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.
Collective Intelligence as Collective Computation - Future Directions
Institute for Pure & Applied Mathematics (IPAM) via YouTube
Overview
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)
