This article explicates the interaction between implicit and explicit processes in skill learning, in contrast to the tendency of researchers to study each type in isolation. It highlights various effects of the interaction on learning (including synergy effects). The authors argue for an integrated model of skill learning that takes into account both implicit and explicit processes. Moreover, they argue for a bottom-up approach (first learning implicit knowledge and then explicit knowledge) in the integrated model. A (...) variety of qualitative data can be accounted for by the approach. A computational model, CLARION, is then used to simulate a range of quantitative data. The results demonstrate the plausibility of the model, which provides a new perspective on skill learning. (shrink)
We present a skill learning model CLARION. Different from existing models of high-level skill learning that use a topdown approach (that is, turning declarative knowledge into procedural knowledge), we adopt a bottom-up approach toward low-level skill learning, where procedural knowledge develops first and declarative knowledge develops later. CLAR- ION is formed by integrating connectionist, reinforcement, and symbolic learning methods to perform on-line learning. We compare the model with human data in a minefield navigation task. A (...) match between the model and human data is found in several respects. (shrink)
This paper introduces a hybrid model that unifies connectionist, symbolic, and reinforcement learning into an integrated architecture for bottom-up skill learning in reactive sequential decision tasks. The model is designed for an agent to learn continuously from on-going experience in the world, without the use of preconceived concepts and knowledge. Both procedural skills and high-level knowledge are acquired through an agent’s experience interacting with the world. Computational experiments with the model in two domains are reported.
top-down approach (that is, turning declarative knowledge into procedural knowledge), we adopt a bottom-up approach toward lowlevel skill learning, where procedural knowledge develops rst and declarative knowledge develops from it. Clarionwhich follows this approach is formed by integrating connectionist, reinforcement, and symbolic learning methods to perform on-line learning. We compare the model with human data in a mine eld navigation task. A match between the model and human data is observed in several comparisons.
This paper explores the interaction between implicit and explicit processes during skill learning, in terms of top-down learning (that is, learning that goes from explicit to implicit knowledge) versus bottom-up learning (that is, learning that goes from implicit to explicit knowledge). Instead of studying each type of knowledge (implicit or explicit) in isolation, we stress the interaction between the two types, especially in terms of one type giving rise to the other, and its eﬀects on (...)learning. The work presents an integrated model of skill learning that takes into account both implicit and explicit processes and both top-down and bottom-up learning. We examine and simulate human data in the Tower of Hanoi task. The paper shows how the quantitative data in this task may be captured using either top-down or bottom-up approaches, although top-down learning is a more apt explanation of the human data currently available. These results illustrate the two diﬀerent directions of learning (top-down versus bottom-up), and thereby provide a new perspective on skill learning. Ó 2003 Elsevier B.V. All rights reserved. (shrink)
Learning procedural skills involves improvement in speed and accuracy. Walker proposes two stages of memory consolidation: enhancement, which requires sleep, and stabilization, which does not require sleep. Speed improvement for a motor learning task but not accuracy occurs after sleep-dependent enhancement. We discuss this finding in the context of computational models and underlying sleep mechanisms.
In the physical sciences a rigorous theory is a hierarchy of descriptions in which causal relationships between many general types of entity at a phenomenological level can be derived from causal relationships between smaller numbers of simpler entities at more detailed levels. The hierarchy of descriptions resembles the modular hierarchy created in electronic systems in order to be able to modify a complex functionality without excessive side eﬀects. Such a hierarchy would make it possible to establish a rigorous scientiﬁc theory (...) of consciousness. The causal relationships implicit in deﬁnitions of access consciousness and phe- nomenal consciousness are made explicit, and the corresponding causal relationships at the more detailed levels of perception, memory, and skill learning described. Extension of these causal relationships to physiological and neural levels is discussed. The general capability of a range of current consciousness models to support a modular hierarchy which could generate these causal relationships is reviewed, and the speciﬁc capabilities of two models with good general capabilities are compared in some detail. Ó 2003 Elsevier Inc. All rights reserved. (shrink)
This study takes an interest in instructions and instructed actions in the context of manual skills. The analysis focuses on a video recorded episode where a teacher demonstrates how to crochet chain stitches, requests a group of students to reproduce her actions, and then repeatedly corrects the attempts of one of the students. The initial request, and the students’ responses to it, could be seen as preliminary to the series of corrective sequences that come next: the request and the following (...) attempts make it possible for the teacher to launch instructional sequences specifically designed and addressed to the students who need further guidance. In the interaction between the teacher and the novice student, the reasoned character of the instructed actions is not explained so much as installed and tuned. The materiality of the project makes it possible for the two parties to methodically and meticulously adjust their actions in accordance with each other, and towards the gradual realization of the aimed-for results. In connection to this, a number of issues pertaining to the reproducibility and recognizability of manual skills are raised: how instructions-in-interaction orient towards the progression of the skill rather than the interaction itself; how attempts by and mistakes of the instructed party provide grounds for further instruction; and, consequently, how instructions in the form of corrections build on the instructor’s continuous assessments of the instructed actions. (shrink)
Previous accounts of cognitive skill acquisition have demonstrated how procedural knowledge can be obtained and transformed over time into skilled task performance. This article focuses on a complementary aspect of skill acquisition, namely the integration and reuse of previously known component skills. The article posits that, in addition to mechanisms that proceduralize knowledge into more efficient forms, skill acquisition requires tight integration of newly acquired knowledge and previously learned knowledge. Skill acquisition also benefits from reuse of existing knowledge across disparate (...) task domains, relying on indexicals to reference and share necessary information across knowledge components. To demonstrate these ideas, the article proposes a computational model of skill acquisition from instructions focused on integration and reuse, and applies this model to account for behavior across seven task domains. (shrink)
In problem solving research insights into the relationship between monitoring and control in the transfer of complex skills remain impoverished. To address this, in four experiments participants solved two complex control tasks that were identical in structure but varied in presentation format. Participants learnt either to solve the second task, based on their original learning phase from the first task, or learnt to solve the second task, based on another participant’s learning phase. Experiment 1 showed that, under conditions (...) in which participants’ learning phase was experienced twice, performance deteriorated in the second task. In contrast, when the learning phases in the first and second tasks differed, performance improved in the second task. Experiment 2 introduced instructional manipulations that induced the same response patterns as Experiment 1. In Experiment 3 further manipulations were introduced that biased the way participants evaluated the learning phase in the second task. In Experiment 4, judgments of self-efficacy were shown to track control performance. The implications of these findings for theories of complex skill acquisition are discussed. (shrink)
This paper explicates the interaction between the implicit and explicit learning processes in skill acquisition, contrary to the common tendency in the literature of studying each type of learning in isolation. It highlights the interaction between the two types of processes and its various effects on learning, including the synergy effect. This work advocates an integrated model of skill learning that takes into account both implicit and explicit processes; moreover, it embodies a bottom-up approach (first (...) class='Hi'>learning implicit knowledge and then explicit knowledge on its basis) towards skill learning. The paper shows that this approach accounts for various effects in the process control task data, in addition to accounting for other data reported elsewhere. (shrink)
Language development remains one of the most hotly debated topics in the cognitive sciences. In recent years we have seen contributions to the debate from researchers in psychology, linguistics, artificial intelligence, and philosophy, though there have been surprisingly few interdisciplinary attempts at unifying the various theories. In Language and the Learning Curve, a leading researcher in the field offers a radical new view of language development. Drawing on formal linguistic theory (the Minimalist Program, Dependency Grammars), cognitive psychology (Skill (...) class='Hi'>Learning) computational linguistics (Zipf curves), and Complexity Theory (networks), it takes the view that syntactic development is a simple process and that syntax can be learned just like any other cognitive or motor skill. -/- In a thought provoking and accessible style, it develops a learning theory of the acquisition of syntax that builds on the contribution of the different source theories in a detailed and explicit manner. Each chapter starts by laying the relevant theoretical background, before examining empirical data on child language acquisition. The result is a bold new theory of the acquisition of syntax, unusual in its combination of Chomskian linguistics and learning theory. Language and the Learning Curve is an important new work that challenges many of our usual assumptions about syntactic development. (shrink)
The purpose of this chapter is to outline some of the thinking behind new e-learning technology, including e-portfolios and personal learning environments. Part of this thinking is centered around the theory of connectivism, which asserts that knowledge - and therefore the learning of knowledge - is distributive, that is, not located in any given place (and therefore not 'transferred' or 'transacted' per se) but rather consists of the network of connections formed from experience and interactions with a (...) knowing community. And another part of this thinking is centered around the new, and the newly empowered, learner, the member of the net generation, who is thinking and interacting in new ways. These trends combine to form what is sometimes called 'e-learning 2.0' - an approach to learning that is based on conversation and interaction, on sharing, creation and participation, on learning not as a separate activity, but rather, as embedded in meaningful activities such as games or workflows. (shrink)
The last decades have seen a rising philosophical interest in the phenomenology of skill acquisition. One central topic in this work is the relation between the athlete's background capacities and foreground attention as an invariant feature of skilful movements. The purpose of this paper is to examine further this gestalt relation from the perspective of Merleau-Ponty's phenomenological account of embodied learning and a classical notion from philosophy of sport, namely ?sweet tension of uncertainty of outcome?. In the first part (...) we will explicate how Merleau-Ponty understands embodied learning as a form of gestalt switch that allows the athlete to perceive the world more meaningfully in relation to an ongoing movement project. That is, a skilled athlete perceives more and better opportunities for actions. In the second part, we revisit the classical notion of ?sweet tension of uncertainty of outcome? developed by Kretchmar. This phrase is attributed to the indeterminate back and forth rallies between sport contestants, and to persons facing a sport situation that produces an ambiguity as to whether one will succeed in one's task. In the third part, we then juxtapose Merleau-Ponty's notion of embodied learning and the notion of sweet tension from philosophy of sport in order to draw out the relations between the two notions. In addition, in much of the philosophical work on skill acquisition (for instance in Merleau-Ponty and his much-cited commentator, Hubert Dreyfus) the distinction between everyday skills (such as walking and opening doors) and sport skills is collapsed. Our discussion aims to show that by introducing the notion of ?sweet tension? to the literature on phenomenology of skill acquisition, we are able to highlight a phenomenological difference between everyday skills and sport skills. (shrink)
This paper outlines an original interactivist-constructivist (I-C) approach to modelling intelligence and learning as a dynamical embodied form of adaptiveness and explores some applications of I-C to understanding the way cognitive learning is realized in the brain. Two key ideas for conceptualizing intelligence within this framework are developed. These are: (1) intelligence is centrally concerned with the capacity for coherent, context-sensitive, self-directed management of interaction; and (2) the primary model for cognitive learning is anticipative skill construction. Self-directedness (...) is a capacity for integrative process modulation which allows a system to "steer" itself through its world by anticipatively matching its own viability requirements to interaction with its environment. Because the adaptive interaction processes required of intelligent systems are too complex for effective action to be prespecified (e.g. genetically) learning is an important component of intelligence. A model of self-directed anticipative learning (SDAL) is formulated based on interactive skill construction, and argued to constitute a central constructivist process involved in cognitive development. SDAL illuminates the capacity of intelligent learners to start with the vague, poorly defined problems typically posed in realistic learning situations and progressively refine them, transforming them into problems with sufficient structure to guide the construction of a solution. Finally, some of the implications of I-C for modelling of the neuronal basis of intelligence and learning are explored; in particular, Quartz and Sejnowski's recent neural constructivism paradigm, enriched by Montague and Sejnowski's dopaminergic model of anticipative-predictive neural learning, is assessed as a promising, but incomplete, contribution to this approach. The paper concludes with a fourfold reflection on the divergence in cognitive modelling philosophy between the I-C and the traditional computational information processing approaches. (shrink)
In this essay, we describe a form of civic engagement for ethics classes in which students identify a community problem and devise a project to address that need. Like traditional service learning, our civic engagement project improves critical thinking and expressive philosophical skills. It is especially effective in meeting pedagogical goals of engaging and expanding student agency and independence while connecting class materials with individual students’ interests. The project can be adapted to a variety of ethics classes and institutional (...) settings. We demonstrate its effectiveness by examining student projects and class evaluations, as well as reporting our own observations, with emphasis on the skills that students develop. We also address details of implementation and answers to theoretical and practical objections. Although students often find this project challenging, they also see it as deeply rewarding; they have been impressed with their own performance and the skills they develop. (shrink)
The ability to process events in their temporal and sequential context is a fundamental skill made mandatory by constant interaction with a dynamic environment. Sequence learning studies have demonstrated that subjects exhibit detailed — and often implicit — sensitivity to the sequential structure of streams of stimuli. Current connectionist models of performance in the so-called Serial Reaction Time Task (SRT), however, fail to capture the fact that sequence learning can be based not only on sensitivity to the sequential (...) associations between successive stimuli, but also on sensitivity to the associations between successive responses, and on the predictive relationships that exist between these sequences of responses and their effects in the environment. In this paper, we offer an initial exploration of an alternative architecture for sequence learning, based on the principles of Forward Models. (shrink)
Given the complexity and generalizability of motor skills, it is difficult to account for learning in this area without incorporating the concept of unconscious abstraction. A model based solely on association does not seem to account for data in this domain; specifically, instances that require learners to execute a practiced motor skill in a novel situation.
The deep formal and conceptual link existing between artificial life and artificial intelligence can be highlighted using conceptual tools derived by Karl Popper's evolutionary epistemology.Starting from the observation that the structure itself of an organism embodies knowledge about the environment which it is adapted to, it is possible to regard evolution as a learning process. This process is subject to the same rules indicated by Popper for the growth of scientific knowledge: causal conjectures (mutations) and successive refutations (extinction). In (...) the field of machine learning such a paradigm is represented by genetic algorithms that, simulating biological processes, emulate cognitive processes. From a practical viewpoint, that perspective allows to identify the two different kinds of learning considered by artificial intelligence, knowledge acquisition and skill improvement, and to get a different view of the problem of heuristic knowledge in learning systems. From a theoretical point of view, these considerations can shade a new light on an old epistemological problem: why do we live in a learnable world? (shrink)
Can ethical character be stimulated and enabled? Cognitive understanding of organizational ethics issues is important and necessary, but not sufficient. Ethical behavior does not emerge automatically. Effective political method is necessary. While it may be difficult to teach ethical character, nonetheless, skill development with respect to joined ethics understanding and action-learning methods can help us develop the skills and confidence we need to actualize our ethical characters and social concerns. An action-learning approach to organizational ethics can help stimulate (...) and enable ethical character. (shrink)
For years now, learning has been at the heart of research within cognitive psychology. How do we acquire new knowledge and new skills? Are the principles underlying skill acquisition unique to learning, or similar to those underlying other behaviours? Is the mental system essentially modular, or is the mental system a simple product of experience, a product that, inevitably, reflects the shape of the external world with all of its specialisms and similarities? -/- This new book takes the (...) view that learning is a major influence on the nature of the processes and representations that fill our minds. Throughout, the authors review and consider the areas of skill acquisition and lexical representation to illustrate the effects that practice can have on cognitive processes. They also draw parallels between theories in physical and biological domains to propose not only a new theory of mental function but also demonstrate that the mind is essentially subject to the same natural laws as the physical world. In so doing Speelman and Kirsner present a new perspective on psychology - one that identifies universal principles underlying all behaviours and one which contrasts markedly from our current focus on highly specific behaviours. Accessibly written, Beyond the Learning Curve is a thought provoking and challenging new text for students and researchers in the cognitive sciences. (shrink)
Uses of stored skill-models to accelerate simulator-based real-time training in a control skill are discussed. A real-time coach must deliver advice at three levels: (1) what to do next, (2) what to watch for, and (3) what went wrong. Human learning and machine learning results are presented using different screen representations of a pole-and-cart balancing task.
The seventh Korea elementary school curriculum implies that it is possible to activate higher-order thinking by accepting constructivism as a paradigm. However, the absence of effective and concrete way to make it possible disturbs the goal of the new curriculum. I summarized the class contents of what I did for the last two years in the contest that is for improvement of instruction. As I got a bronze medal twice in Seoul teachers teaching contest, it can be a good example (...) for teaching. I hope that it offers concrete materials for general class instructions. I managed five parts of research flexibly for a year. 1. Making the environment for Community of Inquiry (COI) model: being considerate of others in the class. 2. Stressing the reading habit: extending background knowledge and cultivating self-centered learning ability. 3. Discussion: training thinking skill with games. 4. Assessment and Feedback: writing with activity papers, writing portfolio and art-book. 5. Generalization: sharing materials with others, teaching mixed grade students with COI model. As a result, I found out that thinking skill stimulates students' thinking ability as well as their behavior change. Also it proved the positive parts of COI model by showing that COI model improved the creative writing ability. (shrink)
In this new volume in the Oxford Psychology Series, the author presents a highly readable account of the cognitive unconscious, focusing in particular on the problem of implicit learning. Implicit learning is defined as the acquisition of knowledge that takes place independently of the conscious attempts to learn and largely in the absence of explicit knowledge about what was acquired. One of the core assumptions of this argument is that implicit learning is a fundamental, "root" process, one (...) that lies at the very heart of the adaptive behavioral repertoire of every complex organism. The author's goals are to outline the essential features of implicit learning that have emerged from the many studies that have been carried out in a variety of experimental laboratories over the past several decades; to present the various alternative perspectives on this issue that have been proposed by other researchers and to try to accommodate these views with his own; to structure the literature so that it can be seen in the context of standard heuristics of evolutionary biology; to present the material within a functionalist approach and to try to show why the experimental data should be seen as entailing particular epistemological perspectives; and to present implicit processing as encompassing a general and ubiquitous set of operations that have wide currency and several possible applications. Chapter 1 begins with the core problem under consideration in this book, a characterization of "implicit learning" as it has come to be used in the literature. Reber puts this seemingly specialized topic into a general framework and suggests a theoretical model based on standard heuristics of evolutionary biology. In his account, Reber weaves a capsule history of interest in and work on the cognitive unconscious. Chapter 2 turns to a detailed overview of the experimental work on the acquisition of implicit knowledge, which currently is of great interest. Chapter 3 develops the evolutionary model within which one can see learning and cognition as richly intertwining issues and not as two distinct fields with one dominating the other. Finally, Chapter 4 explores a variety of entailments and speculations concerning implicit cognitive processes and their general role in the larger scope of human performance. (shrink)
Christopher Winch launches a vigorous Wittgensteinian attack on both the "romantic" Rousseauian and the "scientific" cognitivist traditions in learning theory. These two schools, he argues, are more closely related than is commonly realized.
The achievement of intentional learning is a powerful paradigm for the objectives and methods of the teaching of philosophy. This paradigm sees the objectives and methods of such teaching as based not simply on the mastery of content, but as rooted in attempts to shape the various affective and cognitive factors that influence students’ learning efforts. The goal of such pedagogy is to foster an intentional learning orientation, one characterized by self-awareness, active monitoring of the learning (...) process, and a desire for publicly certified expertise. I provide a number of examples of philosophy-specific teaching strategies that follow this paradigm. (shrink)
Learning is a changing phenomenon, depending on the advances in theory and research. This book presents a relatively new approach to learning, based on meaningful human activities in cultural practices and in collaboration with others. It draws extensively from the ideas of Lev Vygotsky and his recent followers. The book presents ideas that elaborate this learning theory and also gives recent developments and applications of this approach in a variety of educational situations in and outside of school. (...) A core issue in the research presented in this book consists of the way people learn to make sense of and give meaning to cultural instruments and practices in collaboration with others. (shrink)
Jerry Fodor's argument for an innate language of thought continues to be a hurdle for researchers arguing that natural languages provide us with richer conceptual systems than our innate cognitive resources. I argue that because the logical/formal terms of natural languages are given a usetheory of meaning, unlike predicates, logical/formal terms might be learned without a mediating internal representation. In that case, our innate representational system might have less logical structure than a natural language, making it possible that we augment (...) our innate representational system and improve our ability to think by learning a natural language. (shrink)
In this article I challenge the widely held assumption that human culture is inherited by means of social learning. First, I address the distinction between “social” learning and “individual” learning. I argue that most cultural ideas are not acquired by one form of learning or the other, but from a hybrid of both. Second, I discuss how individual learning can interact with niche construction. I argue that these processes collectively provide a non-social route for learned (...) ideas to be inherited and cumulatively modified. I conclude that human culture is not inherited by social learning alone; the capacities to learn from and modify our environments also play a significant role. (shrink)
This is an excerpt of a report that highlights and explores five questions that arose from the Network for Sensory Research workshop on perceptual learning and perceptual recognition at the University of York in March, 2012. This portion of the report explores the question: Can perceptual experience be modified by reason?
Questions about learning and discovery have fascinated philosophers from Plato onwards. Does the mind bring innate resources of its own to the process of learning or does it rely wholly upon experience? Plato was the first philosopher to give an innatist response to this question and in doing so was to provoke the other major philosophers of ancient Greece to give their own rival explanations of learning. This book is the first to examine these theories of (...) class='Hi'>learning in relation to each other. It presents an entirely new interpretation of the theory of recollection which also changes the way we understand the development of ancient philosophy after Plato. The final section of the book compares ancient theories of learning with the seventeenth-century debate about innate ideas, and finds that the relation between the two periods is far more interesting and complete than is usually supposed. (shrink)
This report highlights and explores five questions that arose from the Network for Sensory Research workshop on perceptual learning and perceptual recognition at the University of York on March 19th and 20th, 2012: 1. What is perceptual learning? 2. Can perceptual experience be modified by reason? 3. How does perceptual learning alter perceptual phenomenology? 4. How does perceptual learning alter the contents of perception? 5. How is perceptual learning coordinated with action?
This is an excerpt from a report that highlights and explores five questions which arose from the workshop on perceptual learning and perceptual recognition at the University of Toronto, Mississauga on May 10th and 11th, 2012. This excerpt explores the question: What counts as cognitive penetration?
Two great problems of learning confront humanity: learning about the universe, and learning how to live wisely. The first problem was solved with the creation of modern science, but the second problem has not been solved. This combination puts humanity into a situation of unprecedented danger. In order to solve the second problem we need to learn from our solution to the first problem. This requires that we bring about a revolution in the overall aims and methods (...) of academic inquiry, so that it takes up its proper task of promoting wisdom. (shrink)
This report highlights and explores five questions which arose from the workshop on perceptual learning and perceptual recognition at the University of Toronto, Mississauga on May 10th and 11th, 2012: 1. How should we demarcate perceptual learning from perceptual development? 2. What are the origins of multimodal associations? 3. Does our representation of time provide an amodal framework for multi-sensory integration? 4. What counts as cognitive penetration? 5. How can philosophers and psychologists most fruitfully collaborate?
This is an excerpt of a report that highlights and explores five questions that arose from the Network for Sensory Research workshop on perceptual learning and perceptual recognition at the University of York in March, 2012. This portion of the report explores the question: How does perceptual learning alter perceptual phenomenology?
This is an excerpt of a report that highlights and explores five questions that arose from the Network for Sensory Research workshop on perceptual learning and perceptual recognition at the University of York in March, 2012. This portion of the report explores the question: What is perceptual learning?
This paper discusses the possibility of modelling inductive inference (Gold 1967) in dynamic epistemic logic (see e.g. van Ditmarsch et al. 2007). The general purpose is to propose a semantic basis for designing a modal logic for learning in the limit. First, we analyze a variety of epistemological notions involved in identification in the limit and match it with traditional epistemic and doxastic logic approaches. Then, we provide a comparison of learning by erasing (Lange et al. 1996) and (...) iterated epistemic update (Baltag and Moss 2004) as analyzed in dynamic epistemic logic. We show that finite identification can be modelled in dynamic epistemic logic, and that the elimination process of learning by erasing can be seen as iterated belief-revision modelled in dynamic doxastic logic. Finally, we propose viewing hypothesis spaces as temporal frames and discuss possible advantages of that perspective. (shrink)
This is an excerpt of a report that highlights and explores five questions that arose from the Network for Sensory Research workshop on perceptual learning and perceptual recognition at the University of York in March, 2012. This portion of the report explores the question: How does perceptual learning alter the contents of perception?
This is an excerpt of a report that highlights and explores five questions that arose from the Network for Sensory Research workshop on perceptual learning and perceptual recognition at the University of York in March, 2012. This portion of the report explores the question: How is perceptual learning coordinated with action?
Implicit Learning and Consciousness challenges conventional wisdom and presents the most up-to-date studies to define, quantify and test the predictions of the main models of implicit learning. The chapters include a variety of research from computer modeling, experimental psychology and neural imaging to the clinical data resulting from work with amnesics. The result is a topical book that provides an overview of the debate on implicit learning, and the various philosophical, psychological and neurological frameworks in which it (...) can be placed. It will be of interest to undergraduates, postgraduates and the philosophical, psychological and modeling research community. (shrink)
Understanding causal structure is a central task of human cognition. Causal learning underpins the development of our concepts and categories, our intuitive theories, and our capacities for planning, imagination and inference. During the last few years, there has been an interdisciplinary revolution in our understanding of learning and reasoning: Researchers in philosophy, psychology, and computation have discovered new mechanisms for learning the causal structure of the world. This new work provides a rigorous, formal basis for theory theories (...) of concepts and cognitive development, and moreover, the causal learning mechanisms it has uncovered go dramatically beyond the traditional mechanisms of both nativist theories, such as modularity theories, and empiricist ones, such as association or connectionism. (shrink)
The paper uses ideas from Machine Learning, Artificial Intelligence and Genetic Algorithms to provide a model of the development of a fight-or-flight response in a simulated agent. The modelled development process involves (simulated) processes of evolution, learning and representation development. The main value of the model is that it provides an illustration of how simple learning processes may lead to the formation of structures which can be given a representational interpretation. It also shows how these may form (...) the infrastructure for closely-coupled agent/environment interaction. (shrink)
This is an excerpt from a report that highlights and explores five questions which arose from the workshop on perceptual learning and perceptual recognition at the University of Toronto, Mississauga on May 10th and 11th, 2012. This excerpt explores the question: Does our representation of time provide and amodal framework for multi-sensory integration?
This paper argues that learning is inherently violent. It examines the way in which Heidegger uses – and refrains from using – the concept in his account of Dasein. Heidegger explicitly discussed “learning” in 1951 and he used of the word in several contexts. Although he confines his use of “learning” to the ontic side of the ontic-ontological divide, there are aspects of what he says that open the door to an ontological analogue of the ontic (...) class='Hi'>learning. In this discussion it emerges that what precludes “learning” behaving as does “willing”, “waiting” and “thanking”, is something that derives from the relatedness of Dasein. The paper finally examines violence within the disclosure of truth. The approach to the investigation is experimental and is to some extent modeled on Heidegger‟s own later enquires. (shrink)
This is an excerpt from a report that highlights and explores five questions which arose from the workshop on perceptual learning and perceptual recognition at the University of Toronto, Mississauga on May 10th and 11th, 2012. This excerpt explores the question: How should we demarcate perceptual learning from perceptual development?
This is an excerpt from a report that highlights and explores five questions which arose from the workshop on perceptual learning and perceptual recognition at the University of Toronto, Mississauga on May 10th and 11th, 2012. This excerpt explores the question: What are the origins of multimodal associations?
This is an excerpt from a report that highlights and explores five questions which arose from the workshop on perceptual learning and perceptual recognition at the University of Toronto, Mississauga on May 10th and 11th, 2012. This excerpt explores the question: How can philosophers and psychologists most fruitfully collaborate?
This article provides the foundation for a new predictive theory of animal learning that is based upon a simple logical model. The knowledge of experimental subjects at a given time is described using logical equations. These logical equations are then used to predict a subject’s response when presented with a known or a previously unknown situation. This new theory suc- cessfully anticipates phenomena that existing theories predict, as well as phenomena that they cannot. It provides a theoretical account for (...) phenomena that are beyond the domain of existing models, such as extinction and the detection of novelty, from which “external inhibition” can be explained. Examples of the methods applied to make predictions are given using previously published results. The present theory proposes a new way to envision the minimal functions of the nervous system, and provides possible new insights into the way that brains ultimately create and use knowledge about the world. (shrink)
Since educators are always looking for ways to improve their practice, and since empirical science is now accepted in our worldview as the final arbiter of truth, it is no surprise they have been lured toward cognitive neuroscience in hopes that discovering how the brain learns will provide a nutshell explanation for student learning in general. I argue that identifying the person with the brain is scientism (not science), that the brain is not the person, and that it is (...) the person who learns. In fact the brain only responds to the learning of embodied experience within the extra-neural network of intersubjective communications. Learning is a dynamic, cultural activity, not a neural program. Brain-based learning is unnecessary for educators and may be dangerous in that a culturally narrow ontology is taken for granted, thus restricting our creativity and imagination, and narrowing the human community. (shrink)
Fodor's and Pylyshyn's stand on systematicity in thought and language has been debated and criticized. Van Gelder and Niklasson, among others, have argued that Fodor and Pylyshyn offer no precise definition of systematicity. However, our concern here is with a learning based formulation of that concept. In particular, Hadley has proposed that a network exhibits strong semantic systematicity when, as a result of training, it can assign appropriate meaning representations to novel sentences (both simple and embedded) which contain words (...) in syntactic positions they did not occupy during training. The experience of researchers indicates that strong systematicity in any form is difficult to achieve in connectionist systems.Herein we describe a network which displays strong semantic systematicity in response to Hebbian, connectionist training. During training, two-thirds of all nouns are presented only in a single syntactic position (either as grammatical subject or object). Yet, during testing, the network correctly interprets thousands of sentences containing those nouns in novel positions. In addition, the network generalizes to novel levels of embedding. Successful training requires a, corpus of about 1000 sentences, and network training is quite rapid. The architecture and learning algorithms are purely connectionist, but classical insights are discernible in one respect, viz, that complex semantic representations spatially contain their semantic constituents. However, in other important respects, the architecture is distinctly non-classical. (shrink)
We believe that the distinction between procedural and declarative knowledge unnecessarily confounds two issues: action-centeredness and accessibility, and can be made clearer through separating the two aspects. The work presents an integrated model of skill learning that takes into account both implicit and explicit processes and both action-centered and non-action-centered knowledge. We examine and simulate human data in the Letter Counting task. The work shows how the data may be captured using either the action-centered knowledge alone or the combined (...) action-centered and non-action-centered knowledge. The results provide a new perspective on skill learning. (shrink)
Ramon Llull (1232-1316), born on Majorca, was one of the most remarkable lay intellectuals of the thirteenth century. He devoted much of his life to promoting missions among unbelievers, the reform of Western Christian society, and personal spiritual perfection. He wrote over 200 philosophical and theological works in Catalan, Latin, and Arabic. Many of these expound on his "Great Universal Art of Finding Truth," an idiosyncratic dialectical system that he thought capable of proving Catholic beliefs to non-believers. This study offers (...) the first full-length analysis of his theories about rhetoric and preaching, which were central to his evangelizing activities. It explains how Llull attempted to synthesize commonplace advice about courtly speech and techniques of popular sermons into a single program for secular and sacred eloquence that would necessarily promote love of God and neighbor. Llull's work is remarkable testimony to the diffusion of clerical culture among educated lay-people of his era, and to their enthusiasm for applying that knowledge in the pursuit of learning and piety. This book should find a place on the shelf of every scholar of medieval history, religion, and rhetoric. (shrink)
This article examines the disciplinary status and experiential underpinnings of C. S. Peirce's philosophical rhetoric. The first part explores the relationship between grammar and rhetoric in the context of Peirce's theory of signs. Next, a possible tension in Peirce's conception of the scope and function of rhetoric is identified, and a resolution is proposed. The field of rhetorical research is then provisionally characterised as spanning philosophical studies of communication, learning, and methods of inquiry. Rather than being a secondary application (...) that the grammarian can ignore, the complex rhetorical field can be meaningfully construed as both the pre-theoretical starting point and the principal theoretical end of philosophical semeiotic. In the final part of the article, it is argued that the aim of Peirce's pursuit of rhetoric ought to be the improvement of semiotic habits, and this goal is construed as the third and highest conception of learning furnished by his philosophy. Further, it is contended that Peircean rhetoric can provide means for reflexive investigations into our processes and methods of inquiry, communication, and learning—that is, higher-order conceptual tools with which to imaginatively describe, control, and transform educational habits in view of personal and social ideals. (shrink)
We argue that atomistic learning?learning that requires training only on a novel item to be learned?is problematic for networks in which every weight is available for change in every learning situation. This is potentially significant because atomistic learning appears to be commonplace in humans and most non-human animals. We briefly review various proposed fixes, concluding that the most promising strategy to date involves training on pseudo-patterns along with novel items, a form of learning that is (...) not strictly atomistic, but which looks very much like it ?from the outside? (shrink)
This book is about an ecological-interpretive image of "the basics" in teaching and learning. The authors offer a generous, rigorous, difficult, and pleasurable image of what this term might mean in the living work of teachers and learners. In this book, Jardine, Clifford, and Friesen: *sketch out some of the key ideas in the traditional, taken-for-granted meaning of "the basics"; *explain how the interpretive-hermeneutic version of "the basics" operates on different fundamental assumptions; *show how this difference leads, of necessity, (...) to very different concrete practices in our schools; *illustrate richly how it is necessary for interpretive work to show, again and again, how new examples enrich, transform, and correct what one thought was fully understood and meaningful; and *explore the challenges of an interpretive approach in relation to child development, mathematics education, science curriculum, teacher education, novel studies, new information technologies, writing practices in the classroom, and the nature of interpretive inquiry itself as a form of "educational research." This text will be valuable to practicing teachers and student-teachers in re-imagining what is basic to their work and the work of their students. Through its many classroom examples, it provides a way to question and open up to conversation the often literal-minded tasks teachers and students face. It also provides examples of interpretive inquiry that will be helpful to graduate students and scholars in the areas of curriculum, teaching, and learning who are pursuing this form of research and writing. (shrink)
I propose a conceptual framework for emotions according to which they are best understood as the feedback mechanism a creature possesses in virtue of its function to learn. More specifically, emotions can be neatly modeled as a measure of harmony in a certain kind of constraint satisfaction problem. This measure can be used as error for weight adjustment (learning) in an unsupervised connectionist network.
How do we find out whether someone is conscious of some information or not? A simple answer is “We just ask them”! However, things are not so simple. Here, we review recent developments in the use of subjective and objective methods in implicit learning research and discuss the highly complex methodological problems that their use raises in the domain.
Purpose: Ernst von Glasersfeld’s question concerning the relationship between scientific/ rational knowledge and the domain of wisdom and how these forms of knowledge come about is the starting point. This article aims at developing an epistemological as well as methodological framework that is capable of explaining how profound change can be brought about in various contexts, such as in individual cultivation, in organizations, in processes of radical innovation, etc. This framework is based on the triple-loop learning strategy and the (...) U-theory approach, which opens up a perspective on how the domains of scientific/rational knowledge, constructivism, and wisdom could grow together more closely. Design/Structure: This article develops a strategy which is referred to as “tripleloop learning,” which is not only the basis for processes of profound change, but also brings about a new dimension in the field of learning and knowledge dynamics: the existential realm and the domain of wisdom. A concrete approach that puts into practice the tripleloop learning strategy is presented. The final section shows, how these concepts can be interpreted in the context of the constructivist approach and how they might offer some extensions to this paradigm. Findings: The process of learning and change has to be extended to a domain that concerns existential issues as well as questions of wisdom. Profound change can only happen if these domains are taken into consideration. The tripleloop learning strategy offers a model that fulfills this criterion. It is an “epistemo-existential strategy” for profound change on various levels. Conclusions: The (cognitive) processes and attitudes of receptivity, suspension, redirecting, openness, deep knowing, as well as “profound change/innovation from the interior” turn out to be core concepts in this process. They are compatible with constructivist concepts. Von Glasersfeld’s concept of functional fitness is carried to an extreme in the suggested approach of profound change and finds an extension in the existential domain. Key words: Double-loop learning, individual cultivation, (radical) innovation, knowledge creation, knowledge society, personality development, presencing, profound change, triple-loop learning, U-theory, wisdom. (shrink)
Practical wisdom is the intellectual virtue that enables a person to make reliably good decisions about how, all-things-considered, to live. As such, it is a lofty and important ideal to strive for. It is precisely this loftiness and importance that gives rise to important questions about wisdom: Can real people develop it? If so, how? What is the nature of wisdom as it manifests itself in real people? I argue that we can make headway answering these questions by modeling wisdom (...) on expert skill. Presenting the main argument for this expert skill model of wisdom is the focus of this paper. More specifically, I’ll argue that wisdom is primarily the same kind of epistemic achievement as expert decision-making skill in areas such as firefighting. Acknowledging this helps us see that, and how, real people can develop wisdom. It also helps to resolve philosophical debates about the nature of wisdom. For example, philosophers, including those who think virtue should be modeled on skills, disagree about the extent to which wise people make decisions using intuitions or principled deliberation and reflection. The expert skill model resolves this debate by showing that wisdom includes substantial intuitive and deliberative and reflective abilities. (shrink)
We argue that the effects of evaluative learning may occur (a) without conscious perception of the affective stimuli, (b) without awareness of the stimulus contingencies, and (c) without any awareness that learning has occurred at all. Whether the three experiments reported in our target article provide conclusive evidence for either or any of these assertions is discussed in the commentaries of De Houwer and Field. We respond with the argument that when considered alongside other studies carried out over (...) the past few decades, our experiments provide compelling evidence for a theory that posits a dissociation between evaluative learning and contingency awareness. (shrink)
This paper reviews the fate of the central ideas behind the complementary learning systems (CLS) framework as originally articulated in McClelland, McNaughton, and O’Reilly (1995). This framework explains why the brain requires two differentially specialized learning and memory systems, and it nicely specifies their central properties (i.e., the hippocampus as a sparse, pattern-separated system for rapidly learning episodic memories, and the neocortex as a distributed, overlapping system for gradually integrating across episodes to extract latent semantic structure). We (...) review the application of the CLS framework to a range of important topics, including the following: the basic neural processes of hippocampal memory encoding and recall, conjunctive encoding, human recognition memory, consolidation of initial hippocampal learning in cortex, dynamic modulation of encoding versus recall, and the synergistic interactions between hippocampus and neocortex. Overall, the CLS framework remains a vital theoretical force in the field, with the empirical data over the past 15 years generally confirming its key principles. (shrink)
The paper considers the problems involved in getting neural networks to learn about highly structured task domains. A central problem concerns the tendency of networks to learn only a set of shallow (non-generalizable) representations for the task, i.e., to miss the deep organizing features of the domain. Various solutions are examined, including task specific network configuration and incremental learning. The latter strategy is the more attractive, since it holds out the promise of a task-independent solution to the problem. Once (...) we see exactly how the solution works, however, it becomes clear that it is limited to a special class of cases in which (1) statistically driven undersampling is (luckily) equivalent to task decomposition, and (2) the dangers of unlearning are somehow being minimized. The technique is suggestive nonetheless, for a variety of developmental factors may yield the functional equivalent of both statistical AND informed undersampling in early learning. (shrink)
Over the past decade, teaching and learning in virtual worlds has been at the forefront of many higher education institutions around the world. The DEHub Virtual Worlds Working Group (VWWG) consisting of Australian and New Zealand higher education academics was formed in 2009. These educators are investigating the role that virtual worlds play in the future of education and actively changing the direction of their own teaching practice and curricula. 47 academics reporting on 28 Australian higher education institutions present (...) an overview of how they have changed directions through the effective use of virtual worlds for diverse teaching and learning activities such as business scenarios and virtual excursions, role-play simulations, experimentation and language development. The case studies offer insights into the ways in which institutions are continuing to change directions in their teaching to meet changing demands for innovative teaching, learning and research in virtual worlds. This paper highlights the ways in which the authors are using virtual worlds to create opportunities for rich, immersive and authentic activities that would be difficult or not possible to achieve through more traditional approaches. (shrink)
Although John Dewey has had the most profound effect on education, less is known about the philosophy of education of the original founder of pragmatism, Charles Peirce. Using Peirce's theory of formal rhetoric, I try to show that Peirce's philosophy of education, when fully understood, is aligned with Dewey's pedagogy of experiential learning, and can provide a justification for the promotion of active learning in the classroom. Peirce's rhetoric, as one part of his logical or semiotic theory, argues (...) that reasoning alone is not sufficient to gain knowledge, but that it must be embedded within a community of inquiry, of a certain sort. Applying this to the classroom, I argue that we, as teachers, should endeavor to create the features of a proper community of inquiry in the classroom, one that emphasizes engagement of the students in doing research rather than passively receiving information about its results. (shrink)
The time has come to challenge many of the age-old assumptions about schools and school learning. In this timely book, leading thinkers from around the world offer a different vision of what schools are for. They suggest new ways of thinking about citizenship, lifelong learning, and the role of schools in democratic societies. They question many of the tenets of school effectiveness studies which have been so influential in shaping policy, but are essentially backward looking and premised on (...) school structures as we have known them. Each chapter confronts some of the myths of schooling we have cherished for too long and asks us to think again and to do schools differently. (shrink)
Case-based instruction is a stable feature of ethics education, however, little is known about the attributes of the cases that make them effective. Emotions are an inherent part of ethical decision-making and one source of information actively stored in case-based knowledge, making them an attribute of cases that likely facilitates case-based learning. Emotions also make cases more realistic, an essential component for effective case-based instruction. The purpose of this study was to investigate the influence of emotional case content, and (...) complementary socio-relational case content, on case-based knowledge acquisition and transfer on future ethical decision-making tasks. Study findings suggest that emotional case content stimulates retention of cases and facilitates transfer of ethical decision-making principles demonstrated in cases. (shrink)
The world changes and we are encouraged to change with it, but is all change good? This book asks us to stop and consider whether the higher education we are providing, and engaging in, for ourselves and our societies is what we ought to have, or what commercial interests want us to have. In claiming that there is a place for a higher education of learning, such as the university, amongst our array of tertiary options the book attempts to (...) explore what this might be. Drawing from the existential literature and in particular Heidegger, the book investigates the case for such a form of higher education and settles on existential trust as the ground upon which the community of scholars that ought to be the university can flourish. This book is written for those who are concerned about the trends towards performativity and for those who are not yet so concerned! It offers a controversial and, some might say, idealistic view of what might be but makes no apology for that since the book proposes that higher education is becoming evermore unacceptable for those who value democracy, tolerance and learning. (shrink)
Cross-situational word learning, like any statistical learning problem, involves tracking the regularities in the environment. However, the information that learners pick up from these regularities is dependent on their learning mechanism. This article investigates the role of one type of mechanism in statistical word learning: competition. Competitive mechanisms would allow learners to find the signal in noisy input and would help to explain the speed with which learners succeed in statistical learning tasks. Because cross-situational word (...)learning provides information at multiple scales—both within and across trials/situations—learners could implement competition at either or both of these scales. A series of four experiments demonstrate that cross-situational learning involves competition at both levels of scale, and that these mechanisms interact to support rapid learning. The impact of both of these mechanisms is considered from the perspective of a process-level understanding of cross-situational learning. (shrink)
The result is a one-dimensional, economistic and bleakly utilitarian conception of the educational task.In Mindfulness and Learning: Celebrating the Affective Dimension of Education, Terry Hyland advances the thesis that education stands in ...
In this article, I explore plant semiosis with a focus on plant learning. I distinguish between the scales and levels of learning conceivable in phytosemiosis, and identify organism-scale learning as the distinguishing question for plant semiosis. Since organism-scale learning depends on organism-scale semiosis, I critically review the arguments regarding whole-plant functional cycles. I conclude that they have largely relied on Uexküllian biases that have prevented an adequate interpretation of modern plant neurobiology. Through an examination of trophic (...) growth in plant roots, I expose some conceptual difficulties in attributing functional cycles to whole-plants. I conclude that the mapping of resource areas in the root system is a learning activity requiring higher-scale sign activity than is possible at the cellular scale, strongly suggesting the presence of organism-scale functional cycles. I do, however, question whether all perception-action cycles in organisms are accompanied with organism-scale semiosis. (shrink)
This study provides evidence for implicit learning in syntactic comprehension. By reanalyzing data from a syntactic priming experiment (Thothathiri & Snedeker, 2008), we find that the error signal associated with a syntactic prime influences comprehenders' subsequent syntactic expectations. This follows directly from error-based implicit learning accounts of syntactic priming, but it is unexpected under accounts that consider syntactic priming a consequence of temporary increases in base-level activation. More generally, the results raise questions about the principles underlying the maintenance (...) of implicit statistical knowledge relevant to language processing, and about possible functional motivations for syntactic priming. (shrink)
Holistic theories of meaning have, at least since Dummett’s Frege: The Philosophy of language, been assumed to be problematic from the perspective of the incremental nature of natural language learning. In this essay I argue that the general relationship between holism and language learning is in fact the opposite of that claimed by Dummett. It is only given a particular form of language learning, and a particular form of holism, that there is a problem at all; in (...) general, for all forms of holism, and irrespective of how language learning is understood, semantic holism is conducive to language learning. The paper has three main parts. In the first, I demonstrate with the use of a simple formal system, that the form of holism that generates the problem that Dummett draws attention to is really decomposable into three distinct components, each of which is necessary for the problem to arise. In the second part, I demonstrate that even Dummett’s strong form of holism is compatible with one natural way in which to understand the incremental nature of language learning. In the third part, I outline the reasons why all forms of holism are conducive to language learning and offer two ways in which this general fact can be spelled out precisely. I end the paper by addressing some possible objections, and in doing so I draw attention to some affinities between semantic holism and the principle of compositionality, a semantic principle which has long been assumed to be conducive to language learning. (shrink)
This article explores the activity of writing in higher education as a mediational means for student meaning making. From a dialogic perspective, writing is not about learning and applying formulas and making fixed kinds of texts, but about ways of working and ways of acting that brings writers, readers, resources and contexts into trajectories. The argument is that processes of writing enhance student meaning making and that these processes are formed by complex interaction. Contextual interpretation and use of mediational (...) means is constituted in social systems of activities that depend on and promote particular kinds of texts. We need insights in contextual trajectories to understand the relationship between writing and student meaning making . Empirically, I draw on a study investigating portfolio writing as a pedagogical tool in a nursing program in Norway. The rationale of the study was an identified need for information about how processes of writing develop, how texts come into being and how institutional tasks of writing are being unpacked. The aim of the paper is to explore a dialogical approach to the activity of writing and to discuss possible methodological implications from the theoretical framework. The empirical study is used as an illustration. (shrink)
This article explores the role of the Deaf child as peer educator. In schools where sign languages were banned, Deaf children became the educators of their Deaf peers in a number of contexts worldwide. This paper analyses how this peer education of sign language worked in context by drawing on two examples from boarding schools for the deaf in Nicaragua and Thailand. The argument is advanced that these practices constituted a child-led oppositional pedagogy. A connection is drawn to Freire’s (1972) (...) theory of critical pedagogy. Deaf children’s actions as peer educators are framed as an act of resistance towards the oppression of their language and culture. A contrast is drawn between oralist pedagogy that is historically associated with punitive practices and didactic methods and the experiential and dialogic interaction that characterised peer learning of sign languages. The argument is made that the peer teaching and learning processes enabled the self-actualisation of the Deaf children whereas the oralist methods were based on a deficit model that focused on modifying deaf children according to the norms of hearing society. The implications of this for current policy and practice are inferred to be about access to sign languages and the importance of Deaf communities in deaf children’s education. The argument is made that space needs to be created for deaf children to engage in peer learning. (shrink)
Francis Bacon, lawyer, statesman, and philosopher, remains one of the most effectual thinkers in European intellectual history. We can trace his influence from Kant in the 1700s to Darwin a century later. The Advancement of Learning , first published in 1605, contains an unprecedented and thorough systematization of the whole range of human knowledge. Bacon’s argument that the sciences should move away from divine philosophy and embrace empirical observation would forever change the way philosophers and natural scientists interpret their (...) world. (shrink)
A U-shaped curve in a cognitive-developmental trajectory refers to a three-step process: good performance followed by bad performance followed by good performance once again. U-shaped curves have been observed in a wide variety of cognitive-developmental and learning contexts. U-shaped learning seems to contradict the idea that learning is a monotonic, cumulative process and thus constitutes a challenge for competing theories of cognitive development and learning. U-shaped behavior in language learning (in particular in learning English (...) past tense) has become a central topic in the Cognitive Science debate about learning models. Antagonist models (e.g., connectionism versus nativism) are often judged on their ability of modeling or accounting for U-shaped behavior. The prior literature is mostly occupied with explaining how U-shaped behavior occurs. Instead, we are interested in the necessity of this kind of apparently inefficient strategy. We present and discuss a body of results in the abstract mathematical setting of (extensions of) Gold-style computational learning theory addressing a mathematically precise version of the following question: Are there learning tasks that require U-shaped behavior? All notions considered are learning in the limit from positive data. We present results about the necessity of U-shaped learning in classical models of learning as well as in models with bounds on the memory of the learner. The pattern emerges that, for parameterized, cognitively relevant learning criteria, beyond very few initial parameter values, U-shapes are necessary for full learning power! We discuss the possible relevance of the above results for the Cognitive Science debate about learning models as well as directions for future research. (shrink)
This article reviews a number of different areas in the foundations of formal learning theory. After outlining the general framework for formal models of learning, the Bayesian approach to learning is summarized. This leads to a discussion of Solomonoff's Universal Prior Distribution for Bayesian learning. Gold's model of identification in the limit is also outlined. We next discuss a number of aspects of learning theory raised in contributed papers, related to both computational and representational complexity. (...) The article concludes with a description of how semi-supervised learning can be applied to the study of cognitive learning models. Throughout this overview, the specific points raised by our contributing authors are connected to the models and methods under review. (shrink)
Most empirical work in human categorization has studied learning in either fully supervised or fully unsupervised scenarios. Most real-world learning scenarios, however, are semi-supervised: Learners receive a great deal of unlabeled information from the world, coupled with occasional experiences in which items are directly labeled by a knowledgeable source. A large body of work in machine learning has investigated how learning can exploit both labeled and unlabeled data provided to a learner. Using equivalences between models found (...) in human categorization and machine learning research, we explain how these semi-supervised techniques can be applied to human learning. A series of experiments are described which show that semi-supervised learning models prove useful for explaining human behavior when exposed to both labeled and unlabeled data. We then discuss some machine learning models that do not have familiar human categorization counterparts. Finally, we discuss some challenges yet to be addressed in the use of semi-supervised models for modeling human categorization. (shrink)
Children learn their native language by exposure to their linguistic and communicative environment, but apparently without requiring that their mistakes be corrected. Such learning from “positive evidence” has been viewed as raising “logical” problems for language acquisition. In particular, without correction, how is the child to recover from conjecturing an over-general grammar, which will be consistent with any sentence that the child hears? There have been many proposals concerning how this “logical problem” can be dissolved. In this study, we (...) review recent formal results showing that the learner has sufficient data to learn successfully from positive evidence, if it favors the simplest encoding of the linguistic input. Results include the learnability of linguistic prediction, grammaticality judgments, language production, and form-meaning mappings. The simplicity approach can also be “scaled down” to analyze the learnability of specific linguistic constructions, and it is amenable to empirical testing as a framework for describing human language acquisition. (shrink)
Previous research shows that people can use the co-occurrence of words and objects in ambiguous situations (i.e., containing multiple words and objects) to learn word meanings during a brief passive training period (Yu & Smith, 2007). However, learners in the world are not completely passive but can affect how their environment is structured by moving their heads, eyes, and even objects. These actions can indicate attention to a language teacher, who may then be more likely to name the attended objects. (...) Using a novel active learning paradigm in which learners choose which four objects they would like to see named on each successive trial, this study asks whether active learning is superior to passive learning in a cross-situational word learning context. Finding that learners perform better in active learning, we investigate the strategies and discover that most learners use immediate repetition to disambiguate pairings. Unexpectedly, we find that learners who repeat only one pair per trial—an easy way to infer this pair—perform worse than those who repeat multiple pairs per trial. Using a working memory extension to an associative model of word learning with uncertainty and familiarity biases, we investigate individual differences that correlate with these assorted strategies. (shrink)
The scholar and his public in the late Middle Ages and the Renaissance.--Thomism and the Italian thought of the Renaissance.--The contribution of religious orders to Renaissance thought and learning.--Bibliography (p. -120).