Blake RICHARDS – 4 novembre 2021
Titre : Understanding as an emergent property of learning to predict the world
Résumé:
How do we develop an understanding of the world? Multiple lines of evidence in artificial intelligence and neuroscience are pointing to predictive learning as an essential feature of the development of understanding. In artificial intelligence, research has shown that learning to predict upcoming or adjacent sensory data is sufficient to develop complex behaviours indicative of far richer understanding than previous approaches. Simultaneously, evidence from neuroscience shows that predictive learning can account for a large array of neurophysiological data, both at the cellular, systems, and behavioural level. Here, I will argue that these converging lines of evidence tell us that what we call "understanding" is an emergent property of representations that are useful for prediction. I propose that predictive learning will come to be a core feature of both artificial general intelligence and our models of the brain.
Bio:
Blake Richards is an Assistant Professor in the Montreal Neurological Institute and the School of Computer Science at McGill University and a Core Faculty Member at the Quebec Artificial Intelligence Institute.