Wen Dong (MIT), “Modeling the Structure of Collective Intelligence” (2010)

You are here

Inside Signal Processing Newsletter Home Page

Top Reasons to Join SPS Today!

1. IEEE Signal Processing Magazine
2. Signal Processing Digital Library*
3. Inside Signal Processing Newsletter
4. SPS Resource Center
5. Career advancement & recognition
6. Discounts on conferences and publications
7. Professional networking
8. Communities for students, young professionals, and women
9. Volunteer opportunities
10. Coming soon! PDH/CEU credits
Click here to learn more.

News and Resources for Members of the IEEE Signal Processing Society

Wen Dong (MIT), “Modeling the Structure of Collective Intelligence” (2010)

Wen Dong (MIT, Media Laboratory),  “Modeling the Structure of Collective Intelligence” Advisors: Alex (Sandy) Pentland (2010)

Human problem solving process can be described as a stochastic process of interacting agents. By observing many groups solving a wide variety of problems, we can determine the relationship between problem space structure and the solution process. To stochastically model human problem solution, this thesis presents the influence modeling, which attempts to capture the process by which an individual person navigates from one memory chunk randomly to another related memory chunk, and how a group of people randomly remind one another of memory chunks that could be individually. Using this method it is possible to account for about 50% of the performance variation between groups in terms of their discussion process without analysis of the underlying semantics.

For details, click here.


IEEE SPS Educational Resources

IEEE SPS Resource Center

IEEE SPS YouTube Channel