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Michael Cohen [7]Marc A. Cohen [5]
  1. Opaque Updates.Michael Cohen - 2020 - Journal of Philosophical Logic 50 (3):447-470.
    If updating with E has the same result across all epistemically possible worlds, then the agent has no uncertainty as to the behavior of the update, and we may call it a transparent update. If an agent is uncertain about the behavior of an update, we may call it opaque. In order to model the uncertainty an agent has about the result of an update, the same update must behave differently across different possible worlds. In this paper, I study opaque (...)
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  2. Inexact knowledge and dynamic introspection.Michael Cohen - 2021 - Synthese 199 (3-4):5509-5531.
    Cases of inexact observations have been used extensively in the recent literature on higher-order evidence and higher-order knowledge. I argue that the received understanding of inexact observations is mistaken. Although it is convenient to assume that such cases can be modeled statically, they should be analyzed as dynamic cases that involve change of knowledge. Consequently, the underlying logic should be dynamic epistemic logic, not its static counterpart. When reasoning about inexact knowledge, it is easy to confuse the initial situation, the (...)
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  3. Exploring RoBERTa's theory of mind through textual entailment.Michael Cohen - manuscript
    Within psychology, philosophy, and cognitive science, theory of mind refers to the cognitive ability to reason about the mental states of other people, thus recognizing them as having beliefs, knowledge, intentions and emotions of their own. In this project, we construct a natural language inference (NLD) dataset that tests the ability of a state of the art language model, RoBERTa-large finetuned on the MNLI dataset, to make theory of mind inferences related to knowledge and belief. Experimental results suggest that the (...)
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  4. The uncoordinated teachers puzzle.Michael Cohen - forthcoming - Episteme:1-8.
    Williamson (2000) argues that the KK principle is inconsistent with knowledge of margin for error in cases of inexact perceptual observations. This paper argues, primarily by analogy to a different scenario, that Williamson’s argument is fallacious. Margin for error principles describe the agent’s knowledge as a result of an inexact perceptual event, not the agent’s knowledge state in general. Therefore, epistemic agents can use their knowledge of margin for error at most once after a perceptual event, but not more. This (...)
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  5. A Dynamic Epistemic Logic with a Knowability Principle.Michael Cohen - 2015 - In Logic, Rationality, and Interaction. LORI 2015. Lecture Notes in Computer Science. Berlin: Springer. pp. 406-410.
    A dynamic epistemic logic is presented in which the single agent can reason about his knowledge stages before and after announcements. The logic is generated by reinterpreting multi agent private announcements in a single agent environment. It is shown that a knowability principle is valid for such logic: any initially true ϕ can be known after a certain number of announcements.
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  6. Generalized Trust in Taiwan and (as Evidence for) Hirschman’s doux commerce Thesis.Marc A. Cohen - 2020 - Social Theory and Practice 46 (1):1-25.
    Data from the World Values Survey shows that generalized trust in Mainland China—trust in out-group members—is very low, but generalized trust in Taiwan is much higher. The present article argues that positive interactions with out-group members in the context of Taiwan’s export-oriented economy fostered generalized trust—and so explains this difference. This line of argument provides evidence for Albert O. Hirschman’s doux commerce thesis, that market interaction can improve persons and even stabilize the social order. The present article defends this point (...)
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  7. Alternative Conceptions of Generalized Trust.Marc A. Cohen - 2015 - Journal of Social Philosophy 46 (4):463-478.
    Generalized trust is widely said to be essential for social and economic cooperation, but—despite the large empirical literature—there is disagreement and confusion over how to understand generalized trust. This paper develops the conceptual options that can be drawn from the social science literature—with attention to the moral dimension in each, and with some attention to the different ways that generalized trust can serve as a foundation for the social order.
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  8. Genuine, non-calculative trust with calculative antecedents: Reconsidering Williamson on trust.Marc A. Cohen - 2014 - Journal of Trust Research 4 (1):44-56.
    This short paper defends Oliver Williamson’s (1993) claim that talk of trust is ‘redundant at best and can be misleading’ when trust is defined as a form of calculated risk (p. 463). And this paper accepts Williamson’s claim that ‘Calculative trust is a contradiction in terms’ (p. 463). But the present paper defends a conception of genuine, non-calculative trust that is compatible with calculative considerations and calculative antecedents. This conception of trust creates space for genuine (non-calculative) trust relationships in the (...)
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  9. Against basic emotions, and toward a comprehensive theory.Marc A. Cohen - 2005 - Journal of Mind and Behavior 26 (4):229-254.
    According to recent literature in philosophy and psychology, there is a set of basic emotions that were preserved over the course of evolution because they serve adaptive functions. However, the empirical evidence fails to support the claim that there are basic emotions because it fails to show that emotions can be identified with specific functions. Moreover, work on basic emotions lacks the conceptual space to take emotional experience into account and so fails to amount to an adequate theory of emotion: (...)
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  10. Epistemic closure filters for natural language inference.Michael Cohen - manuscript
    Epistemic closure refers to the assumption that humans are able to recognize what entails or contradicts what they believe and know, or more accurately, that humans’ epistemic states are closed under logical inferences. Epistemic closure is part of a larger theory of mind ability, which is arguably crucial for downstream NLU tasks, such as inference, QA and conversation. In this project, we introduce a new automatically constructed natural language inference dataset that tests inferences related to epistemic closure. We test and (...)
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  11. The Two-Stage Model of Emotion and the Interpretive Structure of the Mind.Marc A. Cohen - 2008 - Journal of Mind and Behavior 29 (4):291-320.
    Empirical evidence shows that non-conscious appraisal processes generate bodily responses to the environment. This finding is consistent with William James’s account of emotion, and it suggests that a general theory of emotion should follow James: a general theory should begin with the observation that physiological and behavioral responses precede our emotional experience. But I advance three arguments (empirical and conceptual arguments) showing that James’s further account of emotion as the experience of bodily responses is inadequate. I offer an alternative model, (...)
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  12. Dynamic Introspection.Michael Cohen - 2021 - Dissertation, Stanford University
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