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Madeleine Ransom
University of British Columbia, Okanagan
  1. Aesthetic perception and the puzzle of training.Madeleine Ransom - 2022 - Synthese 200 (2):1-25.
    While the view that we perceive aesthetic properties may seem intuitive, it has received little in the way of explicit defence. It also gives rise to a puzzle. The first strand of this puzzle is that we often cannot perceive aesthetic properties of artworks without training, yet much aesthetic training involves the acquisition of knowledge, such as when an artwork was made, and by whom. How, if at all, can this knowledge affect our perception of an artwork’s aesthetic properties? The (...)
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  2. Expert Knowledge by Perception.Madeleine Ransom - 2020 - Philosophy 95 (3):309-335.
    Does the scope of beliefs that people can form on the basis of perception remain fixed, or can it be amplified with learning? The answer to this question is important for our understanding of why and when we ought to trust experts, and also for assessing the plausibility of epistemic foundationalism. The empirical study of perceptual expertise suggests that experts can indeed enrich their perceptual experiences through learning. Yet this does not settle the epistemic status of their beliefs. One might (...)
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  3. Why Emotions Do Not Solve the Frame Problem.Madeleine Ransom - 2016 - In Vincent Müller (ed.), Fundamental Issues of Artificial Intelligence. Springer. pp. 353-365.
    Attempts to engineer a generally intelligent artificial agent have yet to meet with success, largely due to the (intercontext) frame problem. Given that humans are able to solve this problem on a daily basis, one strategy for making progress in AI is to look for disanalogies between humans and computers that might account for the difference. It has become popular to appeal to the emotions as the means by which the frame problem is solved in human agents. The purpose of (...)
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  4. Naturalizing Logic: a case study of the ad hominem and implicit bias.Madeleine Ransom - 2019 - In Dov Gabbay, Lorenzo Magnani, Woosuk Park & Ahti-Veikko Pietarinen (eds.), Natural Arguments: A Tribute to John Woods. London: College Publications. pp. 575-589.
    The fallacies, as traditionally conceived, are wrong ways of reasoning that nevertheless appear attractive to us. Recently, however, Woods (2013) has argued that they don’t merit such a title, and that what we take to be fallacies are instead largely virtuous forms of reasoning. This reformation of the fallacies forms part of Woods’ larger project to naturalize logic. In this paper I will look to his analysis of the argumentum ad hominem as a case study for the prospects of this (...)
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  5.  73
    The Many Faces of Attention: why precision optimization is not attention.Madeleine Ransom & Sina Fazelpour - 2020 - In Dina Mendonça, José Manuel Robalo Curado & Steven Gouveia (eds.), The Philosophy and Science of Predictive Processing. London, UK: pp. 119-139.
    The predictive coding (PC) theory of attention identifies attention with the optimization of the precision weighting of prediction error. Here we provide some challenges for this identification. On the one hand, the precision weighting of prediction error is too broad a phenomenon to be identified with attention because such weighting plays a central role in multimodal integration. Cases of crossmodal illusions such as the rubber hand illusion and the McGurk effect involve the differential precision weighting of prediction error, yet attention (...)
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