Results for ' non-correction learning'

999 found
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  1.  17
    Correction vs. non-correction learning techniques as related to reminiscence in serial anticipation learning.Claude E. Buxton & Mildred B. Bakan - 1949 - Journal of Experimental Psychology 39 (3):338.
  2.  31
    Studies in spatial learning. V. Response learning vs. place learning by the non-correction method.E. C. Tolman, B. F. Ritchie & D. Kalish - 1947 - Journal of Experimental Psychology 37 (4):285.
  3.  11
    The effect of punishment on discrimination learning in a non-correction situation.George J. Wischner - 1947 - Journal of Experimental Psychology 37 (4):271.
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  4.  24
    Motivation in learning: X. Comparison of electric shock for correct turns in a corrective and a non-corrective situation.Karl F. Muenzinger & Robert F. Powloski - 1951 - Journal of Experimental Psychology 42 (2):118.
  5.  27
    The effect of differential non-reinforcement of the incorrect response on the learning of the correct response in the simple T-maze.M. Ray Denny & Morton D. Dunham - 1951 - Journal of Experimental Psychology 41 (5):382.
  6. Learning and the Necessity of Non-Conceptual Content in Sellars's Empiricism and the Philosophy of Mind.David Forman - 2006 - In Michael P. Wolf & Mark Lance (eds.), The Self-Correcting Enterprise: Essays on Wilfrid Sellars. Rodopi. pp. 115-145.
    For Sellars, the possibility of empirical knowledge presupposes the existence of "sense impressions" in the perceiver, i.e., non-conceptual states of perceptual consciousness. But this role for sense impressions does not implicate Sellars' account in the Myth of the Given: sense impressions do not stand in a justificatory relation to instances of perceptual knowledge; their existence is rather a condition for the possibility of the acquisition of empirical concepts. Sellars suggests that learning empirical concepts presupposes that we can remember certain (...)
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  7.  6
    Learning linear non-Gaussian graphical models with multidirected edges.Huanqing Wang, Elina Robeva & Yiheng Liu - 2021 - Journal of Causal Inference 9 (1):250-263.
    In this article, we propose a new method to learn the underlying acyclic mixed graph of a linear non-Gaussian structural equation model with given observational data. We build on an algorithm proposed by Wang and Drton, and we show that one can augment the hidden variable structure of the recovered model by learning multidirected edges rather than only directed and bidirected ones. Multidirected edges appear when more than two of the observed variables have a hidden common cause. We detect (...)
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  8.  10
    What Machine Learning Can Tell Us About the Role of Language Dominance in the Diagnostic Accuracy of German LITMUS Non-word and Sentence Repetition Tasks.Lina Abed Ibrahim & István Fekete - 2019 - Frontiers in Psychology 9.
    This study investigates the performance of 21 monolingual and 56 bilingual children aged 5;6-9;0 on German-LITMUS-sentence-repetition (SRT; Hamann et al., 2013) and nonword-repetition-tasks (NWRT; Grimm et al., 2014), which were constructed according to the LITMUS-principles (Language Impairment Testing in Multilingual Settings; Armon-Lotem et al., 2015). Both tasks incorporate complex structures shown to be cross-linguistically challenging for children with Specific Language Impairment (SLI) and aim at minimizing bias against bilingual children while still being indicative of the presence of language impairment across (...)
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  9.  51
    The Myth of Cognitive Decline: Non‐Linear Dynamics of Lifelong Learning.Michael Ramscar, Peter Hendrix, Cyrus Shaoul, Petar Milin & Harald Baayen - 2014 - Topics in Cognitive Science 6 (1):5-42.
    As adults age, their performance on many psychometric tests changes systematically, a finding that is widely taken to reveal that cognitive information-processing capacities decline across adulthood. Contrary to this, we suggest that older adults'; changing performance reflects memory search demands, which escalate as experience grows. A series of simulations show how the performance patterns observed across adulthood emerge naturally in learning models as they acquire knowledge. The simulations correctly identify greater variation in the cognitive performance of older adults, and (...)
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  10.  14
    The effectiveness of written direct corrective feedback on learning improvement of the prepositions por and para in Spanish as second language.Nahum Lafleur & Anita Ferreira Cabrera - 2016 - Alpha (Osorno) 43:57-74.
    El objetivo de este trabajo es medir el efecto del feedback correctivo escrito directo en el incremento del aprendizaje y el uso correcto de las preposiciones por y para en español como segunda lengua. Dichas preposiciones se consideran como unas de las más complejas durante el proceso de aprendizaje teniendo en cuenta la frecuencia de errores cometidos en sus usos y la naturaleza sintáctico-semántica. Para ello se llevó a cabo un estudio cuasiexperimental con pretest, postest inmediato, postest diferido y grupo (...)
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  11. Aesthetic concepts, perceptual learning, and linguistic enculturation: Considerations from Wittgenstein, language, and music.Adam M. Croom - 2012 - Integrative Psychological and Behavioral Science 46:90-117.
    Aesthetic non-cognitivists deny that aesthetic statements express genuinely aesthetic beliefs and instead hold that they work primarily to express something non-cognitive, such as attitudes of approval or disapproval, or desire. Non-cognitivists deny that aesthetic statements express aesthetic beliefs because they deny that there are aesthetic features in the world for aesthetic beliefs to represent. Their assumption, shared by scientists and theorists of mind alike, was that language-users possess cognitive mechanisms with which to objectively grasp abstract rules fixed independently of human (...)
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  12.  16
    Learning Simple Things: A Connectionist Learning Problem from Various Perspectives.Edward P. Stabler - 1988 - PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1988:424 - 441.
    The performance of a connectionist learning system on a simple problem has been described by Hinton and is briefly reviewed here: a finite set is learned from a finite collection of finite sets, and the system generalizes correctly from partial information by finding simple "features" of the environment. For comparison, a very similar problem is formulated in the Gold paradigm of discrete learning functions. To get generalization similar to the connectionist system, a non-conservative learning strategy is required. (...)
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  13.  16
    Phonological Concept Learning.Elliott Moreton, Joe Pater & Katya Pertsova - 2017 - Cognitive Science 41 (1):4-69.
    Linguistic and non-linguistic pattern learning have been studied separately, but we argue for a comparative approach. Analogous inductive problems arise in phonological and visual pattern learning. Evidence from three experiments shows that human learners can solve them in analogous ways, and that human performance in both cases can be captured by the same models. We test GMECCS, an implementation of the Configural Cue Model in a Maximum Entropy phonotactic-learning framework with a single free parameter, against the alternative (...)
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  14. Teaching & learning guide for: Musical works: Ontology and meta-ontology.Julian Dodd - 2009 - Philosophy Compass 4 (6):1044-1048.
    A work of music is repeatable in the following sense: it can be multiply performed or played in different places at the same time, and each such datable, locatable performance or playing is an occurrence of it: an item in which the work itself is somehow present, and which thereby makes the work manifest to an audience. As I see it, the central challenge in the ontology of musical works is to come up with an ontological proposal (i.e. an account (...)
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  15.  8
    Deep learning technology of Internet of Things Blockchain in distribution network faults.Chuncheng Shi, Rui Li & Hong Zhang - 2022 - Journal of Intelligent Systems 31 (1):965-978.
    Nowadays, the development of human society and daily life are inseparable from the power supply. Therefore, people also put forward higher requirements for the reliability of distribution network, but power companies can only passively deal with distribution network failures, which is a bottleneck for the improvement of distribution network reliability. The Internet of Things is the best solution for online equipment status monitoring and basic data sharing for large, widely distributed, relatively fixed, and large numbers of equipment. The construction of (...)
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  16.  74
    Can young children learn words from a robot?Yusuke Moriguchi, Takayuki Kanda, Hiroshi Ishiguro, Yoko Shimada & Shoji Itakura - 2011 - Interaction Studies. Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies / Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies 12 (1):107-118.
    Young children generally learn words from other people. Recent research has shown that children can learn new actions and skills from nonhuman agents. This study examines whether young children could learn words from a robot. Preschool children were shown a video in which either a woman or a mechanical robot labeled novel objects. Then the children were asked to select the objects according to the names used in the video. The results revealed that children in the human condition were more (...)
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  17.  13
    Grapheme–phoneme correspondence learning in parrots.Jennifer M. Cunha, Ilyena Hirskyj-Douglas, Rèbecca Kleinberger, Susan Clubb & Lynn K. Perry - 2023 - Interaction Studies 24 (1):87-129.
    Symbolic representation acquisition is the complex cognitive process consisting of learning to use a symbol to stand for something else. A variety of non-human animals can engage in symbolic representation learning. One particularly complex form of symbol representation is the associations between orthographic symbols and speech sounds, known as grapheme–phoneme correspondence. To date, there has been little evidence that animals can learn this form of symbolic representation. Here, we evaluated whether an Umbrella cockatoo (Cacatua alba) can learn letter-speech (...)
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  18.  39
    Non‐Bayesian Noun Generalization in 3‐ to 5‐Year‐Old Children: Probing the Role of Prior Knowledge in the Suspicious Coincidence Effect. [REVIEW]Gavin W. Jenkins, Larissa K. Samuelson, Jodi R. Smith & John P. Spencer - 2015 - Cognitive Science 39 (2):268-306.
    It is unclear how children learn labels for multiple overlapping categories such as “Labrador,” “dog,” and “animal.” Xu and Tenenbaum suggested that learners infer correct meanings with the help of Bayesian inference. They instantiated these claims in a Bayesian model, which they tested with preschoolers and adults. Here, we report data testing a developmental prediction of the Bayesian model—that more knowledge should lead to narrower category inferences when presented with multiple subordinate exemplars. Two experiments did not support this prediction. Children (...)
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  19.  18
    How Native Prosody Affects Pitch Processing during Word Learning in Limburgian and Dutch Toddlers and Adults.Stefanie Ramachers, Susanne Brouwer & Paula Fikkert - 2017 - Frontiers in Psychology 8:290015.
    In this study, Limburgian and Dutch 2,5- to 4-year-olds and adults took part in a word learning experiment. Following the procedure employed by Quam and Swingley (2010) and Singh et al. (2014), participants learned two novel word-object mappings. After training, word recognition was tested in correct pronunciation (CP) trials and mispronunciation (MP) trials featuring a pitch change. Since Limburgian is considered a restricted tone language, we expected that the pitch change would hinder word recognition in Limburgian, but not in (...)
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  20.  13
    Sequential list-learning by an adolescent lowland gorilla (Gorilla gorilla gorilla) using an infrared touchframe apparatus.S. R. Ross - 2009 - Interaction Studies 10 (2):115-129.
    The ability to appropriately sequence a list of discrete items is an important facet in performing routine cognitive tasks and may play a significant role in the acquisition of early communication skills. Though the serial learning abilities of some species, such as chimpanzees and rhesus macaques are well documented, there is virtually no information on the extent of these skills with gorillas. In this study, a young female western lowland gorilla has demonstrated the ability to learn a list of (...)
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  21.  10
    Could a Computer Learn to Be an Appeals Court Judge? The Place of the Unspeakable and Unwriteable in All-Purpose Intelligent Systems.John Woods - 2022 - Philosophies 7 (5):95.
    I will take it that general intelligence is intelligence of the kind that a typical human being—Fred, say—manifests in his role as a cognitive agent, that is, as an acquirer, receiver and circulator of knowledge in his cognitive economy. Framed in these terms, the word “general” underserves our ends. Hereafter our questions will bear upon the all-purpose intelligence of beings like Fred. Frederika appears as Fred’s AI-counterpart, not as a fully programmed and engineered being, but as a presently unrealized theoretical (...)
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  22. Immediate Judgment and Non-Cognitive Ideas: The Pervasive and Persistent in the Misreading of Kant’s Aesthetic Formalism.Jennifer A. McMahon - 2017 - In Altman Matthew (ed.), Palgrave Kant Handbook. pp. 425-446.
    The key concept in Kant’s aesthetics is “aesthetic reflective judgment,” a critique of which is found in Part 1 of the Critique of the Power of Judgment (1790). It is a critique inasmuch as Kant unravels previous assumptions regarding aesthetic perception. For Kant, the comparative edge of a “judgment” implicates communicability, which in turn gives it a public face; yet “reflection” points to autonomy, and the “aesthetic” shifts the emphasis away from objective properties to the subjective response evoked by the (...)
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  23.  88
    Strong semantic systematicity from Hebbian connectionist learning.Robert F. Hadley & M. B. Hayward - 1997 - Minds and Machines 7 (1):1-55.
    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 (...)
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  24.  8
    Reprogenetics, reproductive risks and cultural awareness: what may we learn from Israeli and Croatian medical students?Miriam Ethel Bentwich, Michal Mashiach-Eizenberg, Ana Borovečki & Frida Simonstein - 2019 - BMC Medical Ethics 20 (1):1-11.
    Background Past studies emphasized the possible cultural influence on attitudes regarding reprogenetics and reproductive risks among medical students who are taken to be “future physicians.” These studies were crafted in order to enhance the knowledge and expand the boundaries of cultural competence. Yet such studies were focused on MS from relatively marginalized cultures, namely either from non-Western developing countries or minority groups in developed countries. The current study sheds light on possible cultural influences of the dominant culture on medical students (...)
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  25.  4
    Social Inference May Guide Early Lexical Learning.Alayo Tripp, Naomi H. Feldman & William J. Idsardi - 2021 - Frontiers in Psychology 12.
    We incorporate social reasoning about groups of informants into a model of word learning, and show that the model accounts for infant looking behavior in tasks of both word learning and recognition. Simulation 1 models an experiment where 16-month-old infants saw familiar objects labeled either correctly or incorrectly, by either adults or audio talkers. Simulation 2 reinterprets puzzling data from the Switch task, an audiovisual habituation procedure wherein infants are tested on familiarized associations between novel objects and labels. (...)
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  26.  12
    On Donna Haraway’s Non-anthropocentric Politics.Ruth Burch - 2018 - Proceedings of the XXIII World Congress of Philosophy 29:31-37.
    In Primate Visions, the American philosopher of culture Donna Haraway, states that ‘primatology is a genre of feminist theory’. The reason she gives is that the politics of being female are intimately linked with the way we view animals and nature. Haraway’s main strategy aimed at opening up discourses and categories in order to produce a new kind of fiction and a new type of myth. In the coyote myth, Haraway develops an exemplary protean trickster figure that is consequential since (...)
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  27.  14
    Strong Semantic Systematicity from Hebbian Connectionist Learning.Robert Hadley & Michael Hayward - 1997 - Minds and Machines 7 (1):1-37.
    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 (...)
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  28.  7
    Music Perception Abilities and Ambiguous Word Learning: Is There Cross-Domain Transfer in Nonmusicians?Eline A. Smit, Andrew J. Milne & Paola Escudero - 2022 - Frontiers in Psychology 13:801263.
    Perception of music and speech is based on similar auditory skills, and it is often suggested that those with enhanced music perception skills may perceive and learn novel words more easily. The current study tested whether music perception abilities are associated with novel word learning in an ambiguous learning scenario. Using a cross-situational word learning (CSWL) task, nonmusician adults were exposed to word-object pairings between eight novel words and visual referents. Novel words were either non-minimal pairs differing (...)
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  29.  12
    Levis, Language and the Forking of Correctness.David Cornberg - 2007 - Cultura 4 (1):32-43.
    From the Greek satyr to the American Mickey Mouse and from the Chinese dragon to the Egyptian Sphinx, animals and animal/humans have come throughhuman imagination into myth, legend and story. This combination or fusion of animal and human in literature presents a double signification. At the same time that our attention goes to the animality of the human, we may also entertain the humanity of the animal. Besides blending of physical and psychological characteristics, these ancient and modern characters of world (...)
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  30. Mdl Codes for Non-Monotonic Learning.S. Muggleton, A. Srinivasan & M. Bain - 1991 - Turing Institute.
     
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  31.  13
    The Role of the Cerebellum in Social and Non-Social Action Sequences: A Preliminary LF-rTMS Study.Elien Heleven, Kim van Dun, Sara De Witte, Chris Baeken & Frank Van Overwalle - 2021 - Frontiers in Human Neuroscience 15.
    An increasing number of studies demonstrated the involvement of the cerebellum in sequence processing. The current preliminary study is the first to investigate the causal involvement of the cerebellum in sequence generation, using low-frequency repetitive transcranial magnetic stimulation. By targeting the posterior cerebellum, we hypothesized that the induced neuro-excitability modulation would lead to altered performance on a Picture and Story sequencing task, which involve the generation of the correct chronological order of various social and non-social stories depicted in cartoons or (...)
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  32.  23
    Fitness, Fatness, and Aesthetic Judgments of the Female Body: What the AMA Decision to Medicalize Obesity means for other Non–Normal Female Bodies.Sara R. Jordan - 2014 - Narrative Inquiry in Bioethics 4 (2):101-104.
    In lieu of an abstract, here is a brief excerpt of the content:Fitness, Fatness, and Aesthetic Judgments of the Female Body:What the AMA Decision to Medicalize Obesity means for other Non–Normal Female BodiesSara R. Jordan“I’ll be happy to refer you to our dietician to get you on a program to help you get your weight under control before it becomes a problem”.As my new physician spun around out of the examination room door, my head spun faster. I had heard the (...)
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  33.  25
    Lateralization of Sucrose Responsiveness and Non-associative Learning in Honeybees.David Baracchi, Elisa Rigosi, Gabriela de Brito Sanchez & Martin Giurfa - 2018 - Frontiers in Psychology 9.
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  34.  11
    Unification neural networks: unification by error-correction learning.Ekaterina Komendantskaya - 2011 - Logic Journal of the IGPL 19 (6):821-847.
    We show that the conventional first-order algorithm of unification can be simulated by finite artificial neural networks with one layer of neurons. In these unification neural networks, the unification algorithm is performed by error-correction learning. Each time-step of adaptation of the network corresponds to a single iteration of the unification algorithm. We present this result together with the library of learning functions and examples fully formalised in MATLAB Neural Network Toolbox.
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  35.  6
    Reconceptualizing Symbolic Magnitude Estimation Training Using Non-declarative Learning Techniques.Erin N. Graham & Christopher A. Was - 2021 - Frontiers in Psychology 12.
    It is well-documented that mathematics achievement is an important predictor of many positive life outcomes like college graduation, career opportunities, salary, and even citizenship. As such, it is important for researchers and educators to help students succeed in mathematics. Although there are undoubtedly many factors that contribute to students' success in mathematics, much of the research and intervention development has focused on variations in instructional techniques. Indeed, even a cursory glance at many educational journals and granting agencies reveals that there (...)
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  36.  41
    Adaptation, punctuation and information: A rate-distortion approach to non-cognitive 'learning plateaus' in evolutionary process.Rodrick Wallace - 2002 - Acta Biotheoretica 50 (2):101-116.
    We extend recent information-theoretic phase transition approaches to evolutionary and cognitive process via the Rate Distortion and Joint Asymptotic Equipartition Theorems, in the circumstance of interaction with a highly structured environment. This suggests that learning plateaus in cognitive systems and punctuated equilibria in evolutionary process are formally analogous, even though evolution is not cognitive. Extending arguments by Adami et al. (2000), we argue that 'adaptation' is the process by which a distorted genetic image of a coherently structured environment is (...)
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  37.  8
    Gender Perception From Gait: A Comparison Between Biological, Biomimetic and Non-biomimetic Learning Paradigms.Viswadeep Sarangi, Adar Pelah, William Edward Hahn & Elan Barenholtz - 2020 - Frontiers in Human Neuroscience 14.
  38.  39
    Peter Heering, Stephen Klassen and Don Metz : Enabling Scientific Understanding Through Historical Instruments and Experiments in Formal and Non-formal Learning Environments. Flensburg Studies in the History and Philosophy of Science in Science Education. [REVIEW]Katharine Anderson - 2015 - Science & Education 24 (3):339-341.
    These proceedings of the International Conference for the History of Science in Science Education (ICHSSE) 2012 offer a snapshot of the work and conversations at an increasingly busy intersection: history of science, museum and science center staff, and science educators.
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  39.  84
    Non‐adjacent Dependency Learning in Humans and Other Animals.Benjamin Wilson, Michelle Spierings, Andrea Ravignani, Jutta L. Mueller, Toben H. Mintz, Frank Wijnen, Anne Kant, Kenny Smith & Arnaud Rey - 2020 - Topics in Cognitive Science 12 (3):843-858.
    Wilson et al. focus on one class of AGL tasks: the cognitively demanding task of detecting non‐adjacent dependencies (NADs) among items. They provide a typology of the different types of NADs in natural languages and in AGL tasks. A range of cues affect NAD learning, ranging from the variability and number of intervening elements to the presence of shared prosodic cues between the dependent items. These cues, important for humans to discover non‐adjacent dependencies, are also found to facilitate NAD (...)
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  40.  26
    Learning correction grammars.Lorenzo Carlucci, John Case & Sanjay Jain - 2009 - Journal of Symbolic Logic 74 (2):489-516.
    We investigate a new paradigm in the context of learning in the limit, namely, learning correction grammars for classes of computably enumerable (c.e.) languages. Knowing a language may feature a representation of it in terms of two grammars. The second grammar is used to make corrections to the first grammar. Such a pair of grammars can be seen as a single description of (or grammar for) the language. We call such grammars correction grammars. Correction grammars (...)
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  41.  78
    Non‐adjacent Dependency Learning in Humans and Other Animals.Benjamin Wilson, Michelle Spierings, Andrea Ravignani, Jutta L. Mueller, Toben H. Mintz, Frank Wijnen, Anne van der Kant, Kenny Smith & Arnaud Rey - 2018 - Topics in Cognitive Science 12 (3):843-858.
    Wilson et al. focus on one class of AGL tasks: the cognitively demanding task of detecting non‐adjacent dependencies (NADs) among items. They provide a typology of the different types of NADs in natural languages and in AGL tasks. A range of cues affect NAD learning, ranging from the variability and number of intervening elements to the presence of shared prosodic cues between the dependent items. These cues, important for humans to discover non‐adjacent dependencies, are also found to facilitate NAD (...)
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  42.  41
    Rule learning over consonants and vowels in a non-human animal.Daniela M. de la Mora & Juan M. Toro - 2013 - Cognition 126 (2):307-312.
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  43.  26
    A Correction to Dillard’s Reading of Geach’s Temporality Argument for Non-Materialism.Stefaan E. Cuypers - 2023 - American Catholic Philosophical Quarterly 97 (1):69-73.
    In his article “What Do We Think With?” Peter Geach develops an argument for the non-materiality of thinking. Given that basic thinking activity is not clockable in physical time, whereas basic material or bodily activity is so clockable, it follows that basic thinking activity is non-material. Peter Dillard’s attack on this temporality proof takes “thoughts” in the proof to refer to non-occurrent states. The present note shows this reading to be mistaken and so rectifies a misunderstanding of Geach’s argument. It (...)
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  44.  72
    Correction to: Excavating AI: the politics of images in machine learning training sets.Kate Crawford & Trevor Paglen - 2021 - AI and Society 36 (4):1399-1399.
  45.  40
    Non-cognitive Values and Methodological Learning in the Decision-Oriented Sciences.Oliver Todt & José Luis Luján - 2017 - Foundations of Science 22 (1):215-234.
    The function and legitimacy of values in decision making is a critically important issue in the contemporary analysis of science. It is particularly relevant for some of the more application-oriented areas of science, specifically decision-oriented science in the field of regulation of technological risks. Our main objective in this paper is to assess the diversity of roles that non-cognitive values related to decision making can adopt in the kinds of scientific activity that underlie risk regulation. We start out, first, by (...)
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  46.  3
    Corrective feedback and persistent learning for information extraction.Aron Culotta, Trausti Kristjansson, Andrew McCallum & Paul Viola - 2006 - Artificial Intelligence 170 (14-15):1101-1122.
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  47. Synchronous vs non-synchronous imitation: using dance to explore interpersonal coordination during observational learning.Cassandra Crone, Lilian Rigoli, Gaurav Patil, Sarah Pini, John Sutton, Rachel Kallen & Michael J. Richardson - 2021 - Human Movement Science 102776 (102776).
    Observational learning can enhance the acquisition and performance quality of complex motor skills. While an extensive body of research has focused on the benefits of synchronous (i.e., concurrent physical practice) and non-synchronous (i.e., delayed physical practice) observational learning strategies, the question remains as to whether these approaches differentially influence performance outcomes. Accordingly, we investigate the differential outcomes of synchronous and non-synchronous observational training contexts using a novel dance sequence. Using multidimensional cross-recurrence quantification analysis, movement time-series were recorded for (...)
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  48.  51
    Learning Foreign Sounds in an Alien World: Videogame Training Improves Non-Native Speech Categorization.Sung-joo Lim & Lori L. Holt - 2011 - Cognitive Science 35 (7):1390-1405.
    Although speech categories are defined by multiple acoustic dimensions, some are perceptually weighted more than others and there are residual effects of native-language weightings in non-native speech perception. Recent research on nonlinguistic sound category learning suggests that the distribution characteristics of experienced sounds influence perceptual cue weights: Increasing variability across a dimension leads listeners to rely upon it less in subsequent category learning (Holt & Lotto, 2006). The present experiment investigated the implications of this among native Japanese (...) English /r/-/l/ categories. Training was accomplished using a videogame paradigm that emphasizes associations among sound categories, visual information, and players’ responses to videogame characters rather than overt categorization or explicit feedback. Subjects who played the game for 2.5 h across 5 days exhibited improvements in /r/-/l/ perception on par with 2–4 weeks of explicit categorization training in previous research and exhibited a shift toward more native-like perceptual cue weights. (shrink)
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  49. Learning in Non-superpositional Quantum Neurocomputers.Ronald L. Chrisley - 1996 - In Paavo Pylkkänen & Pauli Pylkkö (eds.), Brain, Mind & Physics.
    A distinction is made between superpositional and non-superpositional quantum computers. The notion of quantum learning systems - quantum computers that modify themselves in order to improve their performance - is introduced. A particular non-superpositional quantum learning system, a quantum neurocomputer, is described: a conventional neural network implemented in a system which is a variation on the familiar two-slit apparatus from quantum physics. This is followed by a discussion of the advantages that quantum computers in general, and quantum neurocomputers (...)
     
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  50.  72
    A correction to “A non-implication between fragments of Martin’s Axiom related to a property which comes from Aronszajn trees”.Teruyuki Yorioka - 2011 - Annals of Pure and Applied Logic 162 (9):752-754.
    In the paper A non-implication between fragments of Martin’s Axiom related to a property which comes from Aronszajn trees , Proposition 2.7 is not true. To avoid this error and correct Proposition 2.7, the definition of the property is changed. In Yorioka [1], all proofs of lemmas and theorems but Lemma 6.9 are valid about this definition without changing the proofs. We give a new statement and a new proof of Lemma 6.9.
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