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  1. Neural networks, AI, and the goals of modeling.Walter Veit & Heather Browning - 2023 - Behavioral and Brain Sciences 46:e411.
    Deep neural networks (DNNs) have found many useful applications in recent years. Of particular interest have been those instances where their successes imitate human cognition and many consider artificial intelligences to offer a lens for understanding human intelligence. Here, we criticize the underlying conflation between the predictive and explanatory power of DNNs by examining the goals of modeling.
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  • Causes with material continuity.Lauren N. Ross - 2021 - Biology and Philosophy 36 (6):1-17.
    Recent philosophical work on causation has focused on distinctions across types of causal relationships. This paper argues for another distinction that has yet to receive attention in this work. This distinction has to do with whether causal relationships have “material continuity,” which refers to the reliable movement of material from cause to effect. This paper provides an analysis of material continuity and argues that causal relationships with this feature are associated with a unique explanatory perspective, are studied with distinct causal (...)
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  • Does Neuroplasticity Support the Hypothesis of Multiple Realizability?Amber Maimon & Meir Hemmo - 2022 - Philosophy of Science 89 (1):107-127.
    It is commonly maintained that neuroplastic mechanisms in the brain provide empirical support for the hypothesis of multiple realizability. We show in various case studies that neuroplasticity stems from preexisting mechanisms and processes inherent in the neural structure of the brain. We argue that not only does neuroplasticity fail to provide empirical evidence of multiple realization, its inability to do so strengthens the mind-body identity theory. Finally, we argue that a recently proposed identity theory called Flat Physicalism can be enlisted (...)
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  • A Defence of Functional Kinds: Multiple Realisability and Explanatory Counterfactuals.Gareth Fuller - 2022 - International Studies in the Philosophy of Science 35 (2):119-133.
    In this paper, I defend an updated account of functional kinds, initially presented by Daniel Weiskopf, from the criticism that functional kinds will not qualify as scientific kinds. An important part of Weiskopf’s account is that functional kinds are multiply realisable. The criticisms I consider avoid discussion of multiple realisability. Instead, it is argued that functional kinds carry inferior counterfactual profiles when compared to other accounts of kinds. I respond to this charge by arguing that this criticism fails to take (...)
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  • Intervening on time derivatives.Toby Friend - 2021 - Studies in History and Philosophy of Science Part A 89:74-83.
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  • Can Multiple Realisation be Explained?Alexander Franklin - 2021 - Philosophy 96 (1):27-48.
    Multiple realisation prompts the question: how is it that multiple systems all exhibit the same phenomena despite their different underlying properties? In this paper I develop a framework for addressing that question and argue that multiple realisation can be reductively explained. I illustrate this position by applying the framework to a simple example – the multiple realisation of electrical conductivity. I defend my account by addressing potential objections:contra Polger and Shapiro, Batterman, and Sober, I claim that multiple realisation is commonplace, (...)
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