Results for ' response learning'

981 found
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  1.  16
    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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  2.  63
    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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  3.  37
    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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  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.  25
    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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  6.  20
    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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  7.  66
    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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  8.  41
    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.
  9.  54
    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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  10.  30
    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.
  11.  16
    The role of extramaze cues in place and response learning.Donald P. Scharlock - 1955 - Journal of Experimental Psychology 50 (4):249.
  12.  49
    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.
  13.  47
    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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  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.  29
    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.
  16.  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.
  17. 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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  18.  16
    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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  19.  25
    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.
  20.  14
    Signal learning and response learning.H. M. Jenkins - 1978 - Behavioral and Brain Sciences 1 (1):64-64.
  21.  43
    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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  22.  35
    The von Restorff isolation effect with minimal response learning.Arthur R. Jensen - 1962 - Journal of Experimental Psychology 64 (2):123.
  23. 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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  24.  85
    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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  25. 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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  26.  20
    Right-response preference in probability learning and reversal.Marilyn E. Miller - 1966 - Journal of Experimental Psychology 71 (5):776.
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  27.  19
    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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  28.  29
    Learning computer ethics and social responsibility with tabletop role-playing games.Katerina Zdravkova - 2014 - Journal of Information, Communication and Ethics in Society 12 (1):60-75.
    Purpose – Tabletop online role-playing games enable active learning appropriate for different ages and learner capabilities. They have also been implemented in computer and engineering ethics courses. The paper aims to discuss these issues. Design/methodology/approach – This paper presents the experience of implementing role-playing in several courses embedded in Web 2.0 environment, with an intention to confront complex and sometimes mutually conflicting concepts, and integrate them into a whole. Findings – Typical examples introducing two basic scenarios representing individual and (...)
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  29.  63
    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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  30.  21
    Learning response compounds having two critical components.Alvin J. North & James Harrington Jr - 1954 - Journal of Experimental Psychology 47 (3):173.
  31. 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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  32. Cross-Sector Alliance Learning and Effectiveness of Voluntary Codes of Corporate Social Responsibility.Jane E. Salk - 2006 - Business Ethics Quarterly 16 (2):211-234.
    Firms and industries increasingly subscribe to voluntary codes of conduct. These self-regulatory governance systems can be effective in establishing a more sustainable and inclusive global economy. However, these codes can also be largely symbolic, reactive measures to quell public criticism. Cross-sector alliances (between for-profit and nonprofit actors) present a learning platform for infusing participants with greater incentives to be socially responsible. They can provide multinationals new capabilities that allow them to more closely ally social responsibility with economic performance. This (...)
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  33. Response to M. Vicentini's comments on “studying conceptual change in learning physics”.D. I. Dykstra, R. A. Boyle & I. A. Monarch - 1993 - Science Education 77 (3):343-349.
     
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  34.  20
    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.
  35.  26
    Measuring Responsibility and Cooperation in Learning Teams in the University Setting: Validation of a Questionnaire.Benito León-del-Barco, Santiago Mendo-Lázaro, Elena Felipe-Castaño, Fernando Fajardo-Bullón & Damián Iglesias-Gallego - 2018 - Frontiers in Psychology 9.
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  36. Dopamine responses comply with basic assumptions of formal learning theory.Pascale Waelti, Anthony Dickinson & Wolfram Schultz - 2001 - Nature 412 (6842):43–8.
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  37. 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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  38. Authors’ Response: Seeking “Power” in Powerful Ideas, Systems Thinking and Affective Aspects of Learning.K. Makri, M. Daskolia & C. Kynigos - 2015 - Constructivist Foundations 10 (3):401-404.
    Upshot: The commentaries raise a plethora of issues, extending the article’s problematic in insightful ways. In this response, we chose to focus on two interesting views on the “powerful idea” in the constructionist sense, on systems versus causal-rule thinking and on the affective aspect of collaborative learning.
     
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  39.  27
    A Humanistic Narrative for Responsible Management Learning: An Ontological Perspective.Michael Pirson - 2020 - Journal of Business Ethics 162 (4):775-793.
    Why has responsible management been so difficult and why is the chorus of stakeholders demanding such responsibility getting louder? We argue that management learning has been framed within the narrative of economism. As such, we argue that managers need to be aware of the paradigmatic frame of the dominant economistic narrative and learn to transcend it. We also argue that for true managerial responsibility, an alternative humanistic narrative is more fit for purpose. This humanistic narrative is based on epistemological (...)
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  40.  56
    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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  41.  39
    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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  42.  21
    Learning and retention of paired adjectives as a function of percentage occurrence of response members.Rudolph W. Schulz & Willard N. Runquist - 1960 - Journal of Experimental Psychology 59 (6):409.
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  43.  29
    Responsible leadership: learning from Indian case studies.Venugopal Pingali - 2016 - Asian Journal of Business Ethics 5 (1-2):139-147.
    Focus on shareholders’ interests at the cost of other stakeholders’ interests and the ecosystem has brought into prominence the need for responsible leadership. This study builds a five-level framework for responsible leadership drawing on leadership styles from case studies presented at a National Convention on Responsible Leadership. For each of the five levels, the study further identifies the necessary condition and the sufficient conditions of the leader to develop responsible organization. This comprehensive framework combines levels identified by two earlier studies. (...)
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  44.  32
    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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  45. Response to M. Vicentini's “comment on the article 'studying conceptual change in learning physics'”.Dewy I. Dykstra, C. Franklin Boyle & Ira A. Monarch - 1993 - Science Education 77 (6):717-723.
     
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  46. Another Response to Iris M. Yob," A Feeling for Others: Music Education and Service Learning".Lucy Green - forthcoming - Philosophy of Music Education Review.
     
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  47.  20
    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.
  48.  37
    Discrimination learning under various combinations of food and shock for "correct" and "incorrect" responses.George J. Wischner, Richard C. Hall & Harry Fowler - 1964 - Journal of Experimental Psychology 67 (1):48.
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  49.  29
    Response properties of the position indicant in serial learning.John H. Mueller - 1970 - Journal of Experimental Psychology 84 (1):35.
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  50.  27
    Statistical learning and adaptive decision-making underlie human response time variability in inhibitory control.Ning Ma & Angela J. Yu - 2015 - Frontiers in Psychology 6.
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