slot‐based codes. Then, two large‐scale simulations are reported that learned to represent lexicons of either phonological or orthographic wordforms. In doing so, the models learned the statistics of their lexicons as shown by better processing of well‐formed pseudowords as opposed to ill‐formed (scrambled) pseudowords, and by accounting for variance in well‐formedness ratings. It is discussed how the sequence encoder may be integrated into broader models of lexical processing. (shrink)

The forms of words as they appear in text and speech are central to theories and models of lexical processing. Nonetheless, current methods for simulating their learning and representation fail to approach the scale and heterogeneity of real wordform lexicons. A connectionist architecture termed thesequence encoderis used to learn nearly 75,000 wordform representations through exposure to strings of stress‐marked phonemes or letters. First, the mechanisms and efficacy of the sequence encoder are demonstrated and shown to overcome problems with (...) traditional slot‐based codes. Then, two large‐scale simulations are reported that learned to represent lexicons of either phonological or orthographic wordforms. In doing so, the models learned the statistics of their lexicons as shown by better processing of well‐formed pseudowords as opposed to ill‐formed (scrambled) pseudowords, and by accounting for variance in well‐formedness ratings. It is discussed how the sequence encoder may be integrated into broader models of lexical processing. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:The Dialogic and the Aesthetic:Some Reflections on Theatre as a Learning MediumAnthony Jackson (bio)A Doll's House will be as flat as ditchwater when A Midsummer Night's Dream will still be as fresh as paint; but it will have done more work in the world; and that is enough for the highest genius, which is always intensely utilitarian.— George Bernard Shaw, "The Problem Play"1People have tried for centuries to (...) use drama to change people's lives, to influence, to comment, to express themselves. It doesn't work. It might be nice if it worked, but it doesn't. The only thing dramatic form is good for is telling a story.—David Mamet, A Whore's Profession2These two assertions, some 100 years apart, were of course meant to be contentious—but they do point to one of the recurring questions about the role that theatrical art plays in modern Western culture and nicely encapsulate the contrasting claims made by practitioners and critics alike for the "work in the world" that drama can do. On the one hand, it is argued that what is conventionally thought of as great dramatic art—while it may be imaginatively rich, aesthetically compelling, and "timeless" in its appeal—will not achieve the social impact that plays such as A Doll's House have done. Such plays have a different function. They can be directly useful to us in the "real world" beyond the theatre walls, perhaps capable of influencing that world or at least influencing the way we think about and operate in the world—but they may not, consequently, have much shelf life. A Doll's House, of course, obstinately refuses to leave both shelf and stage but in this respect may be an exception that proves the rule; the vast majority of "interventionist" dramas rarely outlive their historical moment. (A play such as Spirochete, a [End Page 104] living newspaper written in 1938 in Chicago with the aim of heightening public awareness of the widespread—but barely discussed—problem of syphilis and of the cures available, undoubtedly did much effective work in the world but remains of and for its time.3 )On the other hand, playwright David Mamet casts buckets of cold water over the whole notion of "useful" dramatic art. Let us not delude ourselves, he argues, into thinking drama is good for anything else than telling a story—the value of good dramatic storytelling is important enough as it is. It serves the art form—and possibly those we wish to influence—badly if we insist on trying to change the world using drama as our lever. A genuine work of art, it is often said, cannot be didactic or "instrumental." The novel, play, or poem that sets out to convey information or to preach a message risks surrendering those very qualities we usually value in art—complexity, multilayered meanings, richness of imagination. Jonathan Levy, in his A Theatre of the Imagination, argues that "the impulse to create theatre for children is the impulse to give a gift, without strings. It is this impulse... we should... call upon when we find ourselves in the theatre tempted to teach."4 Further, "when art is used to teach, either the teaching or the art must suffer."5 The implication is clearly that teaching and dramatic art make awkward bedfellows. It has to be one or the other, not both. The late, much missed, Lowell Swortzell took a not dissimilar line in his provocative essay on theatre-in-education, "Trying to like TIE,"6 and many practitioners of children's and young people's theatre have likewise resisted having their work categorized as educational or in any way curriculum driven. The work must have its own justification, as art, as storytelling, offering young people an experience that may complement but that is fundamentally different from anything else they get in school. Even Augusto Boal has at times appeared to reinforce the dichotomy. Arguing for a theatre that can serve the immediate needs of the marginalized, the oppressed, and the disadvantaged, he has negotiated a challenging and productive path through the artistic and socially responsive implications of... (shrink)

In this paper, I work out a five-stringed criticism of John Hattie’s theory of Visible Learning. First, I argue that the theory is a theory of evaluation that denies education as such. Second, I show that there are problems with the dependent variable, learning, i.e. the effect of a given intervention. Thirdly, I show that Hattie's theory belongs to the radical constructivist paradigm. Thus, the problems of constructivism, i.e. problems of normativity and the outside world, walks directly into (...) Hattie’s concept of teaching, resulting in a double breakdown of the essence of teaching. Fourth, I argue that Hattie’s concept of feedback has a centralizing trend which ultimately has the potential to transform the country’s educational activities into a big hierarchical and data-driven organism. Finally, I show that Hattie’s reference to Karl Popper’s theory of “three worlds” is based on a highly problematic reading, where Popper’s objective world is reduced to a subset of a radical subjectivity. (shrink)

Three experiments investigated whether a motor-linked measure (string typing speed) and an judgment-linked measure (grammatical judgment of strings) accessed the same implicit learning mechanisms in the artificial grammar learning task. Participants first studied grammatical strings through observation or through responding to each letter by typing it and then performed typing and grammatical judgment tests. Grammatical judgment test performance was better after observation than after respond learning, whereas typing test performance on higher order relations was worse (...) after observation than after respond learning (Experiment 1). Participants transferred grammatical knowledge across letter sets on the grammatical judgment test, but not on the typing test (Experiment 2). Typing speed did not differ for hits (grammatical strings classified by participants as grammatical) and misses (grammatical strings classified as nongrammatical, Experiment 3). These results are consistent with typing and grammatical judgment tests tapping independent mechanisms and indicate that implicit learning may consist of many different forms of learning rather than being a unitary learning mechanism. (shrink)

A significant part of everyday learning occurs incidentally — a process typically described as implicit learning. A central issue in this and germane domains such as language acquisition is the extent to which performance depends on the acquisition and deployment of abstract rules. In an attempt to address this question, we show that the apparent use of such rules in a simple categorisation task of artificial grammar strings, as reported by Shanks, Johnstone, and Staggs (1997), can be (...) simulated by means of a simple recurrent network, and may thus turn out not be incompatible with the acquisition of statistical regularities rooted in the processing of exemplars of the presented material. (shrink)

In 2006, young people were flocking to MySpace, discovering the joys of watching videos of cute animals on YouTube, and playing online games. Not many of them were watching network news on television; they got most of their information online. So when NBC and MIT launched iCue, an interactive learning venture that combined social networking, online video, and gaming in one multimedia educational site, it was perfectly in tune with the times. iCue was a surefire way for NBC to (...) reach younger viewers and for MIT to test innovative educational methods in the real world. But iCue was a failure: it never developed an audience and was canceled as if it were a sitcom with bad ratings. In _The More We Know_, Eric Klopfer and Jason Haas, both part of the MIT development team, describe the rise and fall of iCue and what it can teach us about new media, old media, education, and the challenges of innovating in educational media. Klopfer and Haas show that iCue was hampered by, among other things, an educational establishment focused on "teaching to the test," television producers uncomfortable with participatory media, and confusion about the market. But this is not just a cautionary tale; sometimes more can be learned from an interesting failure than a string of successes. Today's educational technology visionaries might keep this lesson in mind. (shrink)

The structural-parametric synthesis of neural networks of deep learning, in particular convolutional neural networks used in image processing, is considered. The classification of modern architectures of convolutional neural networks is given. It is shown that almost every convolutional neural network, depending on its topology, has unique blocks that determine its essential features, Residual block, Inception module, ResNeXt block. It is stated the problem of structural-parametric synthesis of convolutional neural networks, for the solution of which it is proposed to use (...) a genetic algorithm. The genetic algorithm is used to effectively overcome a large search space: on the one hand, to generate possible topologies of the convolutional neural network, namely the choice of specific blocks and their locations in the structure of the convolutional neural network, and on the other hand to solve the problem of structural-parametric synthesis of convolutional neural network of selected topology. The most significant parameters of the convolutional neural network are determined. An encoding method is proposed that allows to repre- sent each network structure in the form of a string of fixed length in binary format. After that, several standard genetic operations were identified, i.e. selection, mutation and crossover, which eliminate weak individuals of the previous generation and use them to generate competitive ones. An example of solving this problem is given, a database of patients with thyroid disease was used as a training sample. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Response to Eva Alerby and Cecilia Ferm, “Learning Music: Embodied Experience in the Life-World”C. Victor FungThe authors' choice of using phenomenology as a foundation of their inquiry is appropriate and appealing. They have, to a great extent, achieved their goal to explain music learning from a life-world approach. Descriptions of absolute musicality and relativistic musicality in the opening paragraphs remind me of the good old "nature versus (...) nurture" argument. Do the authors intend to relate musicality to musical ability or aptitude as defined by psychologists? If musicality is "the ability to make something of one's own," does it mean that the authors have taken on a relativistic view and believe that musicality can be acquired?At the onset of the essay, musicality is described as emotional or cognitive phenomena. I would be interested to know what role a psychomotor phenomenon plays in musicality. The authors later describe "motor knowledge" in the context of Merleau-Ponty's "maximum grip." Does it mean that "motor knowledge" or "maximum grip" in music is outside the realm of musicality?I have attempted to follow the authors' logic in answering the question: What is learning of music? The authors postulate that "knowledge does not always, and not in any way automatically, become exactly the same as the learning situation aimed for" and that "the aim of music education is to produce music knowledge." These propositions lead me to believe that the learning of music occurs in experiencing all types of musical activities, regardless of the musician's level of proficiency. In all types of musical activities, including different performances of the same repertoire by the same performer, the musician would find new knowledge that is being produced in his/her body. Therefore, I agree with the authors in that "bodily experience is the foundation for learning."I would like to respond to the issue of whether music learning occurs within [End Page 206] or outside of the human being. I enjoy reading how the authors borrow Merleau-Ponty's analogy of the blind man and his stick. They put it so beautifully that "the piano becomes an extension of the pianist's body, and the pianist can 'feel' its limitation." This leads me to ponder if there could be further extensions beyond the physical piano. We know that pianists make the strings in the piano vibrate through a lever mechanism. These vibrations travel through the air and arrive at the audience's ears. Then the vibrating energies are transmitted as electrical energies in the audience's nerve cells. The audience in turn may behave differently after such a complex transmission of energies at a performance. My question is: Is there an end to the "extension" of a musician's body? If so, where should it end? There is no doubt that the pianist relates to the world and learns about the world through the piano. Could the pianist learn about the world through the vibrations that the piano strings generate, through the air, and through the audience's hearing mechanism, brain cells, and behaviors? Is this what the authors meant by "the human ego is boundaryless and cannot be localized, and the ego is immanent in the whole system"? Regardless of how far the "extension" goes, how do we know if an "extension" has occurred? How can we validate an "extension" of a musician's ego"?It seems to me that the authors' discussions have focused on the tactile extension of the body. If the body can be extended like the stick for the blind man, would the air surrounding the blind man, including its smell, temperature, humidity, wind, and sound, be his extension too? When this question is transferred to a musician, would the total context of the musical event be the musician's extension of the body too? By "total context," I mean the cultural context, the environment (smell, temperature,...), and the people in the musical event.We are certain that music learning takes place when experiences and knowledge are incorporated in the body. We still have not solved the problem of whether music learning occurs within or outside of the human being, because the boundary of the... (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Response to Eva Alerby and Cecilia Ferm, “Learning Music: Embodied Experience in the Life-World”C. Victor FungThe authors' choice of using phenomenology as a foundation of their inquiry is appropriate and appealing. They have, to a great extent, achieved their goal to explain music learning from a life-world approach. Descriptions of absolute musicality and relativistic musicality in the opening paragraphs remind me of the good old "nature versus (...) nurture" argument. Do the authors intend to relate musicality to musical ability or aptitude as defined by psychologists? If musicality is "the ability to make something of one's own," does it mean that the authors have taken on a relativistic view and believe that musicality can be acquired?At the onset of the essay, musicality is described as emotional or cognitive phenomena. I would be interested to know what role a psychomotor phenomenon plays in musicality. The authors later describe "motor knowledge" in the context of Merleau-Ponty's "maximum grip." Does it mean that "motor knowledge" or "maximum grip" in music is outside the realm of musicality?I have attempted to follow the authors' logic in answering the question: What is learning of music? The authors postulate that "knowledge does not always, and not in any way automatically, become exactly the same as the learning situation aimed for" and that "the aim of music education is to produce music knowledge." These propositions lead me to believe that the learning of music occurs in experiencing all types of musical activities, regardless of the musician's level of proficiency. In all types of musical activities, including different performances of the same repertoire by the same performer, the musician would find new knowledge that is being produced in his/her body. Therefore, I agree with the authors in that "bodily experience is the foundation for learning."I would like to respond to the issue of whether music learning occurs within [End Page 206] or outside of the human being. I enjoy reading how the authors borrow Merleau-Ponty's analogy of the blind man and his stick. They put it so beautifully that "the piano becomes an extension of the pianist's body, and the pianist can 'feel' its limitation." This leads me to ponder if there could be further extensions beyond the physical piano. We know that pianists make the strings in the piano vibrate through a lever mechanism. These vibrations travel through the air and arrive at the audience's ears. Then the vibrating energies are transmitted as electrical energies in the audience's nerve cells. The audience in turn may behave differently after such a complex transmission of energies at a performance. My question is: Is there an end to the "extension" of a musician's body? If so, where should it end? There is no doubt that the pianist relates to the world and learns about the world through the piano. Could the pianist learn about the world through the vibrations that the piano strings generate, through the air, and through the audience's hearing mechanism, brain cells, and behaviors? Is this what the authors meant by "the human ego is boundaryless and cannot be localized, and the ego is immanent in the whole system"? Regardless of how far the "extension" goes, how do we know if an "extension" has occurred? How can we validate an "extension" of a musician's ego"?It seems to me that the authors' discussions have focused on the tactile extension of the body. If the body can be extended like the stick for the blind man, would the air surrounding the blind man, including its smell, temperature, humidity, wind, and sound, be his extension too? When this question is transferred to a musician, would the total context of the musical event be the musician's extension of the body too? By "total context," I mean the cultural context, the environment (smell, temperature,...), and the people in the musical event.We are certain that music learning takes place when experiences and knowledge are incorporated in the body. We still have not solved the problem of whether music learning occurs within or outside of the human being, because the boundary of the... (shrink)

Letter-position tolerance varies across languages. This observation suggests that the neural code for letter strings may also be subtly different. Although language-specific models remain useful, we should endeavor to develop a universal model of reading acquisition which incorporates crucial neurobiological constraints. Such a model, through a progressive internalization of phonological and lexical regularities, could perhaps converge onto the language-specific properties outlined by Frost.

This study investigates the child‐directed speech (CDS) of four Russian‐, six German, and six English‐speaking mothers to their 2‐year‐old children. Typologically Russian has considerably less restricted word order than either German or English, with German showing more word‐order variants than English. This could lead to the prediction that the lexical restrictiveness previously found in the initial strings of English CDS by Cameron‐Faulkner, Lieven, and Tomasello (2003) would not be found in Russian or German CDS. However, despite differences between the (...) three corpora that clearly derive from typological differences between the languages, the most significant finding of this study is a high degree of lexical restrictiveness at the beginnings of CDS utterances in all three languages. (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)

If the cortex is an associative memory, strongly connected cell assemblies will form when neurons in different cortical areas are frequently active at the same time. The cortical distributions of these assemblies must be a consequence of where in the cortex correlated neuronal activity occurred during learning. An assembly can be considered a functional unit exhibiting activity states such as full activation (“ignition”) after appropriate sensory stimulation (possibly related to perception) and continuous reverberation of excitation within the assembly (a (...) putative memory process). This has implications for cortical topographies and activity dynamics of cell assemblies forming during language acquisition, in particular for those representing words. Cortical topographies of assemblies should be related to aspects of the meaning of the words they represent, and physiological signs of cell assembly ignition should be followed by possible indicators of reverberation. The following postulates are discussed in detail: (1) assemblies representing phonological word forms are strongly lateralized and distributed over perisylvian cortices; (2) assemblies representing highly abstract words such as grammatical function words are also strongly lateralized and restricted to these perisylvian regions; (3) assemblies representing concrete content words include additional neurons in both hemispheres; (4) assemblies representing words referring to visual stimuli include neurons in visual cortices; and (5) assemblies representing words referring to actions include neurons in motor cortices. Two main sources of evidence are used to evaluate these proposals: (a) imaging studies focusing on localizing word processing in the brain, based on stimulus-triggered event-related potentials (ERPs), positron emission tomography (PET), and functional magnetic resonance imaging (fMRI), and (b) studies of the temporal dynamics of fast activity changes in the brain, as revealed by high-frequency responses recorded in the electroencephalogram (EEG) and magnetoencephalogram (MEG). These data provide evidence for processing differences between words and matched meaningless pseudowords, and between word classes, such as concrete content and abstract function words, and words evoking visual or motor associations. There is evidence for early word class-specific spreading of neuronal activity and for equally specific high-frequency responses occurring later. These results support a neurobiological model of language in the Hebbian tradition. Competing large-scale neuronal theories of language are discussed in light of the data summarized. Neurobiological perspectives on the problem of serial order of words in syntactic strings are considered in closing. Key Words: associative learning; cell assembly; cognition; cortex; ERP; EEG; fMRI; language; lexicon; MEG; PET; word category. (shrink)

This paper discusses recent improvements and extensions in Synapse system for inductive inference of context free grammars from sample strings. Synapse uses incremental learning, rule generation based on bottom-up parsing, and the search for rule sets. The form of production rules in the previous system is extended from Revised Chomsky Normal Form A →βγ to Extended Chomsky Normal Form, which also includes A → B, where each of β and γ is either a terminal or nonterminal symbol. From (...) the result of bottom-up parsing, a rule generation mechanism synthesizes minimum production rules required for parsing positive samples. Instead of inductive CYK algorithm in the previous version of Synapse, the improved version uses a novel rule generation method, called ``bridging,'' which bridges the lacked part of the derivation tree for the positive string. The improved version also employs a novel search strategy, called serial search in addition to minimum rule set search. The synthesis of grammars by the serial search is faster than the minimum set search in most cases. On the other hand, the size of the generated CFGs is generally larger than that by the minimum set search, and the system can find no appropriate grammar for some CFL by the serial search. The paper shows experimental results of incremental learning of several fundamental CFGs and compares the methods of rule generation and search strategies. (shrink)

The learning account of the puzzle of ideography cannot be dismissed as readily as Morin maintains, and is compatible with the standardization account. The reading difficulties of deaf and dyslexic individuals, who cannot easily form connections between written letter strings and spoken words, suggest limits to our ability to bypass speech and reliably access meaning directly from graphic symbols.

An artwork in one culture and form, say European classical music, cannot be evaluated in the context of another, say Hindustani music. While a person educated in the traditions of European music can rationally evaluate and discuss her response to a string quartet by Beethoven, her response to music in a foreign culture is merely subjective. She might "like" the latter, but her response is merely subjective. In this paper, I discuss the role of artforms: why response can be "objectively" (...) discussed within artforms, but is nonetheless subjective across them. My discussion falls into two parts. First, I offer a psychological account of aesthetic response to art: cultural learning stabilizes this response across individuals who are educated in an artform. Second, I offer a cultural-evolutionary account of the diversity of artforms, adapting Darwin's Principle of the Divergence of Character to explain the multiplicity of art forms. (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)

Playing with correct intonation is one of the major challenges for a string player. A player must learn how to physically reproduce a target pitch, but before that, the player must learn what correct intonation is. This requires audiation- the aural equivalent of visualization- of every note along with self-assessment whether the pitch played matches the target, and if not, what action should be taken to correct it. A challenge for successful learning is that much of it occurs during (...) practice, typically without outside supervision. A student who has not yet learned to hear correct intonation may repeatedly practice out of tune, blithely normalising bad habits and bad intonation. The real-time reflective nature of intonation and its consistent demand on attention make it a ripe target for technological intervention. Using a violin augmented to combine fingerboard sensors with audio analysis for real-time pitch detection, we examine the efficacy of three methods of real-time feedback for improving intonation and pitch learning. The first, aural feedback in the form of an in-tune guide pitch following the student in real-time, is inspired by the tradition of students playing along with teachers. The second is visual feedback on intonation correctness using an algorithm optimised for use throughout normal practice. The third is a combination of the two methods, simultaneously providing aural and visual feedback. Twelve beginning violinists, including children and adults, were given four in-situ 20-30 minute lessons. Each lesson used one of the intonation feedback methods, along with a control lesson using no feedback. We collected data on intonation accuracy and conducted interviews on student experience and preference. The results varied by player, with evidence of some players being helped by the feedback methods but also cases where the feedback was distracting and intonation suffered. However interviews suggested a high level of interest and potential in having such tools to help during practice, and results also suggested that it takes time to learn to use the real-time aural and visual feedback. Both methods of feedback demonstrate potential for assisting self-reflection during individual practice. (shrink)

Learning from the past prepares one for being able to cope with the future. History is made up of strings of relationships. This article follows a historical line from colonialism, through apartheid to post-colonialism in order to illustrate inter-religious relations in South-Africa and how each context determines these relations. Social cohesion is enhanced by a post-colonial theology of religions based on the current context. By describing the relationship between Christians and Muslims during the 17th–18th centuries in the Cape (...) Colony, lessons can be deduced to guide inter-religious relations in a post-colonial era in South Africa. One of the most prominent Muslim leaders during the 17th century in the Cape Colony was Sheik Yusuf al-Makassari. His influence determined the future face of Islam in the Cape Colony and here, during the 18th century, ethics started playing a crucial role in determining the relationship between Christians and Muslims. The ethical guidance of the Imams formed the Muslim communities whilst ethical decline was apparent amongst the Christian colonists during the same period. The place of ethics as determinative of future inter-religious dialogue is emphasised. Denial and exclusion characterised relationships between Christians and Muslims. According to a post-colonial understanding of inter-religious contact the equality and dignity of non-Christian religions are to be acknowledged. In the postcolonial and postapartheid struggle for equality, also of religions, prof Graham Duncan, to whom this article is dedicated, contributed to the process of acknowledging the plurality of the religious reality in South Africa. (shrink)

In 1998, a lead researcher at a Midwestern university submitted as his own a document that had 64 instances of strings of 10 or more words that were identical to a consultant’s masters thesis and replicated a data chart, all of whose 16 entries were identical to three and four significant figures. He was fired because his actions were wrong. Curiously, he was completely unable to see that his actions were wrong. This phenomenon is discussed in light of recent (...) advances in neuroscience and used to argue for a change in the standard way engineering ethics is taught. I argue that engineering ethics is better taught in the form of a design course in order to maximize “somatic” learning. (shrink)