The Neuroethics Group at Alberto Hurtado University invite you to Conference “Knowing That as Knowing How: A Neurocognitive Account” of Gualtiero Piccinini.
We argue that knowing that is a form of knowing how. Specifically, knowing that P is knowing how to represent the fact that P, ground such a representation in the fact that P, use such a representation to guide action with respect to P, and exercising that know-how when needed. More precisely, neurocognitive systems control organisms by building internal models of their environments and using such models to guide action. Such internal models implicitly represent how things are. When agents’ implicit internal models are grounded in the facts and are usable for guiding action with respect to those facts, agents have an implicit form of knowing that. When neurocognitive systems acquire the additional capacity to manipulate language, they also acquire the capacity to explicitly represent and express that the world is thus-and-so. When agents’ explicit internal models are appropriately grounded in the facts and are usable for guiding action with respect to those facts, agents have an explicit form of knowing that. Thus, both implicit and explicit knowing that P are forms of knowing how to represent that P, ground such a representation in P, use such a representation to guide action with respect to P, and exercising that know-how when needed.
Gualtiero Piccinini is Curators’ Distinguished Professor of Philosophy and Associate Director of the Center for Neurodynamics at the University of Missouri – St. Louis. In 2014, he received the Herbert A. Simon Award from the International Association for Computing and Philosophy. In 2018, he received the K. Jon Barwise Prize from the American Philosophical Association. In 2019, he received the Chancellor’s Award for Research and Creativity from University of Missouri – St. Louis. His publications include Physical Computation: A Mechanistic Account (Oxford University Press, 2015) and Neurocognitive Mechanisms: Explaining Biological Cognition (Oxford University Press, 2020).
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