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Moderate Modal Skepticism

In Matthew A. Benton, John Hawthorne & Dani Rabinowitz (eds.), Knowledge, Belief, and God: New Insights in Religious Epistemology. Oxford University Press. pp. 302-321 (2018)

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  1. Counterfactuals and Non-exceptionalism About Modal Knowledge.Daniel Dohrn - 2020 - Erkenntnis 85 (6):1461-1483.
    Since our capacities and methods of cognizing reality merely seem to tell us how things are but only within close limits how they could or must be, our claims to knowledge of mere possibilities and necessities raise the suspicion of exceptionalism: the capacities and methods used in developing these claims seem special compared to those involved in cognizing reality. One may be sceptical especially with regard to them, and there are doubts that they can be naturalistically explained. To avoid exceptionalism, (...)
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  • Counterfactuals Versus Conceivability as a Guide to Modal Knowledge.Daniel Dohrn - 2020 - Philosophical Studies 177 (12):3637-3659.
    I compare two prominent approaches to knowledge of metaphysical modality, the more traditional approach via conceiving viz. imagining a scenario and a more recent approach via counterfactual reasoning. In particular, Timothy Williamson has claimed that the proper context for a modal exercise of imagination is a counterfactual supposition. I critically assess this claim, arguing that a purely conceivability/imaginability-based approach has a key advantage compared to a counterfactual-based one. It can take on board Williamson’s insights about the structure of modal imagination (...)
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  • Simulation and the Predictive Brain.Daniel Dohrn - 2020 - Behavioral and Brain Sciences 43.
    Prediction draws on both simulation and theory. I ask how simulation is defined, and what the roles of simulation and theory are, respectively. Simulation is flexible in structure and resources. Often simulation and theory are combined in prediction. The function of simulation consists of representing a situation that is relevantly like the target situation with regards to the feature predicted.
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