Open Call – Conference Complex Systems (CCS 2026 and CCS 2027)

The Complex Systems Society (CSS) organizes every year a main conference (CCS) — the most important annual meeting for the complex systems research community.
The Complex Systems Society invites bids to host the 2026 and 2027 editions.
The conference is generally held in September/October of each year.

More at: cssociety.org

Inferring Local Interactions from Global Response in Condensed Active Matter

Binghamton Center of Complex Systems (CoCo) Seminar
September 25, 2024
Robert Wagner (Mechanical Engineering, Binghamton University)
“Inferring Local Interactions from Global Response in Condensed Active Matter: Complex Emergence in the Mechanics of Fire Ant Rafts”

Read the full article at: vimeo.com

Complex-Systems Research in Psychology, by Han L. J. van der Maas

Humans are the ultimate complex systems. In this monograph intended for psychologists and social scientists interested in modeling psychological processes, Han L. J. van der Maas argues that we can only succeed in exploring the psychological system by understanding its complexity. By applying the tools of complexity science to psychology, researchers and practitioners can achieve desperately needed breakthroughs in the social sciences.

The book has three primary objectives: to provide a comprehensive overview of complex-systems research, with a particular emphasis on its applications in psychology and the social sciences; to provide skills for complex-systems research; and to foster critical thinking regarding the potential applications of complex systems in psychology. Readers should have a basic understanding of mathematics and knowledge of the programming language R.

Complex-Systems Research in Psychology explores a range of topics, including chaos, bifurcation, and self-organization in psychological processes, psychological network analysis, as well as agent-based modeling of social processes. It offers applications in various areas of psychology, such as perception, depression, addiction, cognitive development, and polarization.

Download full book at: www.sfipress.org

Why collective behaviours self-organise to criticality: A primer on information-theoretic and thermodynamic utility measures

Qianyang Chen, Mikhail Prokopenko

Collective behaviours are frequently observed to self-organise to criticality. Existing proposals to explain these phenomena, such as Self-organised Criticality (SOC), are fragmented across disciplines and only partially answer the question. This paper investigates the underlying, intrinsic, utilities that may explain self-organisation of collective behaviours near criticality. We focus on information-driven approaches such as predictive information, empowerment, and active inference, as well as thermodynamic efficiency, which incorporates both information-theoretic and thermodynamic quantities. By interpreting the Ising model as a perception-action loop, we compare how different intrinsic utilities shape collective behaviour and analyse the distinct characteristics that arise when each is optimised. In particular, we highlight that at the critical regime thermodynamic efficiency balances the predictability gained by the system and its energy costs. Finally, we propose the Principle of Super-efficiency, suggesting that collective behaviours self-organise to the critical regime where optimal efficiency is achieved with respect to the entropy reduction relative to the thermodynamic costs.

Read the full article at: arxiv.org

Multidimensional social influence drives leadership and composition-dependent success in octopus–fish hunting groups

Eduardo Sampaio, Vivek H. Sridhar, Fritz A. Francisco, Máté Nagy, Ada Sacchi, Ariana Strandburg-Peshkin, Paul Nührenberg, Rui Rosa, Iain D. Couzin & Simon Gingins
Nature Ecology & Evolution (2024)

Collective behaviour, social interactions and leadership in animal groups are often driven by individual differences. However, most studies focus on same-species groups, in which individual variation is relatively low. Multispecies groups, however, entail interactions among highly divergent phenotypes, ranging from simple exploitative actions to complex coordinated networks. Here we studied hunting groups of otherwise-solitary Octopus cyanea and multiple fish species, to unravel hidden mechanisms of leadership and associated dynamics in functional nature and complexity, when divergence is maximized. Using three-dimensional field-based tracking and field experiments, we found that these groups exhibit complex functional dynamics and composition-dependent properties. Social influence is hierarchically distributed over multiscale dimensions representing role specializations: fish (particularly goatfish) drive environmental exploration, deciding where, while the octopus decides if, and when, the group moves. Thus, ‘classical leadership’ can be insufficient to describe complex heterogeneous systems, in which leadership instead can be driven by both stimulating and inhibiting movement. Furthermore, group composition altered individual investment and collective action, triggering partner control mechanisms (that is, punching) and benefits for the de facto leader, the octopus. This seemingly non-social invertebrate flexibly adapts to heterospecific actions, showing hallmarks of social competence and cognition. These findings expand our current understanding of what leadership is and what sociality is.

Read the full article at: www.nature.com