Networks thinking themselves
Prof.
University of Pennsylvania & the Santa Fe Institute
Event Information
Host
Cortex Club
Duration
70 minutes
Abstract
Human learners acquire not only disconnected bits of information, but complex interconnected networks of relational knowledge. The capacity for such learning naturally depends on the architecture of the knowledge network itself, and also on the architecture of the computational unit – the brain – that encodes and processes the information. Here, I will discuss emerging work assessing network constraints on the learnability of relational knowledge, and the neural correlates of that learning.
Topics
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