Results for 'Lee Michael Badger'

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  1. Phenomenology as the Original Science of Life in Heidegger’s Early Freiburg Lectures.Lee Michael Badger - 2017 - Journal of the British Society for Phenomenology 48 (1):28-43.
    The aim of this essay is to introduce an original and radical phenomenology of life into Heidegger’s earliest lectures at Freiburg University. The motivation behind this aim lies in the exclusion of life from the existential analytic despite Heidegger’s preoccupation with the question of life during this very early period. Principally, the essay demonstrates how Husserl’s phenomenological insight into the intentionality of life has the potential to be transformed into a living aporia. Although this demonstration is set within the general (...)
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  2.  30
    Writing the poetic soul of philosophy: essays in honor of Michael Davis.Michael Davis & Denise Schaeffer (eds.) - 2019 - South Bend, Indiana: St. Augustine's Press.
    What is it about the nature of "soul" that makes it so difficult to adequately capture its complexity in a strictly discursive account? Why do some of the most profound human experiences elude our attempts to theorize them? How can a written document do justice to the dynamic activity of thinking, as opposed to merely presenting a collection of thoughts-as-artifacts? Finally, what can we learn about the activity of philosophizing, and about the human soul, by reflecting on the possibilities and (...)
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  3.  8
    Reason-based deference or ethnocentric inclusivity? Avery Kolers, Richard Rorty, and the motivational force of global solidarity.Lee Michael Shults - 2023 - Journal of Global Ethics 19 (1):6-21.
    This article uses what Patti Tamara Lenard refers to as the cosmopolitan problem of motivation to discuss the roles of loyalty in two philosophical accounts of global solidarity. Avery Kolers’ Kantian, deontological approach to solidarity as reason-based deference is contrasted with Richard Rorty's controversial, anti-Kantian description of solidarity as ethnocentric inclusivity generated through sentimental education. This article offers critical reflections on the work of these two influential thinkers and combines elements of their theories to contribute a limited but useful response (...)
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    Neural Network and Tree Search Algorithms for the Generation of Path-Following (Trail-Making) Tests.Michael D. Lee, Mark Brown & Douglas Vickers - 1997 - Journal of Intelligent Systems 7 (1-2):117-144.
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  5.  49
    A Survey of Model Evaluation Approaches With a Tutorial on Hierarchical Bayesian Methods.Richard M. Shiffrin, Michael D. Lee, Woojae Kim & Eric-Jan Wagenmakers - 2008 - Cognitive Science 32 (8):1248-1284.
    This article reviews current methods for evaluating models in the cognitive sciences, including theoretically based approaches, such as Bayes factors and minimum description length measures; simulation approaches, including model mimicry evaluations; and practical approaches, such as validation and generalization measures. This article argues that, although often useful in specific settings, most of these approaches are limited in their ability to give a general assessment of models. This article argues that hierarchical methods, generally, and hierarchical Bayesian methods, specifically, can provide a (...)
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  6. New Prospects for Organizational Democracy? How the Joint Pursuit of Social and Financial Goals Challenges Traditional Organizational Designs.Julie Battilana, Michael Fuerstein & Michael Y. Lee - 2018 - In Subramanian Rangan (ed.), Capitalism Beyond Mutuality?: Perspectives Integrating Philosophy and Social Science. Oxford: Oxford University Press. pp. 256-288.
    Some interesting exceptions notwithstanding, the traditional logic of economic efficiency has long favored hierarchical forms of organization and disfavored democracy in business. What does the balance of arguments look like, however, when values besides efficient revenue production are brought into the picture? The question is not hypothetical: In recent years, an ever increasing number of corporations have developed and adopted socially responsible behaviors, thereby hybridizing aspects of corporate businesses and social organizations. We argue that the joint pursuit of financial and (...)
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  7.  19
    A Bayesian approach to diffusion process models of decision-making.Joachim Vandekerckhove, Francis Tuerlinckx & Michael Lee - 2008 - In B. C. Love, K. McRae & V. M. Sloutsky (eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society. Cognitive Science Society. pp. 1429--1434.
  8.  34
    A Model of Knower‐Level Behavior in Number Concept Development.Michael D. Lee & Barbara W. Sarnecka - 2010 - Cognitive Science 34 (1):51-67.
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  9. Learned categorical perception for natural faces.Daniel Joseph Navarro, Michael David Lee & H. C. Nikkerud - manuscript
     
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  10.  24
    Number-knower levels in young children: Insights from Bayesian modeling.Michael D. Lee & Barbara W. Sarnecka - 2011 - Cognition 120 (3):391-402.
  11.  18
    Bayesian statistical inference in psychology: Comment on Trafimow (2003).Michael D. Lee & Eric-Jan Wagenmakers - 2005 - Psychological Review 112 (3):662-668.
  12.  27
    Sequential sampling models of human text classification.Michael D. Lee & Elissa Y. Corlett - 2003 - Cognitive Science 27 (2):159-193.
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  13.  26
    A Hierarchical Bayesian Model of Human Decision‐Making on an Optimal Stopping Problem.Michael D. Lee - 2006 - Cognitive Science 30 (3):1-26.
    We consider human performance on an optimal stopping problem where people are presented with a list of numbers independently chosen from a uniform distribution. People are told how many numbers are in the list, and how they were chosen. People are then shown the numbers one at a time, and are instructed to choose the maximum, subject to the constraint that they must choose a number at the time it is presented, and any choice below the maximum is incorrect. We (...)
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  14.  31
    Exemplars, Prototypes, Similarities, and Rules in Category Representation: An Example of Hierarchical Bayesian Analysis.Michael D. Lee & Wolf Vanpaemel - 2008 - Cognitive Science 32 (8):1403-1424.
    This article demonstrates the potential of using hierarchical Bayesian methods to relate models and data in the cognitive sciences. This is done using a worked example that considers an existing model of category representation, the Varying Abstraction Model (VAM), which attempts to infer the representations people use from their behavior in category learning tasks. The VAM allows for a wide variety of category representations to be inferred, but this article shows how a hierarchical Bayesian analysis can provide a unifying explanation (...)
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  15. Extending and testing the Bayesian theory of generalization.Daniel J. Navarro, Michael D. Lee, Matthew J. Dry & Benjamin Schultz - 2008 - In B. C. Love, K. McRae & V. M. Sloutsky (eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society. Cognitive Science Society.
     
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  16. Learning to adapt evidence thresholds in decision making.Ben R. Newell & Michael D. Lee - 2009 - In N. A. Taatgen & H. van Rijn (eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society.
     
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  17.  30
    Finding feature representations of stimuli: Combining feature generation and similarity judgment tasks.Matthew D. Zeigenfuse & Michael D. Lee - 2008 - In B. C. Love, K. McRae & V. M. Sloutsky (eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society. Cognitive Science Society. pp. 1825--1830.
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  18.  22
    Heuristics for choosing features to represent stimuli.Matthew D. Zeigenfuse & Michael D. Lee - 2010 - In S. Ohlsson & R. Catrambone (eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society. Cognitive Science Society. pp. 1565--1570.
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  19.  48
    An empirical evaluation of models of text document similarity.Michael David Lee, B. M. Pincombe & Matthew Brian Welsh - unknown
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  20.  27
    Individual differences in attention during category learning.Michael D. Lee & Ruud Wetzels - 2010 - In S. Ohlsson & R. Catrambone (eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society. Cognitive Science Society. pp. 387--392.
  21. Liberation Theology’s Transcendent Moment: The Work of Xavier Zubiri and Ignacio Ellacur\’ia as Noncontrastive Discourse.Michael E. Lee - 2003 - Journal of Religion 83 (2):226–243.
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  22. The accuracy of small-group estimation and the wisdom of crowds.Michael D. Lee & Jenny Shi - 2010 - In S. Ohlsson & R. Catrambone (eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society. Cognitive Science Society. pp. 1124--1129.
     
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  23.  11
    The German Mittelweg: Garden Theory and Philosophy in the Time of Kant.Michael G. Lee - 2007 - Routledge.
    In the 1790s, a close-knit group of German philosophers published several garden theory texts. These works are unique in that a close-knit group of philosophers had never before--and has not since--produced so many works on the topic of garden design. In essence, this cohort sought to imbue the most visionary concepts that had been inherited from the German garden tradition with the intellectual resources that were newly available through Kant’s critical philosophy. The most important of these concepts was the prescription (...)
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  24.  5
    The German "Mittelweg": Garden Theory and Philosophy in the Time of Kant.Michael G. Lee - 2007 - Routledge.
    In the 1790s, a close-knit group of German philosophers published several garden theory texts. These works are unique in that a close-knit group of philosophers had never before--and has not since--produced so many works on the topic of garden design. In essence, this cohort sought to imbue the most visionary concepts that had been inherited from the German garden tradition with the intellectual resources that were newly available through Kant’s critical philosophy. The most important of these concepts was the prescription (...)
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  25.  48
    Depression, suicide, and the right to refuse life-sustaining treatment.Linda Ganzini, Michael A. Lee, R. T. Heintz & J. D. Bloom - 1993 - Journal of Clinical Ethics 4 (4):337.
  26.  34
    Quantum models of cognition as Orwellian newspeak.Michael D. Lee & Wolf Vanpaemel - 2013 - Behavioral and Brain Sciences 36 (3):295-296.
  27.  15
    Time-varying boundaries for diffusion models of decision making and response time.Shunan Zhang, Michael D. Lee, Joachim Vandekerckhove, Gunter Maris & Eric-Jan Wagenmakers - 2014 - Frontiers in Psychology 5:112331.
    Diffusion models are widely-used and successful accounts of the time course of two-choice decision making. Most diffusion models assume constant boundaries, which are the threshold levels of evidence that must be sampled from a stimulus to reach a decision. We summarize theoretical results from statistics that relate distributions of decisions and response times to diffusion models with time-varying boundaries. We then develop a computational method for finding time-varying boundaries from empirical data, and apply our new method to two problems. The (...)
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  28.  32
    Decision Making and Confidence Given Uncertain Advice.Michael D. Lee & Matthew J. Dry - 2006 - Cognitive Science 30 (6):1081-1095.
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  29. Inferring Expertise in Knowledge and Prediction Ranking Tasks.Michael D. Lee, Mark Steyvers, Mindy de Young & Brent Miller - 2012 - Topics in Cognitive Science 4 (1):151-163.
    We apply a cognitive modeling approach to the problem of measuring expertise on rank ordering problems. In these problems, people must order a set of items in terms of a given criterion (e.g., ordering American holidays through the calendar year). Using a cognitive model of behavior on this problem that allows for individual differences in knowledge, we are able to infer people's expertise directly from the rankings they provide. We show that our model-based measure of expertise outperforms self-report measures, taken (...)
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  30.  18
    Correcting the SIMPLE model of free recall.Michael D. Lee & James P. Pooley - 2013 - Psychological Review 120 (1):293-296.
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  31.  26
    Extending bayesian concept learning to deal with representational complexity and adaptation.Michael D. Lee - 2001 - Behavioral and Brain Sciences 24 (4):685-686.
    While Tenenbaum and Griffiths impressively consolidate and extend Shepard's research in the areas of stimulus representation and generalization, there is a need for complexity measures to be developed to control the flexibility of their “hypothesis space” approach to representation. It may also be possible to extend their concept learning model to consider the fundamental issue of representational adaptation. [Tenenbaum & Griffiths].
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  32.  42
    In praise of ecumenical Bayes.Michael D. Lee - 2011 - Behavioral and Brain Sciences 34 (4):206-207.
    Jones & Love (J&L) should have given more attention to Agnostic uses of Bayesian methods for the statistical analysis of models and data. Reliance on the frequentist analysis of Bayesian models has retarded their development and prevented their full evaluation. The Ecumenical integration of Bayesian statistics to analyze Bayesian models offers a better way to test their inferential and predictive capabilities.
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  33.  5
    “I Think You Are Trustworthy, Need I Say More?” The Factor Structure and Practicalities of Trustworthiness Assessment.Michael A. Lee, Gene M. Alarcon & August Capiola - 2022 - Frontiers in Psychology 13.
    Two popular models of trustworthiness have garnered support over the years. One has postulated three aspects of trustworthiness as state-based antecedents to trust. Another has been interpreted to comprise two aspects of trustworthiness. Empirical data shows support for both models, and debate remains as to the theoretical and practical reasons researchers may adopt one model over the other. The present research aimed to consider this debate by investigating the factor structure of trustworthiness. Taking items from two scales commonly employed to (...)
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  34.  24
    Postscript: Bayesian Statistical Inference in Psychology: Comment on Trafimow (2003).Michael D. Lee & Eric-Jan Wagenmakers - 2005 - Psychological Review 112 (3):668-668.
  35.  37
    A Model‐Based Approach to the Wisdom of the Crowd in Category Learning.Irina Danileiko & Michael D. Lee - 2018 - Cognitive Science 42 (S3):861-883.
    We apply the “wisdom of the crowd” idea to human category learning, using a simple approach that combines people's categorization decisions by taking the majority decision. We first show that the aggregated crowd category learning behavior found by this method performs well, learning categories more quickly than most or all individuals for 28 previously collected datasets. We then extend the approach so that it does not require people to categorize every stimulus. We do this using a model‐based method that predicts (...)
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  36. Repeated judgments in elicitation tasks: efficacy of the MOLE method.Matthew B. Welsh, Michael D. Lee & Steve H. Begg - 2009 - In N. A. Taatgen & H. van Rijn (eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society.
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  37.  19
    Evaluating the complexity and falsifiability of psychological models.Manuel Villarreal, Alexander Etz & Michael D. Lee - 2023 - Psychological Review 130 (4):853-872.
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  38.  10
    IIoT and cyber-resilience.Sebastian Gajek, Michael Lees & Christoph Jansen - forthcoming - AI and Society:1-11.
    Contemporary business often encompasses or aspires towards the automated, networked production of industrial goods across transnational supply chains that have many digitalized interfaces. This allows competitive operations in time, costs, and quality, which have been widely discussed. On the downside, it entails cyber threats with significant risks for society in areas including business, environment, and health. Hence, to adequately manage these risks in the emerging digital world, there is a vital necessity to raise awareness, establish, maintain, and further develop cyber-security (...)
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  39.  31
    Towards a dynamic connectionist model of memory.Douglas Vickers & Michael D. Lee - 1997 - Behavioral and Brain Sciences 20 (1):40-41.
    Glenberg's account falls short in several respects. Besides requiring clearer explication of basic concepts, his account fails to recognize the autonomous nature of perception. His account of what is remembered, and its description, is too static. His strictures against connectionist modeling might be overcome by combining the notions of psychological space and principled learning in an embodied and situated network.
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  40.  10
    The Relationship of Insufficient Effort Responding and Response Styles: An Online Experiment.Gene M. Alarcon & Michael A. Lee - 2022 - Frontiers in Psychology 12.
    While self-report data is a staple of modern psychological studies, they rely on participants accurately self-reporting. Two constructs that impede accurate results are insufficient effort responding and response styles. These constructs share conceptual underpinnings and both utilized to reduce cognitive effort when responding to self-report scales. Little research has extensively explored the relationship of the two constructs. The current study explored the relationship of the two constructs across even-point and odd-point scales, as well as before and after data cleaning procedures. (...)
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  41. The perceptual organization of point constellations.Matthew J. Dry, Daniel J. Navarro, Kym Preiss & Michael D. Lee - 2009 - In N. A. Taatgen & H. van Rijn (eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society.
     
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  42.  58
    A Hierarchical Bayesian Modeling Approach to Searching and Stopping in Multi-Attribute Judgment.Don van Ravenzwaaij, Chris P. Moore, Michael D. Lee & Ben R. Newell - 2014 - Cognitive Science 38 (7):1384-1405.
    In most decision-making situations, there is a plethora of information potentially available to people. Deciding what information to gather and what to ignore is no small feat. How do decision makers determine in what sequence to collect information and when to stop? In two experiments, we administered a version of the German cities task developed by Gigerenzer and Goldstein (1996), in which participants had to decide which of two cities had the larger population. Decision makers were not provided with the (...)
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  43.  22
    One‐year‐old infants use teleological representations of actions productively.Michael Ramscar, Daniel Yarlett, Shimon Edelman, Nathan Intrator, Gergely Csibra, Szilvia Bıró, Orsolya Koós, György Gergely, Holk Cruse & Michael D. Lee - 2003 - Cognitive Science 27 (1):111-133.
    Two experiments investigated whether infants represent goal‐directed actions of others in a way that allows them to draw inferences to unobserved states of affairs (such as unseen goal states or occluded obstacles). We measured looking times to assess violation of infants' expectations upon perceiving either a change in the actions of computer‐animated figures or in the context of such actions. The first experiment tested whether infants would attribute a goal to an action that they had not seen completed. The second (...)
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  44. Sampling Assumptions in Inductive Generalization.Daniel J. Navarro, Matthew J. Dry & Michael D. Lee - 2012 - Cognitive Science 36 (2):187-223.
    Inductive generalization, where people go beyond the data provided, is a basic cognitive capability, and it underpins theoretical accounts of learning, categorization, and decision making. To complete the inductive leap needed for generalization, people must make a key ‘‘sampling’’ assumption about how the available data were generated. Previous models have considered two extreme possibilities, known as strong and weak sampling. In strong sampling, data are assumed to have been deliberately generated as positive examples of a concept, whereas in weak sampling, (...)
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  45. The Wisdom of the Crowd in Combinatorial Problems.Sheng Kung Michael Yi, Mark Steyvers, Michael D. Lee & Matthew J. Dry - 2012 - Cognitive Science 36 (3):452-470.
    The “wisdom of the crowd” phenomenon refers to the finding that the aggregate of a set of proposed solutions from a group of individuals performs better than the majority of individual solutions. Most often, wisdom of the crowd effects have been investigated for problems that require single numerical estimates. We investigate whether the effect can also be observed for problems where the answer requires the coordination of multiple pieces of information. We focus on combinatorial problems such as the planar Euclidean (...)
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  46. Wisdom of crowds in minimum spanning tree problems.Sheng Kung Michael Yi, Mark Steyvers, Michael D. Lee & Matthew Dry - 2010 - In S. Ohlsson & R. Catrambone (eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society. Cognitive Science Society.
  47.  18
    Beth's Property Fails in $L^{<\omega 1}$.Lee Badger - 1980 - Journal of Symbolic Logic 45 (2):284 - 290.
  48.  11
    Beth's property fails in $l^{.Lee Badger - 1980 - Journal of Symbolic Logic 45 (2):284-290.
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  49.  13
    Model‐Based Wisdom of the Crowd for Sequential Decision‐Making Tasks.Bobby Thomas, Jeff Coon, Holly A. Westfall & Michael D. Lee - 2021 - Cognitive Science 45 (7):e13011.
    We study the wisdom of the crowd in three sequential decision‐making tasks: the Balloon Analogue Risk Task (BART), optimal stopping problems, and bandit problems. We consider a behavior‐based approach, using majority decisions to determine crowd behavior and show that this approach performs poorly in the BART and bandit tasks. The key problem is that the crowd becomes progressively more extreme as the decision sequence progresses, because the diversity of opinion that underlies the wisdom of the crowd is lost. We also (...)
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  50.  12
    Biomechanical analysis of knotless flexor tendon repair using large-diameter unidirection barbed suture.Toni E. Lin, Chrisovalantis Lakhiani, Michael R. Lee, Michel Saint-Cyr & Douglas M. Sammer - 2012 - In Zdravko Radman (ed.), The Hand. MIT Press.
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