: The purpose of this paper and its sister paper I (Farrell and Hooker, a) is to present, evaluate and elaborate a proposed new model for the process of scientific development: self-directed anticipative learning. The vehicle for its evaluation is a new analysis of a well-known historical episode: the development of ape language research. Paper I examined the basic features of SDAL in relation to the early history of ape-language research. In this second paper we examine the reconceptualization of (...) ape-language research following what many conceived to be Terrace's refutation of ape-language. We show that the apparent 'revolution' in our understanding of ape linguistic capacities was not based upon 'revolutionary' research different in kind from 'normal' research. The same processes of self-directed interactive exploration of possibility space, that enables a homing-in upon both error and success, is present in all phases of productive science. Moreover, conceiving science as an SDAL process explains how scientists learn how to learn about their research domain. (shrink)

This paper addresses the issue of how lifelonglearning, globalisation and capitalism arerelated within late modernity. It is criticalof the argument that there is now anincreasingly homogenous global economy that isknowledge based and that unambiguously requiresa high level of cognitive skills in itsworkers. The idea that globalisation producessuch rapid changes in the world of work thatlearning must be ongoing to cope with it ischallenged.It is argued that the key issue forpolicy-makers concerned to encourage lifelonglearning is funding the provision of thoselearning opportunities (...) that would otherwise notbe available. People can learn many worthwhilethings at work, at home and elsewhere ininformal associations. It makes little sense toduplicate the opportunity to learn those thingsformally or even in many cases, formally todistinguish such learning from living andworking. (shrink)

I consider a more generic goal teachers have for students in addition to learning some determinate content: that they learn how to learn anything whatsoever. To explain this process, I draw on two insights from Aristotle’s account of learning: first, that in every case students learn by doing the very things they are learning to do; and second, that it is possible to achieve a general educatedness whereby someone can make intelligent judgments and intellectual (...) progress even in previously unfamiliar subject areas. In both cases, Aristotle’s account of the teacher as thinking-facilitator rather than knowledge-infuser is illuminating. This connects with recent literature on Experiential Learning. Having developed this broadly Aristotelian account of learning how to learn I offer some concrete strategies for putting the theory into practice in the philosophy classroom. These strategies include targeted reading guidance and mystery text assignments, both of which develop incrementally throughout the course. (shrink)

Carl R. Rogers, the founder of client-centered therapy, contributed to the development of self-reliant learning in education. He applied such concepts of client-centered therapy as realness, prizing, acceptance, trust, and empathy to educational area, and called attention the importance of the authentic relationship between teacher and student with such books as Freedom to Learn, Becoming A Person, and A Way of Being. Besides, he also focused on teachers‟ attitudes in classrooms in his works. His views still continue to (...) influence the practices in both contemporary psychotherapy and education. The current study aims to introduce Rogers‟ views on teachers‟ attitudes facilitating students‟ learning, to discuss the views in the light of existentialist approaches and thus to make contributions to the development of educational environments. (shrink)

This paper addresses the issue of how lifelonglearning, globalisation and capitalism arerelated within late modernity. It is criticalof the argument that there is now anincreasingly homogenous global economy that isknowledge based and that unambiguously requiresa high level of cognitive skills in itsworkers. The idea that globalisation producessuch rapid changes in the world of work thatlearning must be ongoing to cope with it ischallenged.

: Though it is being widely argued that expanding young people's capacity to learn is a viable and desirable goal of education, it it not always clear what this means, how it is to be achieved, and how the effectiveness of interventions is to be assessed. It is argued that the capacity to learn should be interpreted as a portmanteau term that comprises a varied set of positive learning dispositions. These are illustrated, and the idea of ?expansion? (...) is glossed in terms of broadening, strengthening and deepening these dispositions. (shrink)

Certain philosophical problems occur in biblical interpretations where concepts that belong to the scriptural world – full of references to demonic forces and miraculous events including raisings from the dead – have to be translated into meaningful concepts in our twenty-first-century western world. A crucial issue that arises is that any interpretation of a text can, at best, be probable and can never be absolutely final and certain. This in turn has implications for the act of faith that any believer (...) makes. Church traditions, the teachings of the Church on matters of faith and morals, and papal dictates are also subject to interpretation and are equally problematic. Attempts by Kant and others to avoid these difficulties by arguing that biblical texts are not descriptive but quasi-performative are also considered and rejected. (shrink)

The study of imitation and other mechanisms of social learning is an exciting area of research for all those interested in understanding the origin and the nature of animal learning in asocial context. Moreover, imitation is an increasingly important research topic in Artificial Intelligence and social robotics which opens up the possibility ofindividualized social intelligencein robots that are part of a community, and allows us to harness not only individual learning by the single robot, but also the (...) acquisition of new skills by observing other members of the community. After an introduction to the main research issues in research on imitation in various fields, we motivate the particular focus of this work, namely thecorrespondence problem. We describeAction Learning for Imitation via Correspondences between Embodiments, an implemented generic framework for solving the correspondence problem between differently embodied robots. Alice enables a robotic agent to learn a behavioral repertoire suitable to performing a task by observing a model agent. Importantly, the model agent could possibly possess a different type of body, e.g. a different number of limbs or joints, a different height, different sensors, a different basic action repertoire, etc. Previously, in a test-bed where the agents differed according to their possible movement patterns, we demonstrated that the character of imitation achieved will depend on the granularity of subgoal matching, and on the metrics used to evaluate success.In our current work, we implemented Alice in a new test-bed calledRabitwhere simple simulated robotic arm agents use various metrics for evaluating success according to actions, states, effects, or weighted combinations.We examine the roles ofsynchronization,looseness of perceptual matching, and ofproprioceptive matchingby a series of experiments. Also, we study how Alice copes withchanges in the embodimentof the imitator during learning. Our simulation results suggest thatsynchronizationandloose perceptual matchingallow for faster acquisition of behavioral compentencies at low error rates.Social learning plays a role as areplicationmechanism for behaviors and results invariabilitywhen the transmitted behavior differs from the model’s behavior, thus providing theevolutionary substrate for cultureand its pre-cursors. Social learning in robotics could therefore serve as the basis for culture in societies whose members include artificial agents. We address the use of imitative social learning mechanisms like Alice for transmission of skills between robots, and give first examples of transmission of a skill despite differences in embodiment of agents involved. In the particular setup, transmission occurs through a chain, as well as emerging in cyclic arrangements of robots. These simple examples demonstrate that by using social learning and imitation,cultural transmissionis possible among robots, even in heterogeneous groups of robots. (shrink)

The perception of separation between school and home/community is related to diminished achievement in school and lack of motivation to learn STEM subjects. The National Council of Educational Research and Training is among many research organisations that have strongly recommended that schools bridge the disconnect between school-based knowledge and learners’ everyday knowledge. We designed the SPIRALS curriculum to bridge this gap between formal science and students’ everyday lives. SPIRALS helps students explore community-based practices to learn about science, environmental (...) sustainability and systems thinking. We implemented the SPIRALS curriculum in a private, urban, English medium school in Western India with approximately 315 students and their four teachers, 214 of whom also participated in the research from which our conclusions are drawn. Our findings about program impacts rely upon analysis of interviews with teachers and students, as well as student work, and conference participation assessment surveys distributed after a capstone experience at which students present their work. This chapter describes our findings about how students learned science, environmental sustainability, and systems thinking through engagement with community-based practices. We also discuss the process of how the SPIRALS approach worked in India and how it could be expanded into a broader learning model across different socio-cultural contexts within India. (shrink)

While public health researchers stress the importance of home-cooked meals, feminist scholars investigate inequalities in family cooking, including why women still cook much more than men. Key to understanding these inequalities is attention to how people learn to cook, a relatively understudied topic by social scientists. To address this gap, this study employs the concept of cultural schemas. Drawing from qualitative interviews and observations of 34 primary cooks in families, I identify the ubiquity of a “cooking by our mother’s (...) side” schema. This schema privileges culinary knowledge acquired during childhood through the social reproductive work of mothers. I argue, first, that this schema reproduces gendered inequalities over generations by reinforcing women as primary transmitters of cooking knowledge. Second, it presents an overly uniform picture of food learning that obscures diversity, especially by overemphasizing the importance of childhood and masking the learning that occurs later in life. Identifying and analyzing this schema offers opportunities to reconsider predominant approaches to food learning to challenge gendered inequalities in domestic foodwork. (shrink)

The present paper analyzes the self‐generated explanations (from talk‐aloud protocols) that “Good” and “Poor” students produce while studying worked‐out examples of mechanics problems, and their subsequent reliance on examples during problem solving. We find that “Good” students learn with understanding: They generate many explanations which refine and expand the conditions for the action parts of the example solutions, and relate these actions to principles in the text. These self‐explanations are guided by accurate monitoring of their own understanding and misunderstanding. (...) Such learning results in example‐independent knowledge and in a better understanding of the principles presented in the text. “Poor” students do not generate sufficient self‐explanations, monitor their learning inaccurately, and subsequently rely heavily on examples. We then discuss the role of self‐explanations in facilitating problem solving, as well as the adequacy of current AI models of explanation‐based learning to account for these psychological findings. (shrink)

We face two great probems of learning: learning about the universe and about ourselves as a part of the universe, and learning how to create world civilization. We have solved the first problem, but not the second. We need to learn from our solution to the first problem how to solve the second. That involves getting clear about the nature of the progress-achieving methods of science, generalizing these methods so that they become fruitfully applicable to any (...) problematic endeavour, and then getting these generalized progress-acheving methods into all our other institutions besides science, and above all into the endeavour to make progress towards a good, civilized world. This article spells out what this programme involves. (shrink)

The present paper analyzes the self‐generated explanations (from talk‐aloud protocols) that “Good” and “Poor” students produce while studying worked‐out examples of mechanics problems, and their subsequent reliance on examples during problem solving. We find that “Good” students learn with understanding: They generate many explanations which refine and expand the conditions for the action parts of the example solutions, and relate these actions to principles in the text. These self‐explanations are guided by accurate monitoring of their own understanding and misunderstanding. (...) Such learning results in example‐independent knowledge and in a better understanding of the principles presented in the text. “Poor” students do not generate sufficient self‐explanations, monitor their learning inaccurately, and subsequently rely heavily on examples. We then discuss the role of self‐explanations in facilitating problem solving, as well as the adequacy of current AI models of explanation‐based learning to account for these psychological findings. (shrink)

Training in ethics and professionalism is a fundamental component of residency education, yet there is little empirical information to guide curricula. The objective of this study is to describe empirically derived ethics objectives for ethics and professionalism training for multiple specialties. Study design is a thematic analysis of documents, semi-structured interviews, and focus groups conducted in a setting of an academic medical center, Veterans Administration, and community hospital training more than 1000 residents. Participants were 84 informants in 13 specialties including (...) residents, program directors, faculty, practicing physicians, and ethics committees. Thematic analysis identified commonalities across informants and specialties. Resident and nonresident informants identified consent, interprofessional relationships, family interactions, communication skills, and end-of-life care as essential components of training. Nonresidents also emphasized formal ethics instruction, resource allocation, and self-monitoring, whereas residents emphasized the learning environment and resident-attending interactions. Conclusions are that empirically derived learning needs for ethics and professionalism included many topics, such as informed consent and resource allocation, relevant for most specialties, providing opportunities for shared curricula and resources. (shrink)

As scientists start to adopt machine learning (ML) as one research tool, the security of ML and the knowledge generated become a concern. In this paper, I explain how supervised ML can be improved with better data ontology, or the way we make categories and turn information into data. More specifically, we should design data ontology in such a way that is consistent with the knowledge that we have about the target phenomenon so that such ontology can help us (...) make the inductive leap. I do so by thinking through a thought experiment, Goodman’s New Riddle of Induction (Fact, fiction, and forecast, Harvard University Press, 1955). Goodman’s riddle helps flesh out three problems of induction: (1) the problem of equal goodies, that there are often too many equally good inductive results given the same data; (2) the problem of diverging performance, that these equally good results can give opposite predictions in the future; and (3) the problem of mediocrity, that when averaged across all equally possible datasets and tasks, no inductive algorithm outperforms any other. I show that all these three problems are manifested as real obstacles in ML practice, namely, the Rashomon effect (Breiman in Stat Sci 16(3):199–231, 2001), the problem of underspecification (D’Amour et al. in J Mach Learn Res, 2020, https://doi.org/10.48550/arXiv.2011.03395 ), and the No Free Lunch theorem (Wolpert in Neural Comput 8(7):1341–90, 1996, https://doi.org/10.1162/neco.1996.8.7.1341 ). Lastly, I argue that proper data ontology can help mitigate these problems and I demonstrate how using concrete examples from climate science. This research highlights the links between philosophers’ discussions of induction and implications in ML practice. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Reviewed by:Aristotle on Shame and Learning to Be Good by Marta JimenezJerry GreenMarta Jimenez. Aristotle on Shame and Learning to Be Good. Oxford: Oxford University Press, 2021. Pp. 224. Hardback, $70.00.Aristotle on Shame and Learning to Be Good is a close examination of an underappreciated topic in Aristotle's theories of moral psychology and moral development: shame. Jimenez argues that shame is a sui generis emotion that (...) plays a crucial role in the habituation of moral virtue in young humans who are not yet virtuous and therefore cannot fully see the moral landscape as accurately as the fully developed virtuous adult. On this view, shame acts as a protovirtue that orients the developing moral agent toward "the noble" (τό καλόν), using social cues to learn not only what actions should be avoided or performed, but also what makes those actions shameful or noble, allowing them to eventually see beyond these external correlates of the noble and develop a grasp of nobility itself. Shame is therefore an indispensable tool for cultivating the emotional, perceptual, and cognitive abilities of a person on the path to virtue.The treatment of shame presented here is meant to bridge what Jimenez calls the "moral upbringing gap." On the one hand, nonvirtuous people are able to engage in the same behavior as virtuous people: they can, in principle, eat moderately, stand firm in battle, use their money judiciously, and so on, in a way that is externally indistinguishable from the virtuous. But there is no guarantee that performing these behaviors will lead the nonvirtuous person to develop the psychological traits necessary to perform virtuous actions as the virtuous person does them, with the correct motivation, emotion, and reasoning (e.g. performing a virtuous action enthusiastically, because it is the right thing to do, in a clear-eyed, informed way). Jimenez argues that shame can bridge this gap between action and affect by using signs like the disapproval of others or the depictions of literary exemplars such as epic heroes, not only to see what actions should be done or avoided, but also to begin to appreciate how and why these actions are in fact noble. So understood, shame is directed at the noble itself, not merely at the things that tend to be superficially associated with the noble (such as the pleasures of social praise or the inconveniences of ill repute).The chapters of this short book naturally fall into three groups. The first section (chapters 1 and 2) focuses on common interpretations of shame's role in Aristotle's ethics and objections to these interpretations. Chapter 1 studies the moral upbringing gap discussed above, with emphasis on moral motivation; chapter 2 focuses on the role of pleasure and pain. Both chapters draw heavily on classic works on the topic, such as Miles Burnyeat's "Aristotle on Learning to Be Good" (in Essays on Aristotle's Ethics, ed. A. O. Rorty [Berkeley: University of California Press, 1980], 69-92) and Nancy Sherman's The Fabric of Character (Oxford: Oxford University Press, 1989).The middle section of the book describes the nuances of moral development in Aristotle's moral psychology. Chapter 3 is a case study on the varieties of states that resemble courage; this chapter may initially appear to be a digression, but it highlights the many distinct psychological components of true virtue, giving us a better sense of just how complex the path toward moral development is, and hence what role shame would need to play in this development. Chapter 4 focuses on honor, with special attention paid to the importance of genuine approbation of praiseworthy actions from reputable sources.The final section of the book examines shame itself and the indispensable role it plays in moral development. Chapter 5 argues that shame is a sui generis emotion, not quite a full disposition (hexis), but more than a mere passion (pathos). This chapter also argues that we need not posit any special distinctions to harmonize two key passages on shame from books IV.9 and X.9 of the Nicomachean Ethics that may appear to be in tension. Chapter 6 shows how shame operates in moral development and why it is a... (shrink)

How do we learn to be good? Aristotle’s answer will be familiar to any student of Greek philosophy: we become good—or virtuous—by doing virtuous actions. But ho.

Learning a mapping involves finding regularities in a training set and generalization to novel patterns. Clark & Thornton's type distinction has been discussed in terms of generalization, but has limited value in this respect. However, in terms of detection of regularities in the training set, the distinction is more valid, as it provides a measure of complexity and correlates with the size of search space.

With increasing influence of illiberalism, freedom should not be considered or interpreted lightly. Post-truth contexts provide grounds for alt-right movements to capture and pervert notions of freedom of speech, making universities battlefields of politicised emotions and expressions. In societies facing these pressures around the world, academic freedom has never been challenged as much as it is today. As Peters and colleagues note, conceptualisations of ‘facts’ and ‘evidences’ are politically, socially, and epistemically reconstructed in post-truth contexts. At the same time, with (...) intelligence commodified, reified or marginalised, freedom of speech and of mobility can entail fights for entitlements, or escapes from local responsibilities. The decline and corruptions of democratic free speech and academic freedom, or the absence of forces to defend them, are thus serious challenges. These challenges grow as the competition of ideas, sometimes under the rubric of academic freedom, often implies the power struggle and questioning of statuses in the so-called ‘marketplace of ideas’. Competition as a value invoked in some conceptualisations of freedom, becomes more important than human dignity, which was originally supposed to expand and strengthen under democratic conceptions of freedom in higher education. What had been happening to freedoms, of speech, teaching, and learning, across different subject positions and cultures of higher education, remains largely underexplored, as alt-right movements, neoliberalism and illiberalism, and post-truthism values and orientations expand. (shrink)

In this article I discuss the philosophy of John MacMurray, and in particular, his little-examined writings on discipline and emotion education. It is argued that discipline is a vital element in the emotion education MacMurray thought central to learning to be human, because for him it takes concerted effort to overcome the human tendency toward egocentricity. It is maintained that MacMurray's philosophy of education is of contemporary significance for at least two reasons. On the one hand it suggests an (...) alternative vision for humanistic education. While liberal educationists such as Oakeshott and Peters stressed that the pursuit of knowledge and understanding was the main way in which persons could develop their humanity MacMurray instead emphasised that persons can only learn to become human by pursuing other-centred relationships. On the other hand his philosophy can also reveal the limitations in much contemporary debate in emotion education which critics (such as Ecclestone and Clack) suggest increasingly aims at little more than helping pupils feel better about themselves. According to MacMurray a genuine emotion education can enlarge humanity by supporting persons to feel and act for the sake of others rather than think about themselves. Despite sympathy for MacMurray's account of the purposes of education it is nonetheless concluded that the pursuit of knowledge as an end in itself does not necessarily constitute a negative expression of human agency (as MacMurray asserts)—but rather that the disciplined pursuit of knowledge may also form part of any education concerned to enrich human life. (shrink)

Ethical behaviors are taught in business classrooms using multiple methods, among which case studies are a standard method. However, when introduced at the undergraduate level, until students have developed a strong foundation in moral philosophy, a prescriptive case analysis template may help them build constructive mental models towards that foundation. The paper thus proposes a case analysis method template based on critical components identified in the Ethics literature that lead to ethical decision-making that can be used as a tool by (...) teachers in Ethics in Business classrooms. The critical components entail the development of moral awareness by training the students to develop ethical values through practice. Students learn how to identify an ethical dilemma, analyze various stakeholder characteristics, explore ethical principles, and make moral judgments before recommending moral actions in each context. A sample case analysis is also provided for classroom use. The implications and value to educators, students, and managers are discussed. (shrink)

Most of us spend a significant portion of our lives learning, practising, and performing a wide range of skills. Many of us also have a great amount of control over which skills we learn and develop. From choices as significant as career pursuits to those as minor as how we spend our weeknight leisure time, we exercise a great amount of agency over what we know and what we can do. In this paper we argue, using a framework (...) first developed by Carbonell (2013) that in many real-world circumstances we have moral obligations to develop some skills rather than others. (shrink)

The introduction of the notion of family resemblance represented a major shift in Wittgenstein’s thoughts on the meaning of words, moving away from a belief that words were well defined, to a view that words denoted less well defined categories of meaning. This paper presents the use of the notion of family resemblance in the area of machine learning as an example of the benefits that can accrue from adopting the kind of paradigm shift taken by Wittgenstein. The paper (...) presents a model capable of learning exemplars using the principle of family resemblance and adopting Bayesian networks for a representation of exemplars. An empirical evaluation is presented on three data sets and shows promising results that suggest that previous assumptions about the way we categories need reopening. (shrink)

While organizational learning literature has generated significant insight into the effective and efficient achievement of organizational goals as well as to the modus of learning, it is currently unable to describe moral learning processes in organizations consistently. Corporations need to learn morally if they want to deal effectively with stakeholders criticizing their conduct. Nongovernmental organizations do not ask corporations to be more effective or efficient in what they do, but to become more responsible or to (...) class='Hi'>learn morally. Current research on the moral aspect of organizational learning has been primarily of a theoretical nature and is in need of empirical verification. Results of a longitudinal case study as Citigroup’s conflict with the Rainforest Action Network show that current organizational moral learning theories do not fit the moral learning path observed at Citigroup. More empirical research is needed to describe organizational moral learning. (shrink)

The Dutch pig husbandry has become a topic of public debate. One underlying cause is that pig farmers and urban-citizens have different perspectives and underlying norms, values and truths on pig husbandry and animal welfare. One way of dealing with such conflicts involves a learning process in which a shared vision is developed. A prerequisite for this process is that both parties become aware of their own fixed patterns of thoughts, actions, and blind spots. Therefore, we conducted five homogeneous (...) focus groups consisting of either urban-citizens or pig farmers. The first part of the sessions aimed to make the participants aware of their own perspectives and underlying norms and values concerning animal welfare, farm practices or consumer behavior. Then, by the use of role-play and film fragments showing the perspectives of the other party, we aimed to stimulate frame reflection. The farmers maintained their own perspective and defended their practices. They denied the perspective of the urban-citizens by portraying them as ignorant of the “factual” farm practices. They proposed the use of one-way information, but our results indicate that this is likely to fail as a strategy to support or restore public acceptance. Our case shows hardy any consensus regarding the relevance of the facts at stake and a very limited amount of shared values. However, the shared love for animals together with the recognition by the urban-citizens of the inescapable dilemma for farmers to adopt a use-framing towards animals might provide an opening for further learning strategies. (shrink)

Recent years have witnessed impressive leaps forward in modelling the dynamics of inquiry. Different models have been suggested to fathom various aspects of the reasoning processes relevant to inquiry; belief revision, dynamic epistemic and doxastic logics, stit-theory, logics of action, intention and doxastic voluntarism—in general, logics and formal models for – using an adequately covering term coined by Parikh – social software [Par02]. Many of these logics and formal frameworks rely on combining different modal logics in the realization that inquiry (...) incorporates a multiplicity of parameters including time, change, relevant alternatives, epistemological forcing and learning just to mention a few. The result: Multi-modal systems. (shrink)

We propose that not social bonding, but rather a different mechanism underlies the development of musicality: being unable to survive alone. The evolutionary constraint of being dependent on other humans for survival provides the ultimate driving force for acquiring human faculties such as sociality and musicality, through mechanisms of learning and neural plasticity. This evolutionary mechanism maximizes adaptation to a dynamic environment.

Recent progress in artificial intelligence has renewed interest in building systems that learn and think like people. Many advances have come from using deep neural networks trained end-to-end in tasks such as object recognition, video games, and board games, achieving performance that equals or even beats that of humans in some respects. Despite their biological inspiration and performance achievements, these systems differ from human intelligence in crucial ways. We review progress in cognitive science suggesting that truly human-like learning (...) and thinking machines will have to reach beyond current engineering trends in both what they learn and how they learn it. Specifically, we argue that these machines should build causal models of the world that support explanation and understanding, rather than merely solving pattern recognition problems; ground learning in intuitive theories of physics and psychology to support and enrich the knowledge that is learned; and harness compositionality and learning-to-learn to rapidly acquire and generalize knowledge to new tasks and situations. We suggest concrete challenges and promising routes toward these goals that can combine the strengths of recent neural network advances with more structured cognitive models. (shrink)

Connectionist models provide a promising alternative to the traditional computational approach that has for several decades dominated cognitive science and artificial intelligence, although the nature of connectionist models and their relation to symbol processing remains controversial. Connectionist models can be characterized by three general computational features: distinct layers of interconnected units, recursive rules for updating the strengths of the connections during learning, and “simple” homogeneous computing elements. Using just these three features one can construct surprisingly elegant and powerful models (...) of memory, perception, motor control, categorization, and reasoning. What makes the connectionist approach unique is not its variety of representational possibilities or its departure from explicit rule-based models, or even its preoccupation with the brain metaphor. Rather, it is that connectionist models can be used to explore systematically the complex interaction between learning and representation, as we try to demonstrate through the analysis of several large networks. (shrink)

Infants are sensitive to statistical regularities (i.e., transitional probabilities, or TPs) relevant to segmenting words in fluent speech. However, there is debate about whether tracking TPs results in representations of possible words. Infants show preferential learning of sequences with high TPs (HTPs) as object labels relative to those with low TPs (LTPs). Such findings could mean that only the HTP sequences have a word‐like status, and they are more readily mapped to a referent for that reason. But these findings (...) could also suggest that HTP sequences are easier to encode, just like any other predictable sequence. Here we aimed to distinguish between these explanations. To do so, we built on findings that infants become resistant to learning labels that are not typical of their native language as they approach 2 years of age and add words to their lexicons. If tracking TPs in speech results in identifying candidate words, at this age TPs may have reduced power to confer lexical status when they yield a unit that is very dissimilar to word forms that are typical of infants’ native language. Indeed, we found that at 20 months, English‐learning infants with relatively small vocabularies learned HTP Italian words (but not LTP words) as object labels, while infants with larger vocabularies resisted learning HTP Italian words. These findings suggest that the HTP sequences may be represented as candidate words, and more broadly, that TP statistics are relevant to word learning. (shrink)

Can associative learning take place without awareness? We explore this issue in a sequence learning paradigm with amnesic and control participants, who were simply asked to react to one of four possible stimuli on each trial. Unknown to them, successive stimuli occurred in a sequence. We manipulated the extent to which stimuli followed the sequence in a deterministic manner (noiseless condition) or only probabilistically so (noisy condition). Through this paradigm, we aimed at addressing two central issues: first, we (...) asked whether sequence learning takes place in either condition with amnesic patients. Second, we asked whether this learning takes place without awareness. To answer this second question, participants were asked to perform a subsequent sequence generation task under inclusion and exclusion conditions, as well as a recognition task. Reaction times results show that amnesic patients learned the sequence only in the deterministic condition. However, they failed to be able to reproduce the sequence in the generation task. In contrast, we found learning for both sequence structures in control participants, but only control participants exposed to a deterministic sequence were successful in performing the generation task, thus suggesting that the acquired knowledge can be used consciously in this condition. Neither amnesic nor control participants showed correct old/new judgments in the recognition task. The results strengthen the claim that implicit learning is at least partly spared in amnesia, and the role of contextual information available for learning is discussed. © 2006 Elsevier Ltd. All rights reserved. (shrink)

The emerging contemporary natural philosophy provides a common ground for the integrative view of the natural, the artificial, and the human-social knowledge and practices. Learning process is central for acquiring, maintaining, and managing knowledge, both theoretical and practical. This paper explores the relationships between the present advances in understanding of learning in the sciences of the artificial, natural sciences, and philosophy. The question is, what at this stage of the development the inspiration from nature, specifically its computational models (...) such as info-computation through morphological computing, can contribute to machine learning and artificial intelligence, and how much on the other hand models and experiments in machine learning and robotics can motivate, justify, and inform research in computational cognitive science, neurosciences, and computing nature. We propose that one contribution can be understanding of the mechanisms of ‘learning to learn’, as a step towards deep learning with symbolic layer of computation/information processing in a framework linking connectionism with symbolism. As all natural systems possessing intelligence are cognitive systems, we describe the evolutionary arguments for the necessity of learning to learn for a system to reach humanlevel intelligence through evolution and development. The paper thus presents a contribution to the epistemology of the contemporary philosophy of nature. (shrink)

While the effects of pattern learning on language processing are well known, the way in which pattern learning shapes exploratory behavior has long gone unnoticed. We report on the way in which individual differences in statistical pattern learning affect performance in the domain of language along multiple dimensions. Analyzing data from healthy monolingual adults' performance on a serial reaction time task and a self‐paced reading task, we show how individual differences in statistical pattern learning are reflected (...) in readers' knowledge of linguistic co‐occurrence patterns and in their exploration and exploitation of content‐specific and task‐general information. First, we investigated the extent to which an individual's pattern learning correlates with his or her sensitivity to systematic morphological and syntactic co‐occurrences, as evidenced while reading authentic sentences. We found that the stream of morphological and syntactic information has a more pronounced effect on the reading speed of, as we will label them, content‐sensitive learners in that the more probable the co‐occurrence pattern, the faster their reading of that pattern will be. Next, we investigated how differences in pattern learning are reflected in the ways in which individuals approach the reading task itself and adapt to it. Casting this relation in terms of exploration/exploitation strategies, known from Reinforcement Learning, we conclude that content‐sensitive learners are also more likely to initially probe (explore) a wider range of directly relevant patterns, which they can later use (exploit) to optimize their reading performance further. By affecting exploratory behavior, pattern learning influences the information that is gathered and becomes available for exploitation, thereby increasing the effect pattern learning has on language cognition. (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)