TY - JOUR
T1 - Beyond collective intelligence
T2 - Collective adaptation
AU - Galesic, Mirta
AU - Barkoczi, Daniel
AU - Berdahl, Andrew M.
AU - Biro, Dora
AU - Carbone, Giuseppe
AU - Giannoccaro, Ilaria
AU - Goldstone, Robert L.
AU - Gonzalez, Cleotilde
AU - Kandler, Anne
AU - Kao, Albert B.
AU - Kendal, Rachel
AU - Kline, Michelle
AU - Lee, Eun
AU - Massari, Giovanni Francesco
AU - Mesoudi, Alex
AU - Olsson, Henrik
AU - Pescetelli, Niccolo
AU - Sloman, Sabina J.
AU - Smaldino, Paul E.
AU - Stein, Daniel L.
N1 - Publisher Copyright:
© 2023 The Authors.
PY - 2023/3/22
Y1 - 2023/3/22
N2 - We develop a conceptual framework for studying collective adaptation in complex socio-cognitive systems, driven by dynamic interactions of social integration strategies, social environments and problem structures. Going beyond searching for 'intelligent' collectives, we integrate research from different disciplines and outline modelling approaches that can be used to begin answering questions such as why collectives sometimes fail to reach seemingly obvious solutions, how they change their strategies and network structures in response to different problems and how we can anticipate and perhaps change future harmful societal trajectories. We discuss the importance of considering path dependence, lack of optimization and collective myopia to understand the sometimes counterintuitive outcomes of collective adaptation. We call for a transdisciplinary, quantitative and societally useful social science that can help us to understand our rapidly changing and ever more complex societies, avoid collective disasters and reach the full potential of our ability to organize in adaptive collectives.
AB - We develop a conceptual framework for studying collective adaptation in complex socio-cognitive systems, driven by dynamic interactions of social integration strategies, social environments and problem structures. Going beyond searching for 'intelligent' collectives, we integrate research from different disciplines and outline modelling approaches that can be used to begin answering questions such as why collectives sometimes fail to reach seemingly obvious solutions, how they change their strategies and network structures in response to different problems and how we can anticipate and perhaps change future harmful societal trajectories. We discuss the importance of considering path dependence, lack of optimization and collective myopia to understand the sometimes counterintuitive outcomes of collective adaptation. We call for a transdisciplinary, quantitative and societally useful social science that can help us to understand our rapidly changing and ever more complex societies, avoid collective disasters and reach the full potential of our ability to organize in adaptive collectives.
KW - collective adaptation
KW - collective intelligence
KW - computational models
KW - social cognition
KW - social networks
UR - http://www.scopus.com/inward/record.url?scp=85150841852&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85150841852&partnerID=8YFLogxK
U2 - 10.1098/rsif.2022.0736
DO - 10.1098/rsif.2022.0736
M3 - Review article
C2 - 36946092
AN - SCOPUS:85150841852
SN - 1742-5689
VL - 20
JO - Journal of the Royal Society Interface
JF - Journal of the Royal Society Interface
IS - 200
M1 - 20220736
ER -