Individual and Collective Learning in Human Groups Facing Danger
Time
Friday, 11. November 2022
15:00 - 16:00
Location
ZT 1202 and online
Organizer
Couzin Lab
Speaker:
Hirokazu Shirado, CMU
While social networks jeopardize people’s well-being by working as diffusion pathways of falsehood, they may also help people overcome the challenge of misinformation with time and experience. In this talk, I discuss how social networks can provide learning facilitation using an experiment involving an iterated decision-making game simulating an unpredictable situation faced by a group (N = 2786 subjects in 120 groups). In the experiment, social networks initially spread false information and suppressed necessary actions, known as normalcy bias. However, with tie rewiring, social networks facilitated improvement in collective intelligence as people accumulated experiences. It also shows that the network’s learning facilitation resulted from integrating individual experiences into structural changes. I also talk about experimental methods to examine human coordination in an emergency, online and offline.
