cas/definition.php (people or term)
Diagram: Local Interactions

Local Interactions

Agents in a Complex System are guided by neighboring agents - nonetheless leading to global order.

More coming soon!


EDIT TEXT For this section:

Similarly, we can create a very simple agent-based model, a grid composed of cells that follow basic rules that will turn a given cell on the grid to either an 'on' or 'off' setting - depending on the status of neighboring cells - and then let the system unfold step by step.

Net Logo


 


Cite this page:

Wohl, S. (2022, 8 June). Local Interactions. Retrieved from https://kapalicarsi.wittmeyer.io/definition/local-interactions

Local Interactions was updated June 8th, 2022.

Nothing over here yet

In Depth: Local Interactions

This is the feed, a series of related links and resources. Add a link to the feed →

Nothing in the feed...yet.

This is a list of People that Local Interactions is related to.

This is a list of Terms that Local Interactions is related to.

This is a collection of books, websites, and videos related to Local Interactions

By Sharon Wohl

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

Learn more →

This is a list of Urban Fields that Local Interactions is related to.

Cellular Automata & Agent-Based Models offer city simulations whose behaviors we learn from. What are the strengths & weaknesses of this mode of engaging urban complexity?

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 strategy looks at how rule based systems yield emergent structures.

Learn more →

Many cities around the world self-build without top-down control. What do these processes have in common with complexity?

Cities around the world are growing without the capacity for top-down control. Informal urbanism is an example of bottom-up processes that shape the city. Can these processes be harnessed in ways that make them more effective and productive?

Learn more →

New ways of modeling the physical shape of cities allows us to shape-shift at the touch of a keystroke.  Can this ability to generate a multiplicity of possible future urbanities help make better cities?

Parametric approaches to urban design are based on creating responsive models of urban contexts that are programmed to change form according to how inputs are varied. Rather than the architect creating a final product, they instead create a space of possibilities ({{phase-space}}) that is activated according to how various flow variables - economic, environmental, or social, are tweaked. This architectural form-making approachholds similarities to complex systems in terms of how entities are framed: less as objects in and of themselves, and more as responsive, adaptive agents, activated by differential inputs.
Learn more →

Across the globe we find spatial clusters of similar economic activity. How does complexity help us understand the path-dependent emergence of these economic clusters?

Evolutionary Economic Geography (EEG) tries to understand how economic agglomerations or clusters emerge from the bottom-up. This branch of economics draws significantly from principles of complexity and emergence, seeing the rise of particular regions as path-dependent, and looking to understand the forces that drive change for firms - seen as the agents evolving within an economic environment.

Learn more →

This is a list of Key Concepts that Local Interactions is related to.

There would be some thought experiments here.

Navigating Complexity © 2015-2022 Sharon Wohl, all rights reserved. Developed by Sean Wittmeyer
Sign In (SSO) | Sign In


Test Data
Related (this page): Urban Modeling (11), Parametric Urbanism (10), Incremental Urbanism (13), Evolutionary Geography (12), Rules (213), 
Section: terms
Non-Linearity
Related (same section): 
Related (all): Urban Modeling (11, fields), Resilient Urbanism (14, fields), Relational Geography (19, fields), Landscape Urbanism (15, fields), Evolutionary Geography (12, fields), Communicative Planning (18, fields), Assemblage Geography (20, fields), Tipping Points (218, concepts), Path Dependency (93, concepts), Far From Equilibrium (212, concepts), 
Nested Orders
Related (same section): 
Related (all): Urban Modeling (11, fields), Urban Informalities (16, fields), Resilient Urbanism (14, fields), Self-Organized Criticality (64, concepts), Scale-Free (217, concepts), Power Laws (66, concepts), 
Emergence
Related (same section): 
Related (all): Urban Modeling (11, fields), Urban Informalities (16, fields), Urban Datascapes (28, fields), Incremental Urbanism (13, fields), Evolutionary Geography (12, fields), Communicative Planning (18, fields), Assemblage Geography (20, fields), Self-Organization (214, concepts), Fitness (59, concepts), Attractor States (72, concepts), 
Driving Flows
Related (same section): 
Related (all): Urban Datascapes (28, fields), Tactical Urbanism (17, fields), Relational Geography (19, fields), Parametric Urbanism (10, fields), Landscape Urbanism (15, fields), Evolutionary Geography (12, fields), Communicative Planning (18, fields), Assemblage Geography (20, fields), Open / Dissipative (84, concepts), Networks (75, concepts), Information (73, concepts), 
Bottom-up Agents
Related (same section): 
Related (all): Urban Modeling (11, fields), Urban Informalities (16, fields), Resilient Urbanism (14, fields), Parametric Urbanism (10, fields), Incremental Urbanism (13, fields), Evolutionary Geography (12, fields), Communicative Planning (18, fields), Rules (213, concepts), Iterations (56, concepts), 
Adaptive Capacity
Related (same section): 
Related (all): Urban Modeling (11, fields), Urban Informalities (16, fields), Tactical Urbanism (17, fields), Parametric Urbanism (10, fields), Landscape Urbanism (15, fields), Incremental Urbanism (13, fields), Evolutionary Geography (12, fields), Feedback (88, concepts), Degrees of Freedom (78, concepts),