Complexity
Chapter 1 - Worldview
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Welcome to the Complexity page
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Complexity is a lens through which we can look at the world. It is a worldview that percolates through other disciplines. The key idea is that relationships and constraints are the main drivers.
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Core ideas
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Thinking about the concept
A visual thesaurus search is always an excellent starting point to discuss a concept definition:
COMPLEXITY |
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https://www.freethesaurus.com/complexity |
CONSTRAINT |
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https://www.freethesaurus.com/constraint |
ENTANGLEMENT |
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https://www.freethesaurus.com/entanglement |
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What is complexity?
Complexity theory studies complex systems. It draws from research in the natural sciences that examines uncertainty and non-linearity. Complexity theory emphasises interactions and the accompanying feedback loops that constantly change systems. While it proposes that systems are unpredictable, they are also constrained by order-generating rules.
Strategic management and organisational studies uses complexity theory. Application areas include understanding how organisations or firms adapt to their environments and cope with conditions of uncertainty. Organisations have complex structures in that they are dynamic networks of interactions, and these relationships are not aggregations of individual static entities. They are adaptive in that the individual and collective behaviour mutate and self-organise, corresponding to a change-initiating micro-event or collection of events.
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Complexity has to do with systems whose constitutive elements are probabilistically intricate at different space–time scales. These elements are typically—but not necessarily—in great numbers and are correlated in many ways, for example, neural or metabolic networks in living matter, the smoke of a cigarette, the evolution of a galaxy or other astrophysical objects, solar wind, high-energy particle collisions, the connections within and between stock exchanges, ecosystems, psycho-social phenomena, evolutionary linguistics, high-level artificial intelligence and language model algorithms, conservative and dissipative nonlinear dynamical systems, quantum entanglement, Earth’s climate system, granular matter, seismic and rock fracture phenomena, anomalous chemical reactions, urban epidemiological spreads, and medical and non-medical image and signal processing; the list is endless. (1) |
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(1) | When may a system be referred to as complex? an entropic perspective - Constantino Tsallis - Frontiers in Complex Systems - 2023 |
https://www.frontiersin.org/journals/complex-systems/articles/10.3389/fcpxs.2023.1284458/full |
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Simple
c. 1200, "free from duplicity, upright, guileless; blameless, innocently harmless," also "ignorant, uneducated; unsophisticated; simple-minded, foolish," also as a surname, from Old French simple (12c.) "plain, decent; friendly, sweet; naive, foolish, stupid," hence also "wretched, miserable," from Latin simplus or simplex, "simple, plain, unmixed," literally "one-fold" (simplex).
The sense of "free from pride, humble, meek" is from mid-13c. As "consisting of only one substance or ingredient" (opposite of composite or compounded) it dates from late 14c.; as "easily done, presenting no difficulty or obstacles" (opposite of complicated) it dates from late 15c.; that sense also was in Latin.
From mid-14c. as "unqualified; mere; sheer," a sense also found in Latin; also "clear, straightforward; easily understood." From late 14c. as "single, individual; whole." From late 14c. of clothing, etc., "modest, plain, unadorned," and of food, "plain, not sumptuous." In medicine, of fractures, etc., "lacking complications," late 14c. As a law term, "lacking additional legal stipulations, unlimited," from mid-14c.
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Complicated
1620s, "to intertwine," from Latin complicatus "folded together; confused, intricate," past participle of complicare "to involve," literally "to fold together," from com "with, together" (see com-) + plicare "to fold, weave" (from PIE root *plek- "to plait").
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Complex
1650s, "composed of interconnected parts, formed by a combination of simple things or elements," from French complexe "complicated, complex, intricate" (17c.), from Latin complexus "surrounding, encompassing," past participle of complecti "to encircle, embrace," in transferred use, "to hold fast, master, comprehend," from com "with, together" (see com-) + plectere "to weave, braid, twine, entwine," from PIE *plek-to-, suffixed form of root *plek- "to plait."
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Chaos
late 14c., "gaping void; empty, immeasurable space," from Old French chaos (14c.) or directly from Latin chaos, from Greek khaos "abyss, that which gapes wide open, that which is vast and empty" (from *khnwos, from PIE root *ghieh- "to yawn, gape, be wide open"). The meaning "utter confusion" (c. 1600) is an extended sense from theological use of chaos in the Vulgate version of "Genesis" (1530s in English) for "the void at the beginning of creation, the confused, formless, elementary state of the universe." The Greek for "disorder" was tarakhē, but the use of chaos here was rooted in Hesiod ("Theogony"), who describes khaos as the primeval emptiness of the Universe, and in Ovid ("Metamorphoses"), who opposes Khaos to Kosmos, "the ordered Universe."
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Relate
1520s, "to recount, tell," from French relater "refer, report" (14c.) and directly from Latin relatus, used as past participle of referre "bring back, bear back" (see refer), from re- "back, again" + lātus "borne, carried"
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Constraint
late 14c., from Old French constreinte "binding, constraint, compulsion" (Modern French contrainte), fem. noun from constreint, past participle of constreindre, from Vulgar Latin *constrinctus, from Latin constrictus, past participle of constringere "to bind together, tie tightly, fetter, shackle, chain," from assimilated form of com "with, together" (see con-) + stringere "to draw tight" (see strain (v.)).
Meaning "coercion, compulsion, irresistible force or its effect to restrict or compel" is from 1530s.
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https://www.etymonline.com/ |
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Complex can also be straightforward
There is a general perception that if something is labelled as complex, then it is also 'difficult'. I would like to debunk this general idea. I want to refute this here because it often leads to the opposite but wrong reasoning: it is difficult, therefore, it is complex.
I would like to give some examples of staightforward things that are nevertheless complex.
- Perhaps you remember the portable transistor radio. When you wanted to listen to music on the beach, you had to do two things: position the extendable antenna so that it would pick up a signal and turn the tuning knob so that it would capture a music channel. It always took a while for both to tune in, and the tuning was always slightly different the next time.
- We knew exactly what we had to do, but it was a matter of 'trying it out' every time.
- I'll give you a moment to think about what the following sequence of numbers could mean: 12, 14, 4, 9, 11, 14, 23. What do you think? You may be trying to add, subtract, divide, or multiply. Without context, it's very complex to answer. But the context makes it suddenly clear: the number of minutes I spent eating breakfast last week.
- Although this is just seven simple numbers in a row, there are many possible answers without knowing the context.
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Conversely, I would like to give some examples of difficult matters that are not complex.
- Most technical things are not complex, but they are complicated. They work algorithmically with if-then relations.
- The same goes for many 'standalone' computer programs. (It does get complex when large databases are linked and have to pass data to each other.)
- Making a train schedule is not complex; it is complicated. (Execution makes it complex. See my example of the transistor radio)
- A common complaint is that a certain work is far too complex. This is usually not entirely correct because it is the execution that makes it complex, but one has not received training in the complicated subject matter.
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Deep dive
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Complexity theory and knowledge management
Complexity theory also relates to knowledge management (KM) and organisational learning (OL). "Complex systems are, by definition, learning organisations." Complexity theory, KM, and OL are all complementary and co-dependent. “KM and OL each lack a theory of how cognition happens in human social systems – complexity theory offers this missing piece”.
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Constraints
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While we often focus on the collective behaviors of a system, the "constraints" of that system inform and shape that behaviour. Constraints shape a system by modifying its phase space (its range of possible actions) or the probability distribution (the likelihood) of events and movements within that space. Constraints are both key actors and key indicators of a system.
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Constraints |
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Constraints in complexity and the BART framework
(1) --- My first experience of a Group Relations event was pretty“discombobulating”. It was like being dumped into a strange parallel universe filled with foreign language, frustrating “ consultants” and trying to find your way through perpetual confusion with a group of complete strangers. I threw myself into that context with no knowledge of the various theories that underpin the method. Maybe because of that, I was able to be in the moment, not in my head and therefore the learning about myself and my own patterns of relating were profound. After this experience I made a point of acquainting myself with the language and theory. In subsequent events, while knowing the theory made it more challenging to simply be in the “here and now” experience of the event as it unfolded, having these new lenses and awareness enabled another level of learning.
On a point of clarity, I don’t see engaging with and consulting to organizations through this lens as implying an assumption that the system, or the people within it, is in need of therapy. Rather, I would say the intent of working in this way is to bring descriptive self-awareness to the system and its members. The ability to see dysfunctional dynamics and structures in new ways can have a profound impact. Interventions often involve changing boundary conditions, task and role clarity and authority structures to create spaces better able to contain anxiety and unleash creativity. Although the language is different, this is very similar to managing constraints in complexity. On complexity and constraints Complexity theory is my primary “sense-making” lens as I have been working in the field for almost two decades now. Around the same time that my interest in Systems Psychodynamics started, the work of complexity theorists like Paul Cilliers, Alicia Juarerro, and Dave Snowden around the notion of constraints and their importance in complex systems became more salient in that field. Constraints are one of the primary (if not the primary) ways that order is created. Many creation myths describe how order is created out of chaos by a God or gods imposing constraints. Separating light from darkness; creating rhythms and cadences, day and night and seasons. Creating spatial boundaries by separating sky, earth and waters. We create ordered traffic flows by imposing constraints — traffic rules e.g. which side of the road to drive on, painted lines and traffic signs, specific lanes for cyclists. In complexity, we find different constraints that co-evolve with the agents in the system. Enabling constraints that enable emergence and create bounded autonomy. Constraints like these create the conditions for creativity — think of poetry and the creativity of haiku and sonnets. Or rhythm in music. “… it is important to realise that the notion of a constraint is not a negative one. It is not something which merely limits possibilities; constraints are also enabling. By eliminating certain possibilities, others are introduced. Constraints provide a framework that enables descriptions to be built up around it. When dealing with complexity, though, these frameworks cannot be fixed. They are constantly being transformed, and therefore our models will always be provisional”. — Paul Cilliers “Constraints are relational properties that parts acquire in virtue of being unified -not just aggregated- into a systematic whole” — Alicia Juarrero Dave Snowden describes constraints as ordered aspects of complex systems, i.e., things we can manage. He also created a typology of constraints, including some that contain, some that connect and some that exert a force. In constraints-based coaching literature, they describe constraints that limit (close off options) or “invite,” i.e., they create affordances for action. I believe the various evolutions of BART describe these same constraints. BART, the four group analysis elements · Boundaries, · Authority, · Role, · Task, is used extensively in the design and management of Group Relations events and by consultants who use this approach in organizations. It was extended by Cilliers & Koortzen extended BART to CIBART, including Conflict and Identity as system elements to analyze and use in their consulting. I find it a useful, yet limited, scaffold for reflecting on the dynamics in human systems across all scales, including groups, teams, organizations, and even societies. It loses some utility in knowledge-based and networked organizations where all these aspects are fluid and complex and, therefore, not easy to identify and observe. Larry Hirschhorn, James Krantz, Philip Boxer, and others have written extensively on extending or adapting these notions (among others) to remain relevant. I will discuss their work as I dive into greater detail of the various aspects. While these aspects are presented separately, it soon becomes clear they are deeply interdependent and entangled. If the boundaries between different roles and tasks are not clear, it usually requires some form of authority to bring the required clarity. Boundaries can be imposed by formal authority or negotiated between roles. While we can use these are separate lenses, they cannot be “untangled.” When one looks at these as forms of constraint, it becomes clear that it is in the interplay between them that a “holding space” is created that can contain anxiety and enable creativity and productivity. Similar to constraint, containment can also be a problematic word that is often misinterpreted. In this context, containment is about holding. It is not about controlling people or restraining them, rather it is about making anxiety and other emotions workable. Gianpiero Petriglieri describes it as follows: “What do I mean by holding? In psychology, the term has a specific meaning. It describes the way another person, often an authority figure, contains and interprets what’s happening in times of uncertainty. Containing refers to the ability to soothe distress, and interpreting to the ability to help others make sense of a confusing predicament. Think of a CEO who, in a severe downturn, reassures employees that the company has the resources to weather the storm and most jobs will be protected, helps them interpret revenue data, and gives clear directions about what must be done to service existing clients and develop new business. That executive is holding: They think clearly, offer reassurance, orient people and help them stick together. That work is as important as inspiring others. In fact, it is a precondition for doing so.” References: Cilliers, F. & Koortzen, P. (2005) Cilliers & Knoesen CIBART — A Systems Psychodynamics Consulting Model. Cilliers, P. (2001). Boundaries, Hierarchies, and Networks in Complex Systems. International Journal of Innovation Management, Vol. 5, №2 pp. 135–147 © Imperial College Press. Juarrero, A. (1999). Dynamics in action. Intentional behaviour as a complex system. Cambridge, MA: MIT Press. Green, Z.G., Molenkamp R.J. (2005). The BART System of Group and Organizational Analysis. Petriglieri, P. (2020). The Psychology Behind Effective Crisis Leadership. Harvard Busines Review |
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(1) | Sonja Blignaut |
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Flexuous curves
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The dominant player does not fail because they were incompetent, but because they were too competent in the old paradigm and that very competence means the inattentional blindness is writ large into the very fabric of the organisation.
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Flexious curves |
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Do you want to know more?
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Complexity wiki | Cynefin.io |
Complexity in teams | https://www.mdpi.com/1436048 |
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What science can tell you
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B. Kaszás - Tipping phenomena in typical dynamical systems - Nature - 2019 |
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We mention four basic examples
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https://www.nature.com/articles/s41598-019-44863-3 |
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