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Mechanisms for constrained stochasticity

Synthese 197 (10):4455-4473 (2020)

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  1. Creativity.Peter Langland-Hassan - 2020 - In Explaining Imagination. Oxford: Oxford University Press. pp. 262-296.
    Comparatively easy questions we might ask about creativity are distinguished from the hard question of explaining transformative creativity. Many have focused on the easy questions, offering no reason to think that the imagining relied upon in creative cognition cannot be reduced to more basic folk psychological states. The relevance of associative thought processes to songwriting is then explored as a means for understanding the nature of transformative creativity. Productive artificial neural networks—known as generative antagonistic networks (GANs)—are a recent example of (...)
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  • There are no i-beliefs or i-desires at work in fiction consumption and this is why.Peter Langland-Hassan - 2020 - In Explaining Imagination. Oxford: Oxford University Press. pp. 210-233.
    Currie’s (2010) argument that “i-desires” must be posited to explain our responses to fiction is critically discussed. It is argued that beliefs and desires featuring ‘in the fiction’ operators—and not sui generis imaginings (or "i-beliefs" or "i-desires")—are the crucial states involved in generating fiction-directed affect. A defense of the “Operator Claim” is mounted, according to which ‘in the fiction’ operators would be also be required within fiction-directed sui generis imaginings (or "i-beliefs" and "i-desires"), were there such. Once we appreciate that (...)
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  • Explaining Imagination.Peter Langland-Hassan - 2020 - Oxford: Oxford University Press.
    ​Imagination will remain a mystery—we will not be able to explain imagination—until we can break it into parts we already understand. Explaining Imagination is a guidebook for doing just that, where the parts are other ordinary mental states like beliefs, desires, judgments, and decisions. In different combinations and contexts, these states constitute cases of imagining. This reductive approach to imagination is at direct odds with the current orthodoxy, according to which imagination is a sui generis mental state or process—one with (...)
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  • The Predictive Creative Mind: A First Look at Spontaneous Predictions and Evaluations During Idea Generation.Jacopo Valtulina & Alwin de Rooij - 2019 - Frontiers in Psychology 10.
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  • Flow and the dynamics of conscious thought.Joshua Shepherd - 2022 - Phenomenology and the Cognitive Sciences 21 (4):969-988.
    The flow construct has been influential within positive psychology, sport psychology, the science of consciousness, the philosophy of agency, and popular culture. In spite of its longstanding influence, it remains unclear [a] how the constituents of the flow state ‘hang together’—how they relate to each other causally and functionally—[b] in what sense flow is an ‘optimal experience,’ and [c] how best to describe the unique phenomenology of the flow state. As a result, difficulties persist for a clear understanding of the (...)
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  • Aesthetic Insight and Mental Agency.Christopher Prodoehl - 2023 - British Journal of Aesthetics 63 (4):537-552.
    Do artists have control over their ideas for new artworks? This is often treated as a question about spontaneity, or the experience of control: does the event of having an idea for a new artwork occur unexpectedly and without foresight? I suggest another way of interpreting the question—one that has mostly been neglected by philosophers, and that is not settled by claims about spontaneity. According to that interpretation, the question is about agency: are the events of having ideas for new (...)
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  • Creativity.Elliot Samuel Paul & Dustin Stokes - 2023 - Stanford Encyclopedia of Philosophy.
    This entry provides a substantive overview of research and debates concerning creativity in philosophy and related fields. Topics covered include definitions of creativity, whether creativity can be learned, whether it can be explained, attempts to explain creativity in cognitive science, and whether computer programs or AI systems can be creative.
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