iv WCCS26: World Conference on Complex Systems 20-22nd April

Day 1: Panel 2 - Rethinking Knowledge in the Age of Complexity

• Helena Knyazeva - Dancing with Complexity: How the World Thinks Through Us
• Carlos Gershenson - The Implications of Complexity
• Leonardo Rodríguez Zoya - Can Statistics Think? Complexity, Future, and Freedom in the Age of Large Language Models
  Panel Chair: Nigel Gilbert 

Courage is one of the 6Cs in nursing, and was on display at WCCS26.

Carlos Gershon began by offering two references, the first:

De Domenico, et al., (2019). Complexity explained: A grassroot collaborative initiative to create a set of essential concepts of complex systems. https://complexityexplained.github.io

This is a brief 20 pages, larger text, and provides a helpful primer to complexity and related concepts covering:

Interactions
Emergence 
Dynamics 
Self-organization
Adaptation
Interdisciplinarity
Methods

For each concept, the authors explain:

Definition/Description
Examples
Relevant Concepts
References

Plus, secondly:

Gershenson, C. The Implications of Interactions for Science and Philosophy. Found Sci 18, 781–790 (2013). https://doi.org/10.1007/s10699-012-9305-8

I liked the practical feel here, the encouragement to think anew, and perhaps taste the "flavors of emergence": synchronic - space; diachronic - time, weak and strong feedback, transversal of scale - upwards and downwards.

There is further conference on complexity later this year (and also online!):

CCS 2026:
The 2026 Conference on Complex Systems
OCTOBER 9 - 16, 2026 BINGHAMTON, NY, USA & ONLINE

In my search I also found:

Carlos Gershenson; Complexity, Artificial Life, and Artificial Intelligence. Artif Life 2025; 31 (3): 289–303. doi:https://doi.org/10.1162/artl_a_00462

Gershenson, C. Self-organizing systems: what, how, and why?. npj Complex 2, 10 (2025). https://doi.org/10.1038/s44260-025-00031-5

Leonardo Rodríguez Zoya's presentation helpfully connected social practice, interdisciplinary bridges, statistical rationality, complex (human) rationality and the future(s): desirable, possible, latent and probable.

individual

|

INTERPERSONAL : SCIENCES

humanistic ------------------------------- mechanistic

SOCIOLOGY : POLITICAL

|

group

COMPLEX (HUMAN) RATIONALITY   cognition	STATISTICAL RATIONALITY Techopraxis LLMs - technology
socio- HUMAN PROBLEMS SOCIAL PRACTICE PRACTICE (one of the 4Ps)	ELECTION - CAMPAIGN SPENDING PEACE NEGOTIATIONS ISLAND ECONOMY CRYPTOCURRENCY

To answer the prompt - 

"Give me a less likely but more fruitful interpretation of this [concept]*."

*Replace with a significant concept in your practice

Would it might help to have a simple, and yet complexity (and simplicity!) primed conceptual framework to assist reflection, argumentation, and progress?

 

I missed the poster at the afternoon break, and followed track 1. I greatly enjoyed Julian Arevalo's - Adaptive Readiness: an Agent-Based Model of Peace Negotiations. Perhaps this accounts for my having no notes or photos for this track except for one. I realise now we did speak, sitting together for the conference dinner. I'm sure I remember Negotiation Lab 1.0 - 

https://www.comses.net/codebases/1256dc74-9ae4-4f49-a235-1ec129be1930/releases/1.0.0/

 

This past week I heard discussion (BBC Radio 4) of the 'income' Norway obtains from its expertise and engagement in peace negotiations.

 

Nicholas Roxburgh, and colleagues Rachel Creaney, Mindi Premarathne and Ruth Wilson through 
Exploring Interdependencies in an Island Economy, reminded me of public engagement in research. Especially when it involves their community; and that community is somewhat rural, or remote.

 

Remah Dahdoul, with Jan Korbel and Stefan Thurner presented -

Campaign-Spending Driven Polarization Transition in a Double-Random Field Model of Elections. The following paper brings home the mathematics in complex systems. The reference is:

 

Jan Korbel and Remah Dahdoul and Stefan Thurner. (2026) Empirical validation of the polarization transition in a double-random field model of elections. arXiv. https://arxiv.org/abs/2510.00612.  doi.org/10.1103/9gjj-1df6.

 

The paper by Saida Hachimi El Idrissi and Mohamed Nemiche is not open access, but the abstract follows. 

 

S. H. El Idrissi and M. Nemiche, "Formation of Complex Societies: An Agent-Based Model Inspired by Freudian Theory," 2024 World Conference on Complex Systems (WCCS), Mohammedia, Morocco, 2024, pp.1-6, doi: 10.1109/WCCS62745.2024.10765573.

Abstract: The rise and emergence of complex societies in the Old World mark a pivotal chapter in human history, characterized by the transition from small, kin-based communities to large, hierarchical states. This transformation raises fundamental questions: How did human societies progress from small, cohesive groups characterized by face-to-face cooperation to the expansive, anonymous societies of today, often organized as states? What factors account for the significant variation in different human populations' capacity to construct stable and functional state structures? To address these questions, we developed an agent-based model grounded in Freud's hypothesis, which posits that civilization could neither emerge nor evolve without the repression of human desires. In the context of social evolution, this repression of desires can be interpreted as the repression of intra-societal competition, ultimately strengthening the society and facilitating the formation of complex social structures. We implemented this model within a realistic representation of the Afroeurasian landmass, incorporating various geographical factors. To validate our model, we compared our simulated results with historical data. The model-predicted pattern of expansion of complex societies demonstrated remarkable congruence with the observed historical patterns in the Old World. The emergence, growth, and distribution of large-scale societies predicted by our computational model showed remarkable consistency with the archaeological and historical record.

keywords: {Analytical models; Computational modeling; Predictive models; Data models; Agriculture; Rivers; History; Complex systems; component; Agent-based Modeling; Repression of satisfaction; cooperation; competition; Social Simulation},
URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10765573&isnumber=10765499 

Unless you are a microsurgeon (increasingly with robotic co-workers), is the word practice, more likely to manifest what is larger, the big picture, a sense of space, even at a societal or continental scale? In reading, I came across four forms of attractors. For me, how they fit into the question of scale makes this paper worthy of seeking out. 

M. Nemiche was unable to attend the conference, and was greatly missed.