Results for ' rotor learning'

961 found
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  1.  22
    Reminiscence in pursuit-rotor learning as a function of length of rest and of amount of pre-rest practice.Arthur L. Irion - 1949 - Journal of Experimental Psychology 39 (4):492.
  2.  27
    Bilateral reminiscence in pursuit-rotor learning as a function of amount of first-hand practice and length of rest.Marty R. Rockway - 1953 - Journal of Experimental Psychology 46 (5):337.
  3.  36
    Evidence for the role of motivation in determining the amount of reminiscence in pursuit rotor learning.Gregory A. Kimble - 1950 - Journal of Experimental Psychology 40 (2):248.
  4.  26
    Retroaction and gains in motor learning: I. Similarity of interpolated task as a factor in gains.C. E. Buxton & C. E. Henry - 1939 - Journal of Experimental Psychology 25 (1):1.
  5.  17
    Modeling and PID control of quadrotor UAV based on machine learning.Pradeep Kumar Singh, Anton Pljonkin & Lirong Zhou - 2022 - Journal of Intelligent Systems 31 (1):1112-1122.
    The aim of this article was to discuss the modeling and control method of quadrotor unmanned aerial vehicle. In the process of modeling, mechanism modeling and experimental testing are combined, especially the motor and propeller are modeled in detail. Through the understanding of the body structure and flight principle of the quadrotor UAV, the Newton–Euler method is used to analyze the dynamics of the quadrotor UAV, and the mathematical model of the UAV is established under the small angle rotation. Process (...)
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  6. 84 cogito: Spring 'l 991'.Distance Learning - 1991 - Cogito 5:59.
     
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  7. Christian Mannes.Learning Sensory-Motor Coordination Experimentation - 1990 - In G. Dorffner (ed.), Konnektionismus in Artificial Intelligence Und Kognitionsforschung. Berlin: Springer-Verlag. pp. 95.
     
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  8. Comparison of Decision Learning Models Using the Generalization Criterion Method.Woo-Young Ahn, Jerome R. Busemeyer, Eric-Jan Wagenmakers & Julie C. Stout - 2008 - Cognitive Science 32 (8):1376-1402.
    It is a hallmark of a good model to make accurate a priori predictions to new conditions (Busemeyer & Wang, 2000). This study compared 8 decision learning models with respect to their generalizability. Participants performed 2 tasks (the Iowa Gambling Task and the Soochow Gambling Task), and each model made a priori predictions by estimating the parameters for each participant from 1 task and using those same parameters to predict on the other task. Three methods were used to evaluate (...)
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  9. Gathering the godless: intentional "communities" and ritualizing ordinary life. Section Three.Cultural Production : Learning to Be Cool, or Making Due & What We Do - 2015 - In Anthony B. Pinn (ed.), Humanism: essays on race, religion and cultural production. London: Bloomsbury Academic, an imprint of Bloomsbury Publishing Plc.
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  10.  14
    Machine Learning to Assess Relatedness: The Advantage of Using Firm-Level Data.Giambattista Albora & Andrea Zaccaria - 2022 - Complexity 2022:1-12.
    The relatedness between a country or a firm and a product is a measure of the feasibility of that economic activity. As such, it is a driver for investments at a private and institutional level. Traditionally, relatedness is measured using networks derived by country-level co-occurrences of product pairs, that is counting how many countries export both. In this work, we compare networks and machine learning algorithms trained not only on country-level data, but also on firms, which is something not (...)
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  11. Changing Practice.Situated Learning - 2008 - In Ash Amin & Joanne Roberts (eds.), Community, Economic Creativity, and Organization. Oxford University Press. pp. 283--296.
     
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  12.  69
    Learning to Represent: Mathematics-first accounts of representation and their relation to natural language.David Wallace - unknown
    I develop an account of how mathematized theories in physics represent physical systems, in response to the frequent claim that any such account must presuppose a non-mathematized, and usually linguistic, description of the system represented. The account I develop contains a circularity, in that representation is a mathematical relation between the models of a theory and the system as represented by some other model --- but I argue that this circularity is not vicious, in any case refers in linguistic accounts (...)
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  13.  16
    Transformative Learning and the Rhythms of Individual and Collective Changes.Michel Alhadeff-Jones - forthcoming - Rhuthmos.
    Ce texte a déjà paru dans Nicolaides, A. & Holt D. , Spaces of Transformation and Transformation of Space, Proceedings of the XIth Transformative Learning Conference. New York : Teachers College, Columbia University, 2014, p. 107-109. Nous remercions Michel Alhadeff-Jones de nous avoir proposé de le reproduire ici. My research around the paradigm of complexity and the temporal and rhythmic dimensions of education - Sociologie – Nouvel article.
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  14. Learning to Speak Christian.[author unknown] - 2011
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  15.  6
    Evaluatlve learning.Eamon P. Fulcher - 2002 - In Simon C. Moore (ed.), Emotional Cognition: From Brain to Behaviour. Amsterdam: John Benjamins. pp. 44--75.
  16.  19
    Q-Learning Applied to Genetic Algorithm-Fuzzy Approach for On-Line Control in Autonomous Agents.Hengameh Sarmadi - 2009 - Journal of Intelligent Systems 18 (1-2):1-32.
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  17. Learning Incommensurate Concepts.Hayley Clatterbuck & Hunter Gentry - forthcoming - Synthese.
    A central task of developmental psychology and philosophy of science is to show how humans learn radically new concepts. Famously, Fodor has argued that such learning is impossible if concepts have definitional structure and all learning is hypothesis testing. We present several learning processes that can generate novel concepts. They yield transformations of the fundamental feature space, generating new similarity structures which can underlie conceptual change. This framework provides a tractable, empiricist-friendly account that unifies and shores up (...)
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  18.  16
    Learning a motor task under varied display conditions.Norman B. Gordon - 1959 - Journal of Experimental Psychology 57 (2):65.
  19.  18
    Learning and Living, 1790-1960.J. F. C. Harrison - 1962 - British Journal of Educational Studies 11 (1):78-79.
  20.  19
    Learning Strategies Adopted by Secondary School Students For Geography Courses.Fatih Aydin - 2011 - Journal of Turkish Studies 6:199-212.
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  21.  19
    Learning Health System — Moving from Ethical Frameworks to Practical Implementation.Stephanie R. Morain, Mary A. Majumder & Amy L. McGuire - 2019 - Journal of Law, Medicine and Ethics 47 (3):454-458.
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  22.  17
    Learning to learn in verbal discrimination learning with single- and double-function lists.John H. Mueller, Roy T. Bamber & Dennis J. Lissa - 1973 - Journal of Experimental Psychology 97 (2):182.
  23.  10
    Learning to Pray without words: The Influence of Martin Laird's A Sunlit Absence: Silence, Awareness, and Contemplation.Richard Peace - 2017 - Journal of Spiritual Formation and Soul Care 10 (2):345-350.
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  24.  15
    Learning by copying: The actor/actress and their models in the practices of copying, imitation and reactivation.Anne Pellois & Tomas Gonzalez - 2021 - Methodos 21.
    Malgré l’avènement de la figure de l’acteur créateur au tournant des XIXe et XXe siècles, les procédés de copie, d’imitation et de réactivation constituent une part non négligeable des outils convoqués dans les exercices spécifiques au jeu. Cette persistance, qui trouve son origine dans le Paradoxe sur le comédien de Diderot, se lit et se décline tout au long de l’histoire des théories du jeu, dans le recours fréquent à un modèle, dont le type varie (nature ou réel, arts plastiques, (...)
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  25.  10
    How to Prepare Students for the Information Age and Global Marketplace: Creative Learning in Action.Lyn Lesch - 2008 - Rowman & Littlefield Education.
    A discussion of updating teaching strategies to reflect changes in an increasingly technology-centered world includes an exploration of the process of learning to learn and advocates for expanding the connection between school and the adult world.
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  26.  31
    The Evolution of E-learning Management Systems.Nuno Sotero Alves da Silva, Gonçalo Jorge Morais da Costa, Mary Prior & Simon Rogerson - 2011 - International Journal of Cyber Ethics in Education 1 (3):12-24.
    The development of educational technologies is enhancing a distinctive feature of learning environments: the learner’s personalized environment. However, the current literature in e-learning seems to neglect an important discussion: will individuals and organizations face an enhancement concerning ethical dilemmas due to this evolution? To promote this discussion, this paper builds on a consideration of e-learning definition and its ethical dilemmas, and human-centred learning concept and its dimensions, to examine the implications of integrating social and cultural contexts. (...)
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  27.  40
    The Effectiveness of Language Used in E-Learning Courses.Agnieszka Przygoda - 2017 - Studies in Logic, Grammar and Rhetoric 52 (1):193-205.
    The notion of language in e-Learning is still not very clear from a technical as well as semantic point of view. In the era of Information Technology, it is more and more important to unify the principles of language used and its semantic meaning to be more simple and precise when taking into consideration online educational courses. During the last years, e-Learning courses have begun to be popular around the world as during an internet era, we tend to (...)
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  28. Category learning and adaptive benefits of aging.Angela Merritt, Linnea Karlsson & Edward T. Cokely - 2010 - In S. Ohlsson & R. Catrambone (eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society. Cognitive Science Society.
  29.  24
    Learning-Based Path Planning Algorithm in Ocean Currents for Multi-Glider.Wei Lan, Xiang Jin, Xin Chang, Tianlin Wang & Han Zhou - 2022 - Complexity 2022:1-17.
    In practical application studies of glider formations, ocean currents are a major influencing factor in their path planning. The purpose of this paper is to solve the path planning problem of glider formations in time-varying ocean currents and establish gliders, glider formation, and ocean current models based on existing data. The Doc-CNN architecture is tailored to conform to the operation and environment characteristics of gliders in practical application. After experiments, the algorithm of the improved architecture can be used in the (...)
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  30. Learning Theology: Tracking the Spirit of Christian Faith.[author unknown] - 2018
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  31.  30
    Learning and development in neural networks – the importance of prior experience.Gerry T. M. Altmann - 2002 - Cognition 85 (2):B43-B50.
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  32.  21
    Impolite Learning: Conduct and Community in the Republic of Letters, 1680-1750Anne Goldgar.David Sturdy - 1996 - Isis 87 (2):362-363.
  33.  16
    Learning structures of visual patterns from single instances.Yoshinori Suganuma - 1991 - Artificial Intelligence 50 (1):1-36.
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  34. Learning to Teach: The Cultural Transmission Analogy.Alanson Van Fleet - 1979 - Journal of Thought 14 (4):281-90.
     
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  35.  29
    Netiquette rules in online learning through the lens of digital citizenship scale in the post-corona era.Tahani Al-Khatib - 2023 - Journal of Information, Communication and Ethics in Society 21 (2):181-201.
    Purpose This study aims to investigate the trending term: “Netiquette” as an important element in the effective digital citizenship. The research suggests a systematic framework of netiquette rules in the field of online education based on the classical core rules of netiquette and according to the digital citizenship scale (DCS). The research also studies the corresponding responsibilities of both educators and students to raise awareness towards using technology in a balanced, safe, smart and ethical way as the shift towards the (...)
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  36.  18
    Discrimination learning in the T-maze based on the secondary reinforcing effects of shock termination.W. P. Bellingham, L. H. Storlien & R. J. Stebulis - 1975 - Bulletin of the Psychonomic Society 5 (4):327-328.
  37. Learning to think collectively : a response to the wicked problems of our times.Valerie A. Brown - 2018 - In Laura Kerslake & Rupert Wegerif (eds.), Theory of teaching thinking: international perspectives. New York, NY: Routledge.
     
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  38.  90
    What's Lacking in Online Learning? Dreyfus, Merleau‐Ponty and Bodily Affective Understanding.Dave Ward - 2018 - Journal of Philosophy of Education 52 (3):428-450.
    Skepticism about the limits of online learning is as old as online learning itself. As with other technologically-driven innovations in pedagogy, there are deep-seated worries that important educational goods might be effaced or obscured by the ways of teaching and learning that online methods allow. One family of such worries is inspired by reflections on the bodily basis of an important kind of understanding, and skepticism over whether this bodily basis can be inculcated in the absence of (...)
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  39.  38
    Studies in incidental learning: IX. A comparison of the methods of successive and single recalls.Leo Postman & Laura W. Phillips - 1961 - Journal of Experimental Psychology 61 (3):236.
  40. Cross‐Situational Learning of Phonologically Overlapping Words Across Degrees of Ambiguity.Karen E. Mulak, Haley A. Vlach & Paola Escudero - 2019 - Cognitive Science 43 (5):e12731.
    Cross‐situational word learning (XSWL) tasks present multiple words and candidate referents within a learning trial such that word–referent pairings can be inferred only across trials. Adults encode fine phonological detail when two words and candidate referents are presented in each learning trial (2 × 2 scenario; Escudero, Mulak, & Vlach, ). To test the relationship between XSWL task difficulty and phonological encoding, we examined XSWL of words differing by one vowel or consonant across degrees of within‐learning (...)
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  41.  7
    Practical Learning' and 'Dasan Jeong Yak-Yong' reflected in the mirror of South and North Korea.Seonhee Kim - 2020 - EPOCH AND PHILOSOPHY 31 (4):7-44.
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  42.  59
    Operant learning and selectionism: Risks and benefits of seeking interdisciplinary parallels.Richard W. Malott - 2001 - Behavioral and Brain Sciences 24 (3):544-544.
    Seeking parallels among disciplines can have both risks and benefits. Finding parallels may be a vacuous exercise in categorization, generating no new insights. And pointing to analogous functions may cause us to treat them as homologous. Hull et al. have provided a basis for the generation of insights in different selectionist areas, without confusing analogy with homology.
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  43.  22
    Sustainable development, e-learning and Web 3.0.Aidrina Binti Mohamed Sofiadin - 2014 - Journal of Information, Communication and Ethics in Society 12 (3):157-176.
    Purpose – The purpose of this paper is to present a descriptive literature review and a classification scheme for studies on sustainable development, e-learning and Web 3.0 that contribute toward sustainable e-learning. The aims are to discover and highlight some ideas on developing a sustainable learning in higher education in Malaysia. Design/methodology/approach – The paper examines the elements of e-learning, technology, application, sustainable development and teaching and learning principles that contribute toward a sustainable e-learning (...)
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  44.  15
    University Social Responsibility, Service Learning, and Students' Personal, Professional, and Civic Education.Márcia Coelho & Isabel Menezes - 2021 - Frontiers in Psychology 12:617300.
    The long-standing vision of universities as the “alma mater” of students and graduates is a demonstration of its role as sustaining the person, the expert/professional, and the citizen. This role has persisted in the face of rising global challenges such as the emergence of new learning spaces, the growing diversity of publics, the call for productivity and performativity, and the hope for a significant engagement with the community and the public good. These sometimes conflicting tendencies have also stimulated higher (...)
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  45.  15
    Statistical learning across passive listening adjusts perceptual weights of speech input dimensions.Alana J. Hodson, Barbara G. Shinn-Cunningham & Lori L. Holt - 2023 - Cognition 238 (C):105473.
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  46.  9
    Stimulus durations and total learning time in paired-associates learning.Calvin F. Nodine - 1965 - Journal of Experimental Psychology 69 (5):534.
  47.  12
    A Guide for Research Supervisors.David Black & Centre for Research Into Human Communication And Learning - 1994
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  48.  23
    Relationship between response learning and recall of feedback in tests of the law of effect.Langdon E. Longstreth - 1971 - Journal of Experimental Psychology 90 (1):149.
  49.  34
    Category learning: Things aren't so black and white.John R. Anderson - 1986 - Behavioral and Brain Sciences 9 (4):651-651.
  50. Causal learning in rats and humans: a minimal rational model.Michael R. Waldmann, Patricia W. Cheng, York Hagmeyer & Blaisdell & P. Aaron - 2008 - In Nick Chater & Mike Oaksford (eds.), The Probabilistic Mind: Prospects for Bayesian Cognitive Science. Oxford University Press.
     
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