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BI 145 James Woodward: Causation with a Human Face

BI 145 James Woodward: Causation with a Human Face

FromBrain Inspired


BI 145 James Woodward: Causation with a Human Face

FromBrain Inspired

ratings:
Length:
86 minutes
Released:
Aug 28, 2022
Format:
Podcast episode

Description

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James Woodward is a recently retired Professor from the Department of History and Philosophy of Science at the University of Pittsburgh. Jim has tremendously influenced the field of causal explanation in the philosophy of science. His account of causation centers around intervention - intervening on a cause should alter its effect. From this minimal notion, Jim has described many facets and varieties of causal structures. In this episode, we discuss topics from his recent book, Causation with a Human Face: Normative Theory and Descriptive Psychology. In the book, Jim advocates that how we should think about causality - the normative - needs to be studied together with how we actually do think about causal relations in the world - the descriptive. We discuss many topics around this central notion, epistemology versus metaphysics, the the nature and varieties of causal structures.





Jim's website.Making Things Happen: A Theory of Causal Explanation.Causation with a Human Face: Normative Theory and Descriptive Psychology.



0:00 - Intro
4:14 - Causation with a Human Face & Functionalist approach
6:16 - Interventionist causality; Epistemology and metaphysics
9:35 - Normative and descriptive
14:02 - Rationalist approach
20:24 - Normative vs. descriptive
28:00 - Varying notions of causation
33:18 - Invariance
41:05 - Causality in complex systems
47:09 - Downward causation
51:14 - Natural laws
56:38 - Proportionality
1:01:12 - Intuitions
1:10:59 - Normative and descriptive relation
1:17:33 - Causality across disciplines
1:21:26 - What would help our understanding of causation
Released:
Aug 28, 2022
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.