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BI 114 Mark Sprevak and Mazviita Chirimuuta: Computation and the Mind

BI 114 Mark Sprevak and Mazviita Chirimuuta: Computation and the Mind

FromBrain Inspired


BI 114 Mark Sprevak and Mazviita Chirimuuta: Computation and the Mind

FromBrain Inspired

ratings:
Length:
98 minutes
Released:
Sep 22, 2021
Format:
Podcast episode

Description

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Mark and Mazviita discuss the philosophy and science of mind, and how to think about computations with respect to understanding minds. Current approaches to explaining brain function are dominated by computational models and the computer metaphor for brain and mind. But there are alternative ways to think about the relation between computations and brain function, which we explore in the discussion. We also talk about the role of philosophy broadly and with respect to mind sciences, pluralism and perspectival approaches to truth and understanding, the prospects and desirability of naturalizing representations (accounting for how brain representations relate to the natural world), and much more.





Mark's website.Mazviita's University of Edinburgh page.Twitter (Mark): @msprevak.Mazviita's previous Brain Inspired episode:BI 072 Mazviita Chirimuuta: Understanding, Prediction, and RealityThe related book we discuss:The Routledge Handbook of the Computational Mind 2018 Mark Sprevak Matteo Colombo (Editors)



0:00 - Intro
5:26 - Philosophy contributing to mind science
15:45 - Trend toward hyperspecialization
21:38 - Practice-focused philosophy of science
30:42 - Computationalism
33:05 - Philosophy of mind: identity theory, functionalism
38:18 - Computations as descriptions
41:27 - Pluralism and perspectivalism
54:18 - How much of brain function is computation?
1:02:11 - AI as computationalism
1:13:28 - Naturalizing representations
1:30:08 - Are you doing it right?
Released:
Sep 22, 2021
Format:
Podcast episode

Titles in the series (99)

Neuroscience and artificial intelligence work better together. Brain inspired is a celebration and exploration of the ideas driving our progress to understand intelligence. I interview experts about their work at the interface of neuroscience, artificial intelligence, cognitive science, philosophy, psychology, and more: the symbiosis of these overlapping fields, how they inform each other, where they differ, what the past brought us, and what the future brings. Topics include computational neuroscience, supervised machine learning, unsupervised learning, reinforcement learning, deep learning, convolutional and recurrent neural networks, decision-making science, AI agents, backpropagation, credit assignment, neuroengineering, neuromorphics, emergence, philosophy of mind, consciousness, general AI, spiking neural networks, data science, and a lot more. The podcast is not produced for a general audience. Instead, it aims to educate, challenge, inspire, and hopefully entertain those interested in learning more about neuroscience and AI.