Definitions

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 →

Affordances

Relates to how {{Landscape-Urbanism}} positions complexity thinking Learn More about Affordances →


Alan Turing

diffusion model spots Learn More about Alan Turing →


Albert Laszlo Barabasi

Really the first to move it beyond graphs

Learn More about Albert Laszlo Barabasi →


Alejandro Aravena

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Arrow of Time

This is a default subtitle for this page. Learn More about Arrow of Time →


Ash Amin & Thrift Nigel

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Attractor States

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.

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Ben Hamouche

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Benoit Mandelbrot

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Bernhard Riemann

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Besim Hakim

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Bifurcations

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 →


BOOK: Order out of Chaos

https://www.worldcat.org/title/order-out-of-chaos-mans-new-dialogue-with-nature/oclc/1028597749

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BOOK: Self-Organization in Biological Systems

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BOOK: Signs of Life: How complexity pervades Biology

An excellent introduction to...

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BOOK: The Wisdom of Crowds

https://www.worldcat.org/title/wisdom-of-crowds/oclc/966061865

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Brian Berry

Cities as Systems within Systems of Cities

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Building Blocks

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.

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C. S. Holling

Holling relates concepts from CAS theory with notions of Resiliency.

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Capturing Flows

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

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Causal Loop Diagrams

See also: Causal loop diagram - Wikipedia

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Causal Loop Diagrams

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Charles Darwin

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Charles Waldheim

Charles Waldheim is a Canadian-American architect and urbanist, and currently a professor of Landscape Architecture at Harvard University.

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Chris Langton

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.

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Claude Shannon

This is a default subtitle for this page. Learn More about Claude Shannon →


Conrad Waddington

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Contingency

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:

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Cybernetics

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.

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D'Arcy Wentworth Thompson

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Degrees of Freedom

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?

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Doreen Massey

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Edward Norton Lorenz

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Enslaved States

An enslaved state can persist as an attractor (see Attractor States) within a Fitness Landscape.

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Eric Bonabeau

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Eric Sheppard

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Erik & Ronald Rietveld

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Evolutionary

CAS systems evolve over the course of time.

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Far From Equilibrium

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...

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Feedback

This coupling between input affecting output - thereby affecting input - creates unique dynamics and interdependencies between the two.

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Fitness

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.

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Fitness Landscape

Related Terms and Topics: {{Fitness-Peaks}}, basins-of-attractions, critical-point, Tipping Points, Phase Space Learn More about Fitness Landscape →


Fitness Peaks

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 →


Fluidity/Mobility

This is relevant to the field of Relational Geography

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Fractals

Read on: Learn More about Fractals →


Game Theory

More coming soon Learn More about Game Theory →


Geoffrey West

with Bettencourt

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Georg Cantor

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George Kingsley Zipf

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Gregory Bateson

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Heinz Von Foerster

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Henri Poincare

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Henry Wai-chung Yeung

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Herbert Simon

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Hermann Haken

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 →


History Matters

Details of the specific historical trajectory a complex system follows can have a huge impact on system behavior Learn More about History Matters →


Homeostasis

Negative Feedback | stability Learn More about Homeostasis →


Ignacio Farias

fixed image Learn More about Ignacio Farias →


Information

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 →


Iterations

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.

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Itzhak Benenson

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Jack Ahern

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James Corner

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Jason Dittmer

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Jean Hillier

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Jeremy Till & T. Schneider

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John Conway

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John Habraken

John Habraken is an Architect, professor, and theorist

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John Holland

John Holland is considered one of the seminal thinkers in Complex Adaptive Systems theory.

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John Protevi

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John Urry

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John Von Neumann

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Josh Epstein and Rob Axtell

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Judith Innes & David Booher

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Juval Portugali

Key urban thinker Learn More about Juval Portugali →


Kim Dovey

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Koen Franken

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LINK: Wired Magazine

An Excellent article on integrating bikes using tactical strategies

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Local Interactions

More coming soon!

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Lotka & Volterra

Logistic Function Learn More about Lotka & Volterra →


Ludwig V. Bertalanffy

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Luis Bettencourt

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Manifold

This is a default subtitle for this page. Learn More about Manifold →


Manuel de Landa

Content coming soon! Learn More about Manuel de Landa →


Martin Prominski

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Maturana & Varela

Coined the term 'auto poesis'

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McFarlane & Anderson

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Mike Batty

Mike Batty is one of the key contributors to modeling cities as Complex Adaptive Systems

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Mike Lydon & Anthony Garcia

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Mitchell Feigenbaum

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Modularity

Complex system are made up of multiple independent components that begin to form modules, nested hierarchies or patches. Learn More about Modularity →


Multiple Equilibria

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.

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Murray Gell-Mann

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Nassim Taleb

Repositions "Anti-Fragile" as a more effective way of speaking about resilience in systems. Learn More about Nassim Taleb →


Negative Feedback

Negative Feedback is described in more detail on the more general {{feedback-loops}} page. Learn More about Negative Feedback →


Negentropy

This is a default subtitle for this page. Learn More about Negentropy →


Networks

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 Salingaros

Nikos Angelos Salingaros is a mathematician and polymath known for his work on urban theory, architectural theory, complexity theory, and design philosophy.

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No Central Control

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Norbert Weiner

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Ole Jensen

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Open / Dissipative

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.

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Open Scaffolds

can be thought of as connecting to phase space in physics, or the space of possibilities Learn More about Open Scaffolds →


Path Dependency

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 →


Patsy Healey

Patsey Healey has provided a significant contribution to discussions regarding communicative planning and complex systems.

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Paul Torrens

Important contributor in the area of urban cellular automata

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Per Bak

This is a default subtitle for this page. Learn More about Per Bak →


Perturbation

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Peter Allen

Peter Allen is a Professor in the field of complexity and system theory, often relating his work to architecture and urban design.

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Peter Sunley

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Phase Space

Related to {{degrees-of-freedom}}. Learn More about Phase Space →


Pierre Belanger

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Pierre Paul Grasse

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Positive Feedback

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Power Laws

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 →


Preferential Attachment

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 →


Prigogine & Stengers

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Redundancy

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Rem Koolhaas

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Remove Virtual

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René Thom

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Requisite Variety

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 →


Rhizomes

All points are interconnected and interdependent, unfolding in a nonlinear manner with no central source of authority.

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Ricard Solé

'Fingerprint of complexity'  extraction plunger pot, bar single shot froth eu shop latte et, chicory, steamed seasonal grounds dark organic.

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Robert Axelrod

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Robert May

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Ron Boschma

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Ron Martin

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Ross Ashby

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Rules

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.

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Safe to Fail

Relates to {{tactical-urbanism}} Learn More about Safe to Fail →


Scale-Free

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.

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Schemata

Text in progress Learn More about Schemata →


Sean Test 1.4

This is a default subtitle for this page. Learn More about Sean Test 1.4 →


Seewall Wright

Fitness Landscapes / Path Analysis Learn More about Seewall Wright →


Self Similarity

An aspect (not always) of certain {{fractals}}

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Self-Organization

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.

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Self-Organized Criticality

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?

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Sensitive to Initial Conditions

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Sergio Porta

This is a default subtitle for this page. Learn More about Sergio Porta →


Signals

This is a default subtitle for this page. Learn More about Signals →


Stabilized Assemblages

Relates to {{Assemblage-Geography}}

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Stan Allen

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STEALTH.unlimited

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Stephen Marshall

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Stephen Wolfram

Wolfram was an early and prolific contributor to developing an understanding cellular automata

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Steward Pickett

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

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Stewart Brand

Whole Earth Catalogue editor, and advocate for resilient design: developed idea of building layers able to evolve and be modified across different time scales.

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Stigmergy

More coming soon!

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Stuart Kauffman

Major complexity theorist associated with the Sante Fe institute, developed idea of a Fitness Landscape

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Swarm Behavior

Relates to {{bottom-up-agents}}

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The Architecture of Complexity

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The Virtual

'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 →


Thomas Schelling

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.

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Tipping Points

Complex systems do not follow linear, predictable chains of cause and effect. Instead, system trajectories can diverge wildly into entirely different regimes.

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TUTORIAL: Algorithms & Differentials

This resource if from a course on complex systems taught by Sharon Wohl

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TUTORIAL: Attractors

Teaching Module by Sharon Wohl. Enjoy!

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TUTORIAL: Cybernetics

Dr. Sharon Wohl describes cybernetic principles and how feedback steers a system

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TUTORIAL: Fractals

Dr Sharon Wohl explains the nature of fractals in this excerpt from her course at Iowa State University on Complex Adaptive Systems

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Tutorial: General Darwinism

Input by Dr. Sharon Wohl

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TUTORIAL: Landscape Urbanism

Input segment by Dr. Sharon Wohl:

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Tutorial: Stigmergy

Input by Dr. Sharon Wohl

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TUTORIAL: Topology

Input by Dr. Sharon Wohl - Enjoy!

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Unfolding Interactions

More to come! Learn More about Unfolding Interactions →


Variables

See also: Requisite Variety

Learn More about Variables →


Video: Boids

Enjoy!

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Video: Epigenesis

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Video: Game of Life

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Video: Inside the Ant Colony

Video showing bottom-up order - Example of Stigmergic Behavior

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Video: Non Linear Systems

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Video: Pattern in Nature's Networks

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Video: Reaction Diffusion

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Video: Slime Mold

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Video: Slime Mold & Self-organization

edit this text

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Video: Sugarscape

Sugarscape is considered to be the first large scale agent-based model

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Video: The Logistic Map

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Video: Urban Lemna

Project developed by Chunyao Liu

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Vilfredo Pareto

Outlined the 'Pareto distribution' power law - known as the 80/20 rule: whereby 20% of the system is responsible for 80% of the impact.

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Warren Weaver

With Claude Shannon, developed the field of information theory

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Watts & Strogatz

Coined the phrase 'small world networks', popularized in the idea of 'six degrees of separation' (as well as 'six degrees of Kevin Bacon)

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