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Alison A. Springle [3]Alison Ann Springle [2]
  1. Perception, Representation, Realism, and Function.Alison Ann Springle - 2019 - Philosophy of Science 86 (5):1202-1213.
    According to orthodox representationalism, perceptual states have constitutive veridicality or accuracy conditions. In defense of this view, several philosophers—most notably Tyler Burge—employ a realist strategy that turns on the purported explanatory ineliminability of representational posits in perceptual science. I argue that Burge’s version of the realist strategy fails as a defense of orthodox representationalism. However, it may vindicate a different kind of representationalism.
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    Anti-intellectualism, instructive representations, and the intentional action argument.Alison Ann Springle & Justin Humphreys - 2021 - Synthese (3):7919-7955.
    Intellectualists hold that knowledge-how is a species of knowledge-that, and consequently that the knowledge involved in skill is propositional. In support of this view, the intentional action argument holds that since skills manifest in intentional action and since intentional action necessarily depends on propositional knowledge, skills necessarily depend on propositional knowledge. We challenge this argument, and suggest that instructive representations, as opposed to propositional attitudes, can better account for an agent’s reasons for action. While a propositional-causal theory of action, according (...)
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    Phenomenology: What’s AI got to do with it?Alessandra Buccella & Alison A. Springle - 2023 - Phenomenology and the Cognitive Sciences 22 (3):621-636.
    Nowadays, philosophers and scientists tend to agree that, even though human and artificial intelligence work quite differently, they can still illuminate aspects of each other, and knowledge in one domain can inspire progress in the other. For instance, the notion of “artificial” or “synthetic” phenomenology has been gaining some traction in recent AI research. In this paper, we ask the question: what (if anything) is the use of thinking about phenomenology in the context of AI, and in particular machine learning? (...)
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    Inductive neutrality and scientific representation.Elay Shech & Alison A. Springle - 2023 - Synthese 201 (5):1-16.
    Prima facie, accounts of scientific representation should illuminate how models support justified surrogative reasoning while remaining neutral on the nature of inductive inference. We argue that doing both at once is harder than it first appears. Accounts like “DEKI,” which distinguish justified and unjustified surrogative inferences by appealing to a distinction between derivational and factual correctness, cannot accommodate non-formal, non-rule-based accounts of inference such as John Norton’s material theory of induction. In contrast, a recent expressivist-inferentialist account appears compatible with material (...)
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  5. Practical perceptual representations: a contemporary defense of an old idea.Alison A. Springle & Alessandra Buccella - 2024 - Synthese 203 (3):1-18.
    According to ‘orthodox’ representationalism, perceptual states possess constitutive veridicality (truth, accuracy, or satisfaction) conditions. Typically, philosophers who deny orthodox representationalism endorse some variety of anti-representationalism. But we argue that these haven’t always been, and needn’t continue to be, the only options. Philosophers including Descartes, Malebranche and Helmholtz appear to have rejected orthodox representationalism while nonetheless endorsing perceptual representations of a fundamentally practical kind not captured by orthodox representationalism. Moreover, we argue that the perceptual science called on by contemporary philosophers to (...)
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