Results for ' response-learning'

994 found
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  1.  26
    Responsible Learning About Risks Arising from Emerging Biotechnologies.Lotte Asveld & Britte Bouchaut - 2021 - Science and Engineering Ethics 27 (2):1-20.
    Genetic engineering techniques (e.g., CRISPR-Cas) have led to an increase in biotechnological developments, possibly leading to uncertain risks. The European Union aims to anticipate these by embedding the Precautionary Principle in its regulation for risk management. This principle revolves around taking preventive action in the face of uncertainty and provides guidelines to take precautionary measures when dealing with important values such as health or environmental safety. However, when dealing with ‘new’ technologies, it can be hard for risk managers to estimate (...)
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  2.  11
    Response learning in paired-associate lists as a function of intralist similarity.Benton J. Underwood, Willard N. Runquist & Rudolph W. Schulz - 1959 - Journal of Experimental Psychology 58 (1):70.
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  3.  36
    Layered vulnerability and researchers’ responsibilities: learning from research involving Kenyan adolescents living with perinatal HIV infection.Vicki Marsh, Amina Abubakar, Maureen Kelley, Alun Davies, Rita Njeru, Gladys Sanga, Scholastica M. Zakayo, Anderson Charo, Sassy Molyneux & Mary Kimani - 2024 - BMC Medical Ethics 25 (1):1-20.
    BackgroundCarefully planned research is critical to developing policies and interventions that counter physical, psychological and social challenges faced by young people living with HIV/aids, without increasing burdens. Such studies, however, must navigate a ‘vulnerability paradox’, since including potentially vulnerable groups also risks unintentionally worsening their situation. Through embedded social science research, linked to a cohort study involving Adolescents Living with HIV/aids (ALH) in Kenya, we develop an account of researchers’ responsibilities towards young people, incorporating concepts of vulnerability, resilience, and agency (...)
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  4. Authors' Response: Learning, Anticipation and the Brain.E. B. Roesch, M. Spencer, S. J. Nasuto, T. Tanay & J. M. Bishop - 2013 - Constructivist Foundations 9 (1):42-45.
    Upshot: Albeit mostly supportive of our work, the commentaries we received highlighted a few points that deserve additional explanation, with regard to the notion of learning in our model, the relationship between our model and the brain, as well as the notion of anticipation. This open discussion emphasizes the need for toy computer models, to fuel theoretical discussion and prevent business-as-usual from getting in the way of new ideas.
     
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  5.  13
    Low-Resolution Place and Response Learning Capacities in Down Syndrome.Mathilde Bostelmann, Floriana Costanzo, Lorelay Martorana, Deny Menghini, Stefano Vicari, Pamela Banta Lavenex & Pierre Lavenex - 2018 - Frontiers in Psychology 9.
    Down syndrome (DS), the most common genetic cause of intellectual disability, results from the partial or complete triplication of chromosome 21. Individuals with DS are impaired at using a high-resolution, allocentric spatial representation to learn and remember discrete locations in a controlled environment. Here, we assessed the capacity of individuals with DS to perform low-resolution spatial learning, depending on two competing memory systems: (1) the place learning system, which depends on the hippocampus and creates flexible relational representations of (...)
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  6.  46
    Place versus response learning in the simple T-maze.Hugh C. Blodgett & Kenneth McCutchan - 1947 - Journal of Experimental Psychology 37 (5):412.
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  7.  53
    Teaching democracy in an age of uncertainty: Place-responsive learning.Gilbert Burgh & Simone Thornton - 2021 - Abingdon, UK: Routledge.
    The strength of democracy lies in its ability to self-correct, to solve problems and adapt to new challenges. However, increased volatility, resulting from multiple crises on multiple fronts – humanitarian, financial, and environmental – is testing this ability. By offering a new framework for democratic education, Teaching Democracy in an Age of Uncertainty begins a dialogue with education professionals towards the reconstruction of education and by extension our social, cultural and political institutions. -/- This book is the first monograph on (...)
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  8.  20
    Of rescue and responsibility: Learning to live with limits.E. Haavi Morreim - 1994 - Journal of Medicine and Philosophy 19 (5):455-470.
    Universal access to health care is still a dream rather than a reality in the United States. This is partly because a rule of rescue, by impelling us to help people in need, urges us to ignore the limits of our health care policies wherever those limits would adversely affect a given individual. As the rule of rescue undermines whatever limits we set on health care entitlements, it can thwart the cost containment so essential to expanding access. Rather than accept (...)
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  9.  14
    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.
  10.  22
    Place and response learning in the white rat under simplified and mutually isolated conditions.Charles W. Hill & Leland E. Thune - 1952 - Journal of Experimental Psychology 43 (4):289.
  11.  56
    Personality Disorders and Responsibility: Learning from Peay.Walter Sinnott-Armstrong - 2011 - Philosophy, Psychiatry, and Psychology 18 (3):245-248.
    People with personality disorders should be treated fairly. Potential crime victims should be protected. That much is uncontroversial. The hard questions ask what is fair, when is protection adequate, and how should we achieve fairness and protection together. Peay outlines five main hurdles that the law must jump to reach these goals. All five raise serious challenges. To begin to address these challenges, we must first clarify what a personality disorder is. The notion of a personality disorder is defined very (...)
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  12.  8
    Signal learning and response learning.H. M. Jenkins - 1978 - Behavioral and Brain Sciences 1 (1):64-64.
  13.  9
    Various degrees within a single drive as cues for spatial response learning in the white rat.Robert Bloomberg & Wilse B. Webb - 1949 - Journal of Experimental Psychology 39 (5):628.
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  14. Studies in spatial learning. II. Place learning versus response learning.E. C. Tolman, B. F. Ritchie & D. Kalish - 1946 - Journal of Experimental Psychology 36 (3):221.
  15.  32
    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.
  16.  41
    Studies in spatial learning: VII. Place and response learning under different degrees of motivation.Edward C. Tolman & Henry Gleitman - 1949 - Journal of Experimental Psychology 39 (5):653.
  17.  26
    The von Restorff isolation effect with minimal response learning.Arthur R. Jensen - 1962 - Journal of Experimental Psychology 64 (2):123.
  18.  9
    The role of extramaze cues in place and response learning.Donald P. Scharlock - 1955 - Journal of Experimental Psychology 50 (4):249.
  19.  20
    Reactive inhibition as a factor in maze learning: II. The role of reactive inhibition in studies of place learning versus response learning.Merrell E. Thompson & Jean P. Thompson - 1949 - Journal of Experimental Psychology 39 (6):883.
  20.  9
    Backward learning when the same items serve as stimuli and responses.Robert K. Young & Paul C. Jennings - 1964 - Journal of Experimental Psychology 68 (1):64.
  21. Perceptual learning and reasons‐responsiveness.Zoe Jenkin - 2022 - Noûs 57 (2):481-508.
    Perceptual experiences are not immediately responsive to reasons. You see a stick submerged in a glass of water as bent no matter how much you know about light refraction. Due to this isolation from reasons, perception is traditionally considered outside the scope of epistemic evaluability as justified or unjustified. Is perception really as independent from reasons as visual illusions make it out to be? I argue no, drawing on psychological evidence from perceptual learning. The flexibility of perceptual learning (...)
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  22. The responsibility gap: Ascribing responsibility for the actions of learning automata.Andreas Matthias - 2004 - Ethics and Information Technology 6 (3):175-183.
    Traditionally, the manufacturer/operator of a machine is held (morally and legally) responsible for the consequences of its operation. Autonomous, learning machines, based on neural networks, genetic algorithms and agent architectures, create a new situation, where the manufacturer/operator of the machine is in principle not capable of predicting the future machine behaviour any more, and thus cannot be held morally responsible or liable for it. The society must decide between not using this kind of machine any more (which is not (...)
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  23.  21
    Failure to detect any effect of startbox delay on intertrial delayed-response learning.Sam Revusky, Harald Taukulis & Calvin Peddle - 1978 - Bulletin of the Psychonomic Society 12 (6):423-426.
  24.  34
    What is embodied: “A-not-b error” or delayed-response learning?George F. Michel - 2001 - Behavioral and Brain Sciences 24 (1):54-55.
    The procedures used to ensure reliable occurrences of the A-not-B error distort and miss essential features of Piaget's original observations. A model that meshes a mental event, highly restricted by testing procedures, to the dynamics of bodily movement is of limited value. To embody more than just perseverative reaching, the formal model must incorporate Piaget's essential features.
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  25. Learning Organization for Corporate Social Responsibility Implementation; Unravelling the intricate relationships between Organizational and Operational LO Characteristics.E. Osagie, R. Wesselink, Vincent Blok & M. Mulder - 2020 - Organization and Environment 1 (1).
    Because corporate social responsibility (CSR) is potentially beneficial for companies, it is important to understand the factors that improve a company’s CSR practice. Scholars hypothesize that facilitating learning organization characteristics, which are divided in characteristics at the organizational and the operational level, may improve CSR implementation. These characteristics stimulate companies and their members to be critical, learn from the past, and embrace change, but there is limited empirical evidence of this approach. This study addresses this gap by surveying 280 (...)
     
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  26.  12
    Item response theory in AI: Analysing machine learning classifiers at the instance level.Fernando Martínez-Plumed, Ricardo B. C. Prudêncio, Adolfo Martínez-Usó & José Hernández-Orallo - 2019 - Artificial Intelligence 271 (C):18-42.
  27.  50
    Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning.Tomislav Pavlović, Flavio Azevedo, Koustav De, Julián C. Riaño-Moreno, Marina Maglić, Theofilos Gkinopoulos, Patricio Andreas Donnelly-Kehoe, César Payán-Gómez, Guanxiong Huang, Jaroslaw Kantorowicz, Michèle D. Birtel, Philipp Schönegger, Valerio Capraro, Hernando Santamaría-García, Meltem Yucel, Agustin Ibanez, Steve Rathje, Erik Wetter, Dragan Stanojević, Jan-Willem van Prooijen, Eugenia Hesse, Christian T. Elbaek, Renata Franc, Zoran Pavlović, Panagiotis Mitkidis, Aleksandra Cichocka, Michele Gelfand, Mark Alfano, Robert M. Ross, Hallgeir Sjåstad, John B. Nezlek, Aleksandra Cislak, Patricia Lockwood, Koen Abts, Elena Agadullina, David M. Amodio, Matthew A. J. Apps, John Jamir Benzon Aruta, Sahba Besharati, Alexander Bor, Becky Choma, William Cunningham, Waqas Ejaz, Harry Farmer, Andrej Findor, Biljana Gjoneska, Estrella Gualda, Toan L. D. Huynh, Mostak Ahamed Imran, Jacob Israelashvili & Elena Kantorowicz-Reznichenko - forthcoming - Proceedings of the National Academy of Sciences: Nexus.
    At the beginning of 2020, COVID-19 became a global problem. Despite all the efforts to emphasize the relevance of preventive measures, not everyone adhered to them. Thus, learning more about the characteristics determining attitudinal and behavioral responses to the pandemic is crucial to improving future interventions. In this study, we applied machine learning on the multi-national data collected by the International Collaboration on the Social and Moral Psychology of COVID-19 (N = 51,404) to test the predictive efficacy of (...)
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  28. The responsibility gap: Ascribing responsibility for the actions of learning automata. [REVIEW]Andreas Matthias - 2004 - Ethics and Information Technology 6 (3):175-183.
    Traditionally, the manufacturer/operator of a machine is held (morally and legally) responsible for the consequences of its operation. Autonomous, learning machines, based on neural networks, genetic algorithms and agent architectures, create a new situation, where the manufacturer/operator of the machine is in principle not capable of predicting the future machine behaviour any more, and thus cannot be held morally responsible or liable for it. The society must decide between not using this kind of machine any more (which is not (...)
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  29.  52
    Response feedback and motor learning.Jack A. Adams, Ernest T. Goetz & Phillip H. Marshall - 1972 - Journal of Experimental Psychology 92 (3):391.
  30. Learning from Levinas: A Response.Gert Biesta - 2003 - Studies in Philosophy and Education 22 (1):61-68.
    In this paper I explore the question of how toapproach the writings of Emmanuel Levinas fromthe point of view of education. I argue thatLevinas has challenged the modern conception ofsubjectivity which underpins modern education.Instead of providing a new conception ofsubjectivity, his work should be understood asan attempt to account for the awakening of theuniqueness of the subject in ethical terms. Thecentral idea is that we come into presencethrough responding, through taking up – or notdenying – the undeniable responsibility whichprecedes our (...)
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  31. Learning robots and human responsibility.Dante Marino & Guglielmo Tamburrini - 2006 - International Review of Information Ethics 6:46-51.
    Epistemic limitations concerning prediction and explanation of the behaviour of robots that learn from experience are selectively examined by reference to machine learning methods and computational theories of supervised inductive learning. Moral responsibility and liability ascription problems concerning damages caused by learning robot actions are discussed in the light of these epistemic limitations. In shaping responsibility ascription policies one has to take into account the fact that robots and softbots - by combining learning with autonomy, pro-activity, (...)
     
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  32.  22
    Enriching the narratives we tell about ourselves and our identities: an educational response to populism and extremism.Laurance J. Splitter - 2022 - Educational Philosophy and Theory 54 (1):21-36.
    The normative ideals of democracy, trust and respect are under threat from the forces of populism and extremism. I argue for a recalibration of some basic ideas in the moral and social domains in which each person sees her/himself as one among others. I defend 0093The Principle of Personal Worth0094 which asserts that persons are more valuable than non-persons such as nations, religions, ethnicities, tribes, gangs, and cultures. The 0091collectivist0092 mentality denied by this principle is often held up against a (...)
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  33.  35
    Learning health systems, clinical equipoise and the ethics of response adaptive randomisation.Alex John London - 2018 - Journal of Medical Ethics 44 (6):409-415.
    To give substance to the rhetoric of ‘learning health systems’, a variety of novel trial designs are being explored to more seamlessly integrate research with medical practice, reduce study duration and reduce the number of participants allocated to ineffective interventions. Many of these designs rely on response adaptive randomisation. However, critics charge that RAR is unethical on the grounds that it violates the principle of equipoise. In this paper, I reconstruct critiques of RAR as holding that it is (...)
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  34.  24
    Responsible Leaders as Agents of World Benefit: Learnings from “Project Ulysses”.Nicola Pless & Thomas Maak - 2009 - Journal of Business Ethics 85 (S1):59-71.
    There is widespread agreement in both business and society that MNCs have an enormous potential for contributing to the betterment of the world, A paper from the Tomorrow's Leaders Group of the World Business Council for Sustainable Development). In fact, a discussion has evolved around the role of "Business as an Agent of World Benefit."¹ At the same time, there is also growing willingness among business leaders to spend time, expertise, and resources to help solve some of the most pressing (...)
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  35.  20
    Responsible Practices in the Wild: An Actor-Network Perspective on Mobile Apps in Learning as Translation(s).Oliver Laasch, Dirk C. Moosmayer & Frithjof Arp - 2020 - Journal of Business Ethics 161 (2):253-277.
    Competence to enact responsible practices, such as recycling waste or boycotting irresponsible companies, is core to learning for responsibility. We explore the role of apps in learning such responsible practices ‘in the wild,’ outside formal educational environments over a 3-week period. Learners maintained a daily diary in which they reflected on their learning of responsible practices with apps. Through a thematic analysis of 557 app mentions in the diaries, we identified five types of app-agency: cognitive, action, interpersonal, (...)
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  36.  28
    Putting responsible research and innovation into practice: a case study for biotechnology research, exploring impacts and RRI learning outcomes of public engagement for science students.Janice Limson - 2018 - Synthese 198 (Suppl 19):4685-4710.
    The responsible research and innovation framework seeks to bring science closer to society, with scientific research conducted not just for the benefit of society, but with role players in society engaging with scientists on research and innovation at every stage. A central focus of the RRI framework is the approach taken to embed these concepts in the higher education training of science students. In this study the direct engagement between science students and the public is explored as an opportunity for (...)
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  37.  13
    Muscle responses and their relation to rote learning.R. N. Berry & R. C. Davis - 1958 - Journal of Experimental Psychology 55 (2):188.
  38.  17
    Response availability versus differentiation in paired-associate learning.Alfred A. Baumeister, Donald A. Gordon & Franklin M. Berry - 1971 - Journal of Experimental Psychology 89 (2):293.
  39.  33
    Learning of a hurdle-jump response to escape cues paired with reduced reward or frustrative nonreward.Helen B. Daly - 1969 - Journal of Experimental Psychology 79 (1p1):146.
  40. Learning to think: A response to the language of thought argument for innateness.Christopher Viger - 2005 - Mind and Language 20 (3):313-25.
    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 (...)
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  41.  32
    Learning and performance on a key-pressing task as function of the degree of spatial stimulus-response correspondence.Robert E. Morin & David A. Grant - 1955 - Journal of Experimental Psychology 49 (1):39.
  42.  15
    Associative learning: Stimulus arrangement and response consistency.Dieter Vaitl - 1995 - Behavioral and Brain Sciences 18 (2):314-315.
    Studies on associative learning in normals and patients need appropriate dependent measures which are sensitive enough to reflect stimulus-specific responses and also consider the context in which the conditioning takes place. Patient's fear responses, once acquired, seem to be maintained by specific cognitive biases such as individual belief systems and a tendency to stay consistent with their previous judgments.
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  43.  12
    Compound and simple responses in paired-associate learning.Joseph L. Young & Robert L. Schiffer - 1971 - Journal of Experimental Psychology 91 (2):206.
  44.  12
    Paired-associate learning when the same items occur as stimuli and responses.Robert K. Young - 1961 - Journal of Experimental Psychology 61 (4):315.
  45.  50
    Response to Eva Alerby and Cecilia Ferm, "Learning Music: Embodied Experience in the Life-World".Christine A. Brown - 2005 - Philosophy of Music Education Review 13 (2):208-210.
    In lieu of an abstract, here is a brief excerpt of the content:Response to Eva Alerby and Cecilia Ferm, “Learning Music: Embodied Experience in the Life-World”Christine A. BrownI was recently asked to settle a friendly debate between two college graduates. The first, my daughter's boyfriend, argued that someone with talent and motivation could become as creative a composer without formal musical training as with it. The other, my daughter, vigorously countered that while someone might compose well on one's (...)
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  46.  32
    Response to Eva Alerby and Cecilia Ferm, "Learning Music: Embodied Experience in the Life-World".C. Victor Fung - 2005 - Philosophy of Music Education Review 13 (2):206-207.
    In lieu of an abstract, here is a brief excerpt of the content:Response to Eva Alerby and Cecilia Ferm, “Learning Music: Embodied Experience in the Life-World”C. Victor FungThe authors' choice of using phenomenology as a foundation of their inquiry is appropriate and appealing. They have, to a great extent, achieved their goal to explain music learning from a life-world approach. Descriptions of absolute musicality and relativistic musicality in the opening paragraphs remind me of the good old "nature (...)
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  47.  22
    Response interference in paired-associate learning.Leonard M. Horowitz & Suzanne R. Larsen - 1963 - Journal of Experimental Psychology 65 (3):225.
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  48.  33
    Response pretraining and subsequent paired-associate learning.Eli Saltz & Mark Felton - 1968 - Journal of Experimental Psychology 77 (2):258.
  49.  15
    Right-response preference in probability learning and reversal.Marilyn E. Miller - 1966 - Journal of Experimental Psychology 71 (5):776.
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  50.  15
    Learning response compounds having two critical components.Alvin J. North & James Harrington Jr - 1954 - Journal of Experimental Psychology 47 (3):173.
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