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Some Mathematical Theorems on Agreement and Learning in Networks - IPAM at UCLA

Offered By: Institute for Pure & Applied Mathematics (IPAM) via YouTube

Tags

Consensus Mechanisms Courses Collective Intelligence Courses Network Analysis Courses

Course Description

Overview

Explore mathematical theorems on agreement and learning in networks through this 23-minute conference talk presented by Elchanan Mossel from the Massachusetts Institute of Technology. Delivered at the Mathematics of Collective Intelligence Workshop hosted by the Institute for Pure & Applied Mathematics (IPAM) at UCLA on February 16, 2022, gain insights into the intersection of mathematics and network dynamics. Delve into the complexities of collective intelligence and discover how mathematical principles can be applied to understand agreement formation and learning processes within networked systems.

Syllabus

Elchanan Mossel - Some mathematical theorems on agreement and learning in networks - IPAM at UCLA


Taught by

Institute for Pure & Applied Mathematics (IPAM)

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