Definitions are key thinkers, attributes, and seminal texts that relate or contribute to Complex Adaptive Systems theory. This is an alphabetical listing of all definitions in the CAS Explorer. See all categories and collections in the site →
Relates to how {{Landscape-Urbanism}} positions complexity thinking Learn More about Affordances →
diffusion model spots Learn More about Alan Turing →
Really the first to move it beyond graphs
Learn More about Albert Laszlo Barabasi →This is a default subtitle for this page. Learn More about Alejandro Aravena →
This is a default subtitle for this page. Learn More about Arrow of Time →
This is a default subtitle for this page. Learn More about Ash Amin & Thrift Nigel →
Complex Adaptive Systems do not obey predictable, linear trajectories. They are "Sensitive to Initial Conditions", such that small changes in these conditions can lead the system to unfold in unexpected ways. That said, in some systems, particular 'potential unfoldings' are more likely to occur than others. We can think of these as 'attractor states' to which a system will tend to gravitate.
Learn More about Attractor States →This is a default subtitle for this page. Learn More about Ben Hamouche →
This is a default subtitle for this page. Learn More about Benoit Mandelbrot →
This is a default subtitle for this page. Learn More about Bernhard Riemann →
This is a default subtitle for this page. Learn More about Besim Hakim →
This feature of complex systems means that the behavior of a system cannot be known in advance, but instead needs to be enacted in time. Learn More about Bifurcations →
https://www.worldcat.org/title/order-out-of-chaos-mans-new-dialogue-with-nature/oclc/1028597749
Learn More about BOOK: Order out of Chaos →Learn More about BOOK: Self-Organization in Biological Systems →
An excellent introduction to...
Learn More about BOOK: Signs of Life: How complexity pervades Biology →https://www.worldcat.org/title/wisdom-of-crowds/oclc/966061865
Learn More about BOOK: The Wisdom of Crowds →Cities as Systems within Systems of Cities
Learn More about Brian Berry →The nature of a building block varies according to the system: it may take the form of an ant, a cell, a neuron or a building.
Learn More about Building Blocks →Holling relates concepts from CAS theory with notions of Resiliency.
Learn More about C. S. Holling →In geography there has been a move away from thinking about space as a "thing" and to instead think about how different places exist due to how they interact with flows. Places that capture more flows, are more geographically relevant
Learn More about Capturing Flows →See also: Causal loop diagram - Wikipedia
Learn More about Causal Loop Diagrams →Caramelization half and half robust kopi-luwak, brewed, foam affogato grounds extraction plunger pot, bar single shot froth eu shop latte et, chicory, steamed seasonal grounds dark organic. Learn More about Causal Loop Diagrams →
This is a default subtitle for this page. Learn More about Charles Darwin →
Charles Waldheim is a Canadian-American architect and urbanist, and currently a professor of Landscape Architecture at Harvard University.
Learn More about Charles Waldheim →Chris Langton is a research and computer scientist. His research interests include artificial life, complex adaptive systems, distributed dynamical systems, multi-agent systems, simulation technology, and the role of information in physics.
Learn More about Chris Langton →This is a default subtitle for this page. Learn More about Claude Shannon →
Caramelization half and half robust kopi-luwak, brewed, foam affogato grounds extraction plunger pot, bar single shot froth eu shop latte et, chicory, steamed seasonal grounds dark organic. Learn More about Conrad Waddington →
Beyond its day-to-day usage, this term used in now employed in the social sciences to highlight the Path Dependency exhibited in many social systems. This is seen to contrast with prior conceptions like "the march of history", which imply a clear causal structure. By speaking about the work as something contingent, it also begs the question of what other "worlds" might have just as equally manifested, had things been slightly different.
Similar ideas are captured in the ideas of Non-Linearity, {{sensitivity-to-initial-conditions}}, History Matters.
Pictured below: the contingent trajectory of the double pendulum:
Learn More about Contingency →
The word Cybernetics comes from the Greek 'Kybernetes', meaning 'steersman' or 'oarsman'. It is the etymological root of the English 'Governor'. Cybernetics is related to an interest in dynamics that lead to internal rather than external governing.
Learn More about Cybernetics →
Caramelization half and half robust kopi-luwak, brewed, foam affogato grounds extraction plunger pot, bar single shot froth eu shop latte et, chicory, steamed seasonal grounds dark organic. Learn More about D'Arcy Wentworth Thompson →
Understanding the degrees of freedom available within a complex system is important because it helps us understand the overall scope of potential ways in which a system can unfold. We can imagine that a given complex system is subject to a variety of inputs (many of which are unknown), but then we must ask, what is the system's range of possible outputs?
Learn More about Degrees of Freedom →This is a default subtitle for this page. Learn More about Doreen Massey →
This is a default subtitle for this page. Learn More about Edward Norton Lorenz →
An enslaved state can persist as an attractor (see Attractor States) within a Fitness Landscape.
Learn More about Enslaved States →This is a default subtitle for this page. Learn More about Eric Bonabeau →
This is a default subtitle for this page. Learn More about Eric Sheppard →
This is a default subtitle for this page. Learn More about Erik & Ronald Rietveld →
CAS systems evolve over the course of time.
Learn More about Evolutionary →
The Second Law of Thermodynamics is typically at play in most systems - shattered glasses don't reconstitute themselves and pencils don't stay balanced on their tips. But Complex Systems exhibit some pretty strange behaviors that violate these norms...
Learn More about Far From Equilibrium →This coupling between input affecting output - thereby affecting input - creates unique dynamics and interdependencies between the two.
Learn More about Feedback →What do we mean when we speak of Fitness? For ants, fitness might be discovering a source of food that is abundant and easy to reach. For a city, fitness might be moving the maximum number of people in the minimum amount of time. But fitness criteria can also vary - what might be fit for one agent isn't necessarily fit for all.
Learn More about Fitness →
Related Terms and Topics: {{Fitness-Peaks}}, basins-of-attractions, critical-point, Tipping Points, Phase Space Learn More about Fitness Landscape →
Fitness ‘peaks’ are regimes wherein a given agent behavior maximizes energetic returns while minimizing outputs. Peaks are thus optimum behaviors in phase space - though there may be numerous peaks, each employing different strategies. See also {{Fitness-Landscape}} Learn More about Fitness Peaks →
This is relevant to the field of Relational Geography
Learn More about Fluidity/Mobility →Read on: Learn More about Fractals →
More coming soon Learn More about Game Theory →
with Bettencourt
Learn More about Geoffrey West →Caramelization half and half robust kopi-luwak, brewed, foam affogato grounds extraction plunger pot, bar single shot froth eu shop latte et, chicory, steamed seasonal grounds dark organic. Learn More about Georg Cantor →
This is a default subtitle for this page. Learn More about George Kingsley Zipf →
This is a default subtitle for this page. Learn More about Gregory Bateson →
This is a default subtitle for this page. Learn More about Heinz Von Foerster →
This is a default subtitle for this page. Learn More about Henri Poincare →
This is a default subtitle for this page. Learn More about Henry Wai-chung Yeung →
This is a default subtitle for this page. Learn More about Herbert Simon →
Haken popularized the concepts of Enslaved States and 'synergetics'. The notion of 'enslavement' is similar to the idea of Attractor States, wherein a system will tend to gravitate towards a particular regime and then remain in that state unless there is a system Perturbation.
Learn More about Hermann Haken →
Details of the specific historical trajectory a complex system follows can have a huge impact on system behavior Learn More about History Matters →
Negative Feedback | stability Learn More about Homeostasis →
fixed image Learn More about Ignacio Farias →
In order to be responsive to a world consisting of different kinds of inputs, complex systems tune themselves to states holding just enough variety to be interesting (keeping responsive) and just enough homogeneity to remain organized (keeping stable). To understand how this works, we need to understand flows of information in complex systems, and what "information" means. Learn More about Information →
The concept of interactive, incremental shifts in a system might seem innocent - but with enough agents and enough increments we are able to tap into something incredibly powerful. Evolutionary change proceeds in incremental steps - and with enough of these steps, accompanied by feedback at each step, we can achieve fit outcomes. Any strategies for increasing the frequency of these iterations will further drive the effectiveness of this iterative search.
Learn More about Iterations →This is a default subtitle for this page. Learn More about Itzhak Benenson →
This is a default subtitle for this page. Learn More about Jack Ahern →
This is a default subtitle for this page. Learn More about James Corner →
This is a default subtitle for this page. Learn More about Jason Dittmer →
This is a default subtitle for this page. Learn More about Jean Hillier →
This is a default subtitle for this page. Learn More about Jeremy Till & T. Schneider →
This is a default subtitle for this page. Learn More about John Conway →
John Habraken is an Architect, professor, and theorist
Learn More about John Habraken →John Holland is considered one of the seminal thinkers in Complex Adaptive Systems theory.
Learn More about John Holland →This is a default subtitle for this page. Learn More about John Protevi →
This is a default subtitle for this page. Learn More about John Urry →
This is a default subtitle for this page. Learn More about John Von Neumann →
This is a default subtitle for this page. Learn More about Josh Epstein and Rob Axtell →
This is a default subtitle for this page. Learn More about Judith Innes & David Booher →
Key urban thinker Learn More about Juval Portugali →
This is a default subtitle for this page. Learn More about Kim Dovey →
This is a default subtitle for this page. Learn More about Koen Franken →
An Excellent article on integrating bikes using tactical strategies
Learn More about LINK: Wired Magazine →
More coming soon!
Learn More about Local Interactions →Logistic Function Learn More about Lotka & Volterra →
This is a default subtitle for this page. Learn More about Ludwig V. Bertalanffy →
This is a default subtitle for this page. Learn More about Luis Bettencourt →
This is a default subtitle for this page. Learn More about Manifold →
Content coming soon! Learn More about Manuel de Landa →
This is a default subtitle for this page. Learn More about Martin Prominski →
Coined the term 'auto poesis'
Learn More about Maturana & Varela →This is a default subtitle for this page. Learn More about McFarlane & Anderson →
Mike Batty is one of the key contributors to modeling cities as Complex Adaptive Systems
Learn More about Mike Batty →
This is a default subtitle for this page. Learn More about Mike Lydon & Anthony Garcia →
This is a default subtitle for this page. Learn More about Mitchell Feigenbaum →
Complex system are made up of multiple independent components that begin to form modules, nested hierarchies or patches. Learn More about Modularity →
Early versions of systems theory assumed that systems could be 'optimized' to a single condition. CAS analysis assumes that more than one system state can satisfy optimizing criteria, and so the system is able to gravitate to multiple equilibria.
Learn More about Multiple Equilibria →This is a default subtitle for this page. Learn More about Murray Gell-Mann →
Repositions "Anti-Fragile" as a more effective way of speaking about resilience in systems. Learn More about Nassim Taleb →
Negative Feedback is described in more detail on the more general {{feedback-loops}} page. Learn More about Negative Feedback →
This is a default subtitle for this page. Learn More about Negentropy →
Network theory is a huge topic in and of itself, and can be looked at on its own, or in relation to complex systems. There are various formal, mathematical ways of studying networks, as well as looser, more fluid ways of understanding how networks can serve as a structuring mechanism. Learn More about Networks →
Nikos Angelos Salingaros is a mathematician and polymath known for his work on urban theory, architectural theory, complexity theory, and design philosophy.
Learn More about Nikos Salingaros →This is a default subtitle for this page. Learn More about No Central Control →
This is a default subtitle for this page. Learn More about Norbert Weiner →
This is a default subtitle for this page. Learn More about Ole Jensen →
A system is considered to be open and dissipative when energy or inputs can be absorbed into the system, and 'waste' discharged. Here, system inputs like heat, energy, food, etc., can traverse the open boundaries of the system and ‘drive’ it towards order: seemingly in violation of the second law of thermodynamics.
Learn More about Open / Dissipative →can be thought of as connecting to phase space in physics, or the space of possibilities Learn More about Open Scaffolds →
Complex systems can follow many potential trajectories: the actualization of any given trajectory can be dependent on small variables, or "changes to initial conditions" that are actually pretty trivial. Accordingly, if we truly wish to understand system dynamics, we need to pay attention to all system pathways (or the system's phase space) rather than the pathway that happened to unfold.
Learn More about Path Dependency →Patsey Healey has provided a significant contribution to discussions regarding communicative planning and complex systems.
Learn More about Patsy Healey →Important contributor in the area of urban cellular automata
Learn More about Paul Torrens →This is a default subtitle for this page. Learn More about Per Bak →
This is a default subtitle for this page. Learn More about Perturbation →
Peter Allen is a Professor in the field of complexity and system theory, often relating his work to architecture and urban design.
Learn More about Peter Allen →This is a default subtitle for this page. Learn More about Peter Sunley →
Related to {{degrees-of-freedom}}. Learn More about Phase Space →
This is a default subtitle for this page. Learn More about Pierre Belanger →
This is a default subtitle for this page. Learn More about Pierre Paul Grasse →
This is a default subtitle for this page. Learn More about Positive Feedback →
Power laws are particular mathematical distributions that appear in contexts where a very small number of system events or entities exist that, while rare, are highly impactful, alongside of a very large number of system events or entities exist that, while plentiful, have very little impact. Learn More about Power Laws →
Think of preferential attachment as an attribute of when 'the rich get richer' within a networked system. This occurs when nodes that have a lot of links tend to attract more links as other nodes enter the system resulting in super-nodes. Learn More about Preferential Attachment →
This is a default subtitle for this page. Learn More about Prigogine & Stengers →
This is a default subtitle for this page. Learn More about Redundancy →
This is a default subtitle for this page. Learn More about Rem Koolhaas →
This is a default subtitle for this page. Learn More about Remove Virtual →
This is a default subtitle for this page. Learn More about René Thom →
In order for a complex system to adapt, it needs to contain agents that have the capacity to behave in different ways - to enact adaptation you need adaptable things. Learn More about Requisite Variety →
All points are interconnected and interdependent, unfolding in a nonlinear manner with no central source of authority.
Learn More about Rhizomes →'Fingerprint of complexity' extraction plunger pot, bar single shot froth eu shop latte et, chicory, steamed seasonal grounds dark organic.
Learn More about Ricard Solé →This is a default subtitle for this page. Learn More about Robert Axelrod →
Caramelization half and half robust kopi-luwak, brewed, foam affogato grounds extraction plunger pot, bar single shot froth eu shop latte et, chicory, steamed seasonal grounds dark organic. Learn More about Robert May →
This is a default subtitle for this page. Learn More about Ron Boschma →
This is a default subtitle for this page. Learn More about Ron Martin →
This is a default subtitle for this page. Learn More about Ross Ashby →
One of the intriguing characteristics of complex systems is that highly sophisticated emergent phenomena can be generated by seemingly simple agents. These agents follow very simple rules - with dramatic results.
Learn More about Rules →Relates to {{tactical-urbanism}} Learn More about Safe to Fail →
Complex systems tend towards scale-free, nested hierarchies. By 'Scale-free', we mean to say that we can zoom in on the system at any level of magnification, and observe the same kind of structural relations.
Learn More about Scale-Free →Text in progress Learn More about Schemata →
This is a default subtitle for this page. Learn More about Sean Test 1.4 →
Fitness Landscapes / Path Analysis Learn More about Seewall Wright →
An aspect (not always) of certain {{fractals}}
Learn More about Self Similarity →
A system is considered to be self-organizing when the behavior of elements in the system can, together, arrive at a globally more optimal functional regimes compared to if each system element behaved independently. This occurs without the benefit of any controller or director of action. Instead, the system contains elements acting in parallel that will gradually manifest organized, correlated behaviors: Emergence.
Learn More about Self-Organization →
Strike a match and drop it in the forest. How big will the resulting fire be? The forest is dry but not overly so... vegetation is relatively thick. Will the fire burn a few trees and then flame out, or will it jump from branch to branch, burning thousands of acres to the ground?
Learn More about Self-Organized Criticality →
This is a default subtitle for this page. Learn More about Sensitive to Initial Conditions →
This is a default subtitle for this page. Learn More about Sergio Porta →
This is a default subtitle for this page. Learn More about Signals →
Relates to {{Assemblage-Geography}}
Learn More about Stabilized Assemblages →This is a default subtitle for this page. Learn More about Stan Allen →
This is a default subtitle for this page. Learn More about STEALTH.unlimited →
This is a default subtitle for this page. Learn More about Stephen Marshall →
Wolfram was an early and prolific contributor to developing an understanding cellular automata
Learn More about Stephen Wolfram →Considers resilience in urban and ecological systems, with resilience thought of not as a capacity to return to an earlier state after a disturbance, but instead the capacity to evolve or adapt to new conditions
Learn More about Steward Pickett →Whole Earth Catalogue editor, and advocate for resilient design: developed idea of building layers able to evolve and be modified across different time scales.
Learn More about Stewart Brand →More coming soon!
Learn More about Stigmergy →Major complexity theorist associated with the Sante Fe institute, developed idea of a Fitness Landscape
Learn More about Stuart Kauffman →Relates to {{bottom-up-agents}}
Learn More about Swarm Behavior →This is a default subtitle for this page. Learn More about The Architecture of Complexity →
'The Virtual' is a term used by Deleuze and Guattari that parallels the idea of {{phase-space}}. The Virtual alludes to aspects of reality that may or may not manifest, depending on how a system comes to be activated. Learn More about The Virtual →
Economist who developed one of the first cellular automata demonstrations: showing how segregation of agents will emerge as a phenomena due to simple rules that, in and of themselves, do not appear to be strongly linked to segregation outcomes.
Learn More about Thomas Schelling →Complex systems do not follow linear, predictable chains of cause and effect. Instead, system trajectories can diverge wildly into entirely different regimes.
Learn More about Tipping Points →This resource if from a course on complex systems taught by Sharon Wohl
Learn More about TUTORIAL: Algorithms & Differentials →
Teaching Module by Sharon Wohl. Enjoy!
Learn More about TUTORIAL: Attractors →
Dr. Sharon Wohl describes cybernetic principles and how feedback steers a system
Learn More about TUTORIAL: Cybernetics →Dr Sharon Wohl explains the nature of fractals in this excerpt from her course at Iowa State University on Complex Adaptive Systems
Learn More about TUTORIAL: Fractals →Input by Dr. Sharon Wohl
Learn More about Tutorial: General Darwinism →Input segment by Dr. Sharon Wohl:
Learn More about TUTORIAL: Landscape Urbanism →Input by Dr. Sharon Wohl
Learn More about Tutorial: Stigmergy →
Input by Dr. Sharon Wohl - Enjoy!
Learn More about TUTORIAL: Topology →
More to come! Learn More about Unfolding Interactions →
See also: Requisite Variety
Learn More about Variables →Enjoy!
Learn More about Video: Boids →Learn More about Video: Epigenesis →
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Learn More about Video: Game of Life →
Video showing bottom-up order - Example of Stigmergic Behavior
Learn More about Video: Inside the Ant Colony →
Learn More about Video: Non Linear Systems →
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Learn More about Video: Pattern in Nature's Networks →Caramelization half and half robust kopi-luwak, brewed, foam affogato grounds extraction plunger pot, bar single shot froth eu shop latte et, chicory, steamed seasonal grounds dark organic.
Learn More about Video: Reaction Diffusion →Caramelization half and half robust kopi-luwak, brewed, foam affogato grounds extraction plunger pot, bar single shot froth eu shop latte et, chicory, steamed seasonal grounds dark organic.
Learn More about Video: Slime Mold →edit this text
Learn More about Video: Slime Mold & Self-organization →
Sugarscape is considered to be the first large scale agent-based model
Learn More about Video: Sugarscape →
Caramelization half and half robust kopi-luwak, brewed, foam affogato grounds extraction plunger pot, bar single shot froth eu shop latte et, chicory, steamed seasonal grounds dark organic.
Learn More about Video: The Logistic Map →Project developed by Chunyao Liu
Learn More about Video: Urban Lemna →Outlined the 'Pareto distribution' power law - known as the 80/20 rule: whereby 20% of the system is responsible for 80% of the impact.
Learn More about Vilfredo Pareto →With Claude Shannon, developed the field of information theory
Learn More about Warren Weaver →
Coined the phrase 'small world networks', popularized in the idea of 'six degrees of separation' (as well as 'six degrees of Kevin Bacon)
Learn More about Watts & Strogatz →