Results for ' human trial and error learning'

994 found
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  1.  23
    Human trial-and-error learning under joint variation of locus of reward and type of pacing.Clyde E. Noble & Janet L. Noble - 1958 - Journal of Experimental Psychology 56 (2):103.
  2.  28
    Supplementary report: Response availability in human trial-and-error learning.Clyde E. Noble - 1957 - Journal of Experimental Psychology 53 (5):359.
  3.  19
    Effects of various asymptotic restrictions on human trial-and-error learning.Ridgely W. Chambers & Clyde E. Noble - 1961 - Journal of Experimental Psychology 61 (5):417.
  4.  16
    Trial and error learning in paramecium.J. W. French - 1940 - Journal of Experimental Psychology 26 (6):609.
  5.  27
    Trial and error learning with differential cues.H. E. Jones - 1945 - Journal of Experimental Psychology 35 (1):31.
  6.  12
    Simple trial and error learning: A study in psychological theory.C. L. Hull - 1930 - Psychological Review 37 (3):241-256.
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  7.  17
    Trial and error learning.Foster P. Boswell - 1947 - Psychological Review 54 (5):282-296.
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  8.  12
    Efficiency in Organism-Environment Information Exchanges: A Semantic Hierarchy of Logical Types Based on the Trial-and-Error Strategy Behind the Emergence of Knowledge.Mattia Berera - 2024 - Biosemiotics 17 (1):131-160.
    Based on Kolchinsky and Wolpert’s work on the semantics of autonomous agents, I propose an application of Mathematical Logic and Probability to model cognitive processes. In this work, I will follow Bateson’s insights on the hierarchy of learning in complex organisms and formalize his idea of applying Russell’s Type Theory. Following Weaver’s three levels for the communication problem, I link the Kolchinsky–Wolpert model to Bateson’s insights, and I reach a semantic and conceptual hierarchy in living systems as an explicative (...)
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  9.  15
    Compound trial-and-error learning as a function of response availability (nr). [REVIEW]Clyde E. Noble - 1955 - Journal of Experimental Psychology 49 (2):93.
  10.  23
    Reactively heterogeneous compound trial-and-error learning with distributed trials and terminal reinforcement.Clark L. Hull - 1947 - Journal of Experimental Psychology 37 (2):118.
  11.  24
    Reactively homogeneous compound trial-and-error learning with distributed trials and terminal reinforcement.Allen J. Sprow - 1947 - Journal of Experimental Psychology 37 (3):197.
  12.  9
    Reactively homogeneous compound trial-and-error learning with distributed trials and serial reinforcement.Arthur I. Gladstone - 1948 - Journal of Experimental Psychology 38 (3):289.
  13.  11
    Selection in "Trial and Error" Learning.W. R. Wilson - 1924 - Psychological Review 31 (2):150-160.
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  14.  13
    Trial and Error – Failing and Learning in Criminal Proceedings.Kati Hannken-Illjes, Livia Holden, Alexander Kozin & Thomas Scheffer - 2006 - International Journal for the Semiotics of Law - Revue Internationale de Sémiotique Juridique 20 (2):159-190.
    This paper addresses the selective mechanisms by which criminal proceedings produce strong arguments. It does so by focusing on the failing of argument themes (topoi) in the course of criminal proceedings, rather than on their career. In a further step, the notion of failing is bound to learning: different forms of failing point at different ways and places of learning. The study is comparative, relating cases from four different legal regimes (England, USA, Italy and Germany) that are taken (...)
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  15.  25
    Whole and part methods in trial and error learning.E. M. Hanawalt - 1934 - Journal of Experimental Psychology 17 (5):691.
  16.  65
    An experimental test of the sign-gestalt theory of trial and error learning.K. W. Spence & R. Lippitt - 1946 - Journal of Experimental Psychology 36 (6):491.
  17.  8
    The role of absolute initial response strength in simple trial-and-error learning.P. S. Siegel - 1945 - Journal of Experimental Psychology 35 (3):199.
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  18.  14
    The length-difficulty relationship in compound trial-and-error learning.Clyde E. Noble - 1957 - Journal of Experimental Psychology 54 (4):246.
  19.  7
    A Guide for Research Supervisors.David Black & Centre for Research Into Human Communication And Learning - 1994
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  20.  24
    Goal gradient, anticipation, and perseveration in compound trial-and-error learning.Chester James Hill - 1939 - Journal of Experimental Psychology 25 (6):566.
  21.  15
    Limits of learning by trial and error.J. Peterson - 1926 - Journal of Experimental Psychology 9 (1):45.
  22.  4
    Learning to spell as a function of trial-and-error performance or observation.Melvin H. Marx & Kathleen Marx - 1976 - Bulletin of the Psychonomic Society 8 (3):153-155.
  23.  36
    The Missing Link Between Memory and Reinforcement Learning.Christian Balkenius, Trond A. Tjøstheim, Birger Johansson, Annika Wallin & Peter Gärdenfors - 2020 - Frontiers in Psychology 11.
    Reinforcement learning systems usually assume that a value function is defined over all states that can immediately give the value of a particular state or action. These values are used by a selection mechanism to decide which action to take. In contrast, when humans and animals make decisions, they collect evidence for different alternatives over time and take action only when sufficient evidence has been accumulated. We have previously developed a model of memory processing that includes semantic, episodic and (...)
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  24.  5
    Can Mindfulness Help to Alleviate Loneliness? A Systematic Review and Meta-Analysis.Siew Li Teoh, Vengadesh Letchumanan & Learn-Han Lee - 2021 - Frontiers in Psychology 12.
    Objective: Mindfulness-based intervention has been proposed to alleviate loneliness and improve social connectedness. Several randomized controlled trials have been conducted to evaluate the effectiveness of MBI. This study aimed to critically evaluate and determine the effectiveness and safety of MBI in alleviating the feeling of loneliness.Methods: We searched Medline, Embase, PsycInfo, Cochrane CENTRAL, and AMED for publications from inception to May 2020. We included RCTs with human subjects who were enrolled in MBI with loneliness as an outcome. The quality (...)
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  25.  29
    Human delayed-reward learning with different lengths of task.Clyde E. Noble & Wayne T. Alcock - 1958 - Journal of Experimental Psychology 56 (5):407.
  26.  25
    Teaching & Learning Guide for: Full Disclosure of the ‘Raw Data’ of Research on Humans: Citizens’ Rights, Product Manufacturers’ Obligations and the Quality of the Scientific Database.Dennis J. Mazur - 2011 - Philosophy Compass 6 (2):152-157.
    This guide accompanies the following article(s): ‘Full Disclosure of the “Raw Data” of Research on Humans: Citizens’ Rights, Product Manufacturer’s Obligations and the Quality of the Scientific Database.’Philosophy Compass 6/2 (2011): 90–99. doi: 10.1111/j.1747‐9991.2010.00376.x Author’s Introduction Securing consent (and informed consent) from patients and research study participants is a key concern in patient care and research on humans. Yet, the legal doctrines of consent and informed consent differ in their applications. In patient care, the judicial doctrines of consent and informed (...)
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  27.  32
    On the specific role of the cerebellum in motor learning and cognition: Clues from PET activation and lesion studies in man.W. T. Thach - 1996 - Behavioral and Brain Sciences 19 (3):411-433.
    Brindley proposed that we initially generate movements , under higher cerebral control. As the movement is practiced, the cerebellum learns to link within itself the context in which the movement is made to the lower level movement generators. Marr and Albus proposed that the linkage is established by a special input from the inferior olive, which plays upon an input-output element within the cerebellum during the period of the learning. When the linkage is complete, the occurrence of the context (...)
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  28. E. Narmous, The Analysis and Cognition of Melodic Complexity. Chicago.B. J. Baars, Human Error New, R. A. Finke, V. A. Bradley, N. J. Hillsdale, Leab de Boysson-Bardies, S. de Schonen, P. Jusczyk, P. MacNeilage & J. Morton - 1994 - Cognition 52:159-162.
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  29.  11
    Short-Term Classification Learning Promotes Rapid Global Improvements of Information Processing in Human Brain Functional Connectome.Antonio G. Zippo, Isabella Castiglioni, Jianyi Lin, Virginia M. Borsa, Maurizio Valente & Gabriele E. M. Biella - 2020 - Frontiers in Human Neuroscience 13:482492.
    Classification learning is a preeminent human ability within the animal kingdom but the key mechanisms of brain networks regulating learning remain mostly elusive. Recent neuroimaging advancements have depicted human brain as a complex graph machinery where brain regions are nodes and coherent activities among them represent the functional connections. While long-term motor memories have been found to alter functional connectivity in the resting human brain, a graph topological investigation of the short-time effects of learning (...)
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  30.  36
    Learning: An evolutionary analysis.Joanna Swann - 2009 - Educational Philosophy and Theory 41 (3):256-269.
    This paper draws on the philosophy of Karl Popper to present a descriptive evolutionary epistemology that offers philosophical solutions to the following related problems: ‘What happens when learning takes place?’ and ‘What happens in human learning?’ It provides a detailed analysis of how learning takes place without any direct transfer of information from the environment to the learner, and it significantly extends the author's earlier published work on this topic. She proposes that learning should be (...)
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  31.  16
    Human probability learning with forced training trials and certain and uncertain outcome choice trials.James K. Arima - 1965 - Journal of Experimental Psychology 70 (1):43.
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  32.  35
    Implicit Transfer of Reversed Temporal Structure in Visuomotor Sequence Learning.Kanji Tanaka & Katsumi Watanabe - 2014 - Cognitive Science 38 (3):565-579.
    Some spatio-temporal structures are easier to transfer implicitly in sequential learning. In this study, we investigated whether the consistent reversal of triads of learned components would support the implicit transfer of their temporal structure in visuomotor sequence learning. A triad comprised three sequential button presses ([1][2][3]) and seven consecutive triads comprised a sequence. Participants learned sequences by trial and error, until they could complete it 20 times without error. Then, they learned another sequence, in which (...)
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  33. Phase transitions in learning.G. Vetter, M. Stadler & J. D. Haynes - 1997 - Journal of Mind and Behavior 18 (2-3):335-350.
    Two classic learning situations are critically reviewed and interpreted from a synergetic point of view: human learning of complex skills, and animal discrimination learning. Both show typical characteristics of nonlinear phase transitions: instability, fluctuations, critical slowing down and reorganisation. Plateaus in the acquisition curves of complex skills can be viewed as phases of arrested progress in which a reorganisation of simple skills is necessary before their integration into complex units is possible. Fluctuations and critical slowing down (...)
     
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  34.  46
    Model-Based Influences on Humans' Choices and Striatal Prediction Errors.Nathaniel D. Daw, Samuel J. Gershman, Ben Seymour, Peter Dayan & Raymond J. Dolan - 2011 - Neuron 69 (6):1204-1215.
    The mesostriatal dopamine system is prominently implicated in model-free reinforcement learning, with fMRI BOLD signals in ventral striatum notably covarying with model-free prediction errors. However, latent learning and devaluation studies show that behavior also shows hallmarks of model-based planning, and the interaction between model-based and model-free values, prediction errors, and preferences is underexplored. We designed a multistep decision task in which model-based and model-free influences on human choice behavior could be distinguished. By showing that choices reflected both (...)
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  35. The Legacy of the Meno Paradox: Plato and Aristotle on Learning and Error.Scott M. Labarge - 2000 - Dissertation, The University of Arizona
    This thesis will argue that Plato's influential philosophical puzzle known as the Meno Paradox and the related Problem of False Belief are a more serious threat to Plato's philosophical programme than many interpreters recognize. Furthermore, Plato's most obvious candidate for a solution to these problems, the Theory of Recollection, is not sufficient to explain how the Paradox misunderstands the epistemic processes of learning which it treats. ;This failure of Plato's account motivates a close consideration of Aristotle's sophisticated attempt to (...)
     
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  36.  13
    Blank-trial probes and introtacts in human discrimination learning.David Karpf & Marvin Levine - 1971 - Journal of Experimental Psychology 90 (1):51.
  37.  16
    Primary stimulus generalization in discrimination learning as a function of number of trials and incidental cue differences.Leopold O. Walder - 1961 - Journal of Experimental Psychology 61 (2):178.
  38.  37
    The neural basis of human error processing: Reinforcement learning, dopamine, and the error-related negativity.Clay B. Holroyd & Michael G. H. Coles - 2002 - Psychological Review 109 (4):679-709.
  39.  20
    Learning Causal Structure through Local Prediction-error Learning.Sarah Wellen & David Danks - unknown
    Research on human causal learning has largely focused on strength learning, or on computational-level theories; there are few formal algorithmic models of how people learn causal structure from covariations. We introduce a model that learns causal structure in a local manner via prediction-error learning. This local learning is then integrated dynamically into a unified representation of causal structure. The model uses computationally plausible approximations of rational learning, and so represents a hybrid between the (...)
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  40.  76
    Reliable Reasoning: Induction and Statistical Learning Theory.Gilbert Harman & Sanjeev Kulkarni - 2007 - Bradford.
    In _Reliable Reasoning_, Gilbert Harman and Sanjeev Kulkarni -- a philosopher and an engineer -- argue that philosophy and cognitive science can benefit from statistical learning theory, the theory that lies behind recent advances in machine learning. The philosophical problem of induction, for example, is in part about the reliability of inductive reasoning, where the reliability of a method is measured by its statistically expected percentage of errors -- a central topic in SLT. After discussing philosophical attempts to (...)
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  41.  88
    Trial and error predicates and the solution to a problem of Mostowski.Hilary Putnam - 1965 - Journal of Symbolic Logic 30 (1):49-57.
  42.  31
    The brain, the artificial neural network and the snake: why we see what we see.Carloalberto Treccani - forthcoming - AI and Society:1-9.
    For millions of years, biological creatures have dealt with the world without being able to see it; however, the change in the atmospheric condition during the Cambrian period and the subsequent increase of light, triggered the sudden evolution of vision and the consequent evolutionary benefits. Nevertheless, how from simple organisms to more complex animals have been able to generate meaning from the light who fell in their eyes and successfully engage the visual world remains unknown. As shown by many psychophysical (...)
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  43.  53
    Uncertainty, error and informed consent to challenge trials of COVID-19 vaccines: response to Steel et al.Arnon Keren & Ori Lev - 2020 - Journal of Medical Ethics 46 (12):813-814.
    In a recent article, Steel, Buchak and Eyal argue that current levels of uncertainty do not present a good reason to bar controlled human infection trials of COVID-19 vaccines from proceeding. We argue that their argumentation for this conclusion is flawed. SBE are mistaken about the effects which different forms of ignorance have on participants’ ability to provide valid informed consent. Decision-makers considering whether to allow such trials, we argue, must ultimately consider the likelihood that consent to participation in (...)
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  44. Is There a Moral Duty to Obey the Law?John Hasnas - 2013 - Social Philosophy and Policy 30 (1-2):450-479.
    This essay argues that there can be a duty to obey the law when it is produced by the evolutionary forces at work in the customary and common law. Human beings' inherent epistemic limitations mean that they must rely on the trial and error learning built into the common law process to discover rules that facilitate peaceful social interaction. Hence, a duty to obey the law produced by the common law process can arise from individuals' natural (...)
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  45. Trial and error mathematics: Dialectical systems and completions of theories.Luca San Mauro, Jacopo Amidei, Uri Andrews, Duccio Pianigiani & Andrea Sorbi - 2019 - Journal of Logic and Computation 1 (29):157-184.
    This paper is part of a project that is based on the notion of a dialectical system, introduced by Magari as a way of capturing trial and error mathematics. In Amidei et al. (2016, Rev. Symb. Logic, 9, 1–26) and Amidei et al. (2016, Rev. Symb. Logic, 9, 299–324), we investigated the expressive and computational power of dialectical systems, and we compared them to a new class of systems, that of quasi-dialectical systems, that enrich Magari’s systems with a (...)
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  46.  23
    Human values and the future of technology: a declaration of responsibility.Ben Shneiderman - 1999 - Acm Sigcas Computers and Society 29 (3):5-9.
    We can make a difference in shaping the future by ensuring that computers "serve human needs." By making explicit the enduring values that we hold dear we can guide computer system designers and developers for the next decade, century, and thereafter. After setting our high-level goals we can pursue the components and seek the process for fulfilling them. High-level goals might include peace, excellent health care, adequate nutrition, accessible education, communication, freedom of expression, support for creative exploration, safety, and (...)
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  47.  11
    Putting authentic learning on trial: Using trials as a pedagogical model for teaching in the humanities.Jessica Riddell - 2018 - Arts and Humanities in Higher Education 17 (4):410-432.
    Research on authentic learning has been predominantly focussed on skills-based training: there is a paucity of research on models of authentic learning available for adaptation in the humanities undergraduate classroom. In this article, I will seek to address this gap by proposing that legal trials are ideal models for designing authentic learning scenarios in undergraduate teaching and learning contexts, with a specific focus on the humanities. First, I discuss why and how the structure of legal trials (...)
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  48.  31
    Cognitive Error and Contemplative Practices: The Cultivation of Discernment in Mind and Heart.Wesley J. Wildman - 2009 - Buddhist-Christian Studies 29:61-82.
    In lieu of an abstract, here is a brief excerpt of the content:Cognitive Error and Contemplative Practices:The Cultivation of Discernment in Mind and HeartWesley J. WildmanBrains are amazing organs in all creatures with central nervous systems and especially in human beings. But they are not perfect. Without forgetting the larger success story of cognitive evolution, I want to explore the way that cognitive biases sometimes produce errors in both religious and secular social settings and how such errors can (...)
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  49.  27
    Veganic farming in the United States: farmer perceptions, motivations, and experiences.Mona Seymour & Alisha Utter - 2021 - Agriculture and Human Values 38 (4):1139-1159.
    Veganic agriculture, often described as farming that is free of synthetic and animal-based inputs, represents an alternative to chemical-based industrial agriculture and the prevailing alternative, organic agriculture, respectively. Despite the promise of veganic methods in diverse realms such as food safety, environmental sustainability, and animal liberation, it has a small literature base. This article draws primarily on interviews conducted in 2018 with 25 veganic farmers from 19 farms in the United States to establish some baseline empirical research on this farming (...)
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  50.  13
    Trial-and-error ethics: experimenting with non-heartbeating cadaver organ donation.Renée C. Fox - 1995 - Cambridge Quarterly of Healthcare Ethics 5 (2):292-295.
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