Scaling Up the Bayesian Brain

The Bayesian brain is typically the view that there are intelligent approximations to inferences supposedly happening at underlying neural mechanisms. This conference focuses on the philosophical framing of inference mechanisms, in terms of neural networks and cognitive function such as memory, and on the question of how they scale up or form the basis of paradigmatically intelligent cognitive activities.

8 Jan 2020

Auditório A14 / CAN
 

Programme:
14-14.40 Ines Hipolito (University of Wollongong): Challenges to Bayesian Neural Networks
14.40-15.20 Laura Convertino (University College London): Back to the future: The Active Nature of Remembering
15.20-16 Robert Clowes (Nova University of Lisbon): Predictive Processing and the Feeling of Ipseity
16-16.20 Coffee break
16.20-17 Valeria Bizzari (University of Heidelberg): The interplay of lower and higher levels of cognition: the case of we-agency in music
17-17.40 Ian Robertson (University of Wollongong): Active Inference and Intelligent Action
17.40-18.20 Michał Piekarski (Cardinal Stefan Wyszyński University in Warsaw): Normative predictive mechanisms and their role in explanations of actions
Org: Ines Hipololito, Gloria Andrada, Robert Clowes