Collective Intelligence as Collective Computation - Future Directions
Offered By: Institute for Pure & Applied Mathematics (IPAM) via YouTube
Course Description
Overview
Explore collective intelligence as collective computation in this 30-minute conference talk by Jessica Flack from the Santa Fe Institute. Delve into the mathematics of collective intelligence, covering topics such as John Wheeler's contributions, physics at macroscopic scales, and the role of information in shaping systems. Examine how components act as imperfect information processors, investigate microscale phenomena in biology, and learn about overcoming subjectivity through uncertainty reduction. Discover the elements and examples of collective computation, including circuits and Babbage's work. Analyze biological principled dimension reduction, the information bottleneck concept, and hourglass emergence. Conclude by addressing future directions and key issues in collective intelligence research.
Syllabus
Intro
The microscope
John Wheeler
Physics
Macroscopic scale
Information is changing things
Components as imperfect information processors
Microscale in biology
Overcoming subjectivity
Uncertainty reduction
What is collective computation
Elements of collective computation
Examples
Circuits
Babbage
Biological principled dimension reduction
Review
Information bottleneck
Hourglass emergence
Going forward
Collective intelligence issues
Taught by
Institute for Pure & Applied Mathematics (IPAM)
Related Courses
Introduction to LogicStanford University via Coursera Networked Life
University of Pennsylvania via Coursera Introduction to Mathematical Thinking
Stanford University via Coursera Computational Photography
Georgia Institute of Technology via Coursera Initiation à la théorie des distributions
École Polytechnique via Coursera