Group problem solving: Harnessing the Wisdom of the Crowds
preprint
OA: closed
Abstract
How can groups best coordinate to solve problems? The answer touches on cultural innovation, including the trajectory of science, technology, and art. If everyone acts independently, different people will explore different solutions, but there is no way to leverage good solutions across the community. If everyone acts in consort, early successes can lead the group down dead ends and stifle exploration. The challenge is one of maintaining innovation but also communicating effective solutions once they are found. When solution spaces are smooth---that is, easy---communication is good. But when solution spaces are rugged---that is, hard---the balance should tilt towards exploration. How can we best achieve this? One answer is to place people in social structures that reduce communication, but maintain connectivity. But there are other solutions that might work better. Algorithms, like simulated annealing are designed to deal with such problems by adjusting collective focus over time, allowing systems to 'cool off' slowly as they home in on solutions. Network science allows us to explore the performance of such solutions on smooth and rugged landscapes, and provides numerous avenues for innovation of its own.
My notes (saved in your browser only)
Citation neighborhood (no data yet)
We don't have any in-corpus citations linked to this paper yet. The paper's references may be in our DB but unresolved to ``paper_id`` (resolution happens at ingest when the cited DOI matches a row we already have). Run the cross-source citation reconcile pass to retry.
Source provenance
- europepmc
- last seen: 2026-05-19T01:45:01.086888+00:00
- unpaywall
- last seen: 2026-07-21T06:50:27.635823+00:00