Beyond collective intelligence: Collective adaptation

Author:

Galesic Mirta123ORCID,Barkoczi Daniel4,Berdahl Andrew M.5ORCID,Biro Dora6ORCID,Carbone Giuseppe7,Giannoccaro Ilaria7,Goldstone Robert L.8ORCID,Gonzalez Cleotilde9ORCID,Kandler Anne10ORCID,Kao Albert B.111ORCID,Kendal Rachel12,Kline Michelle13ORCID,Lee Eun14,Massari Giovanni Francesco7,Mesoudi Alex15ORCID,Olsson Henrik1,Pescetelli Niccolo16,Sloman Sabina J.917,Smaldino Paul E.118ORCID,Stein Daniel L.119

Affiliation:

1. Santa Fe Institute, Santa Fe, NM 87501, USA

2. Complexity Science Hub Vienna, 1080 Vienna, Austria

3. Vermont Complex Systems Center, University of Vermont, Burlington, VM 05405, USA

4. South Denmark University, Odense 5230, Denmark

5. School of Aquatic and Fishery Sciences, University of Washington, Seattle, WA 98195, USA

6. Department of Zoology, University of Oxford, Oxford OX1 3PS, UK

7. Department of Mechanics, Mathematics and Management, Politecnico di Bari, Bari 70125, Italy

8. Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405, USA

9. Department of Social and Decision Sciences, Carnegie Mellon University, Pittsburgh, PA 15213, USA

10. Department of Mathematics, Max-Planck-Institute for Evolutionary Anthropology, Leipzig 04103, Germany

11. Biology Department, University of Massachusetts Boston, Boston, MA 02125, USA

12. Centre for Coevolution of Biology and Culture, Durham University, Anthropology Department, Durham, DH1 3LE, UK

13. Centre for Culture and Evolution, Division of Psychology, Brunel University London, Uxbridge, UB8 3PH, UK

14. Department of Scientific Computing, Pukyong National University, 45 Yongso-ro, Nam-gu, Busan, 48513, Republic of Korea

15. Department of Ecology and Conservation, University of Exeter, Penryn TR10 9FE, UK

16. New Jersey Institute of Technology, Newark, NJ 07102, USA

17. Department of Computer Science, University of Manchester, Manchester, M13 9PL, UK

18. Department of Cognitive and Information Sciences, University of California, Merced, CA 95343, USA

19. Department of Physics and Courant Institute of Mathematical Sciences, New York University, New York, NY 10012, USA

Abstract

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.

Funder

NSF

Publisher

The Royal Society

Subject

Biomedical Engineering,Biochemistry,Biomaterials,Bioengineering,Biophysics,Biotechnology

Reference306 articles.

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