Convenors
Juliet Griffin (University of Cambridge)
Daniel Williams (University of Cambridge)
Summary
Predictive processing is one of the most exciting ideas in recent cognitive science. It construes the brain as a prediction machine that self-organizes around the imperative to minimize a certain kind of error: the mismatch between its own internally-generated predictions of sensory inputs and the externally-generated sensory inputs themselves. This framework for thinking about the brain can seem radically revisionist. It makes expectations central to the construction of perceptual experience, relegating sensory input to the role of mere feedback on these predictions. It offers a unifying framework for understanding the full panoply of psychological phenomena that make up the mind in terms of a single common principle - often eliding commonsense distinctions in the process. Further, this conceptual radicalism looks to be increasingly matched by an impressive catalogue of illuminating empirical applications as predictive processing and related ideas proliferate across the cognitive sciences.
Predictive Processing: Reconstructing the Mind? will bring together an interdisciplinary group of researchers to evaluate the theoretical and practical implications – and importance – of predictive processing and related ideas (such as the Bayesian brain hypothesis, the free-energy principle, and the importance of 'top-down' influences on cognition more generally).
Key questions will include (but are in no way limited to):
To what extent does predictive processing constitute a genuine paradigm shift, as some authors have claimed? How does it depart from, and improve upon, previous guiding research programmes in the mind sciences? What are the implications – and limitations – of predictive processing and Bayesian approaches for psychiatry? What implications does predictive processing have for foundational problems in the philosophy of mind, such as (for example) the status and nature of mental representations, and the integrity of our folk-psychological understanding of ourselves? How does predictive processing bear on prominent debates concerning embodiment, interoception, the emotions and their role in cognition? What are the most important challenges confronting predictive processing (and related frameworks) in the cognitive sciences? What are the theoretical and practical limitations of these frameworks? We hope these questions are broad enough that an eclectic group of researchers can speak on what most interests them in this area, yet focused enough to bring participants into fruitful conversation with one another. In addition, we hope this conference will provide researchers active in the scientific disciplines with a welcome opportunity to address the broader, more theoretical implications of their work from a philosophical perspective
None
Dr. Daniel Tenbrinck
Gabriel Hesch
TMCS - University of Oxford
Mike Huttner
The Open University
Karimah Speaks
Powered by AudioHarvest
The Art and Artifice of Prediction
655183
Adrian Scarlett
Student Experience
Cambridge University
Erik Partridge
PredictionX
Adam Leon Smith
Taiwo O. Adetiloye
Prerana Srinivasan
PM & Co.
Mustang News
Outreach IGIB
Matt Artz
Ali Goucher
Marshall Masters
TDA
Samantha Brunella Medugno
Rami Kalla
Garrett Ramos
None
ZINMA AKINYI OKWADO
Sidney
Brandon Sanders & Ted Sarvata
Tori Wilson
Valence Discovery
Peter Beard
Y. Gonzales
Precision Revision
Keirsten Eberts, Kodi Buell & Josh Hornbacher
Chris Woods
Paul Middlebrooks
Arne Hessenbruch
Plausible Deniability
Joe Candice
Robert
Constellation
Eduard Enoiu
HoropodScopecast
LottoMatic
Rainmaker.FM: The Digital Marketing and Sales Network
Giuseppe Lai
coldtakes
Forrester
Akshita Acharya
Diya S
Claire
Sophia Siepka
Jeslynn
Erin Wesley
Forrester
Mateusz Rybinski
Megan Wright
ICGEB
Yoana Zaharieva
Olusegun Ogundeji
Sean Welleck
ICGEB
Shayne McKee
Eternal Burgess
WIll Mencel
Accelerate America
The Open University
Josh and Weber Maisel
Wasielewski, Hedlund & Janlén
theunsimplifiedpodcast
The Nonlinear Fund
The Digital Life
CronaYT
Mark Lundstrom
wigtalks
Shayne McKee
Bluescape Podcast
Sebastian Deubel
The Brassfly
None
Underinformed
Indian School of Business
Adam Deuchar
Sara Hooker & Sean Hooker
Stephen Raven
Joe Casabona
Forrester
Nick Burnett and Tony Ryan
vicky sinco
Eric Reuss
My Blog
Allen Institute for Artificial Intelligence
Michael Gray
William D. Phillips
Dave Unger
Let's Talk About Books!