What Could Be the Data-Structures of the Mind?

A Google TechTalk, presented by Rina Panigrahy, 2021/12/01 ABSTRACT: What is a reasonable architecture for an algorithmic view of the mind? Is it akin to a single giant deep network or is it more like several small modules connected by some graph? How is memory captured -- is it some lookup table? Take a simple event like meeting someone over coffee -- how would your mind remember who the person was, what was discussed? Such information needs to be organized and indexed in a way so that it can be quickly accessed in future if say I met the same person again. We propose that information related to such events and inputs is stored as a sketch (a compact representation that approximately reconstructs the input) -- the sketching mechanism is based on random subspace embedding and is able to approximately reconstruct the original input and its basic statistics up to some level of accuracy. The sketching mechanism implicitly enables different high level object oriented abstractions such as classes, attributes, refe