Beyond collective intelligence: Collective adaptation

Mirta Galesic, Daniel Barkoczi, Andrew M. Berdahl, Dora Biro, Giuseppe Carbone, Ilaria Giannoccaro, Robert L. Goldstone, Cleotilde Gonzalez, Anne Kandler, Albert B. Kao, Rachel Kendal, Michelle Kline, Eun Lee, Giovanni Francesco Massari, Alex Mesoudi, Henrik Olsson, Niccolo Pescetelli, Sabina J. Sloman, Paul E. Smaldino, Daniel L. Stein

Research output: Contribution to journalReview articlepeer-review

14 Scopus citations


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.

Original languageEnglish (US)
Article number20220736
JournalJournal of the Royal Society Interface
Issue number200
StatePublished - Mar 22 2023

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Biophysics
  • Bioengineering
  • Biomaterials
  • Biochemistry
  • Biomedical Engineering


  • collective adaptation
  • collective intelligence
  • computational models
  • social cognition
  • social networks


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