Urban Modeling

There is a large body of research that employs computational techniques - in particular agent based modeling (ABM) and cellular automata (CA) to understand complex urban dynamics. This research looks at rule based systems that yield emergent structures.

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Parents

Urban Modeling is part of the following collections.

Complexity in Urbanism


Explore Further

These are elements and topics related to Urban Modeling.

Flows and Interactions

Complex Systems involve the exchange of energy and information amongst actors. These interactions are what structure the system, where the behavior of the actors is predicated upon the structure of these relations, rather than upon the nature of the actors themselves. Learn More about Flows and Interactions →


Variables

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Time/Iterations

CAS systems unfold over the course of time, as agents continuously adjust their behaviors in response to feedback. Each iteration of agent behavior can be considered as a 'test' - with productive tests being reinforced and unproductive tests being abandoned. The more time to produce tests, and the more iterations of tests, the more likely a system is to gravitate towards fit configurations. Learn More about Time/Iterations →


Rule Based

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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. Learn More about Multiple Equilibria →


Local Interactions

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Feedback

A feedback loop is a system where energy or information that is an input to a system is transformed to become an output, which then acts in such a way that it is transformed into a new input in a continuous cycle. Learn More about Feedback →


Emerg. of mathematical regularities

What one could describe as the 'fingerprint' of a complex system is the emergence of certain kinds of mathematical regularities that describe the system. Characteristic features of the system are organized according to POWER-LAW Distributions. Power-law distributions also appear in FRACTAL systems. Keep exploring in the topics below to learn more about mathematical regularities in CAS. Learn More about Emerg. of mathematical regularities →


Building Blocks

Complex systems are made up of simple 'building blocks'. A building block could take many forms: an ant, a cell, or a building within the urban fabric. Learn More about Building Blocks →


Bifurcations

Complex systems do not follow linear, predictable chains of cause and effect. Instead, system trajectories can diverge wildly into entirely different regimes. The moments in time when a system splits into different, but equally probable trajectories is referred to as a system bifurcation. Learn More about Bifurcations →


Attractor States

Complex Systems can unfold in multiple trajectories. However, there may be trajectories that become more stable of 'fit'. Such states are considered 'attractor states' to which a system tends to gravitate. Learn More about Attractor States →


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