Diagram: Bottom-up

Bottom-up
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Complex Systems are generated from the local interactions of multiple AGENTS. These agents are not actively striving to achieve any form of 'global' structure or pattern, but simply behave in their own self interests. Hence, we describe CAS dynamics as being generated from 'the bottom up' as opposed to 'the top down' as would be the case in traditional hierarchical organizations.

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Cite this page:

Wohl, S. (2017, 12 June). Bottom-up. Retrieved from https://kapalicarsi.wittmeyer.io/definition/bottom-up

Bottom-up was updated June 12th, 2017.

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  • This is a list of Urban Fields that Bottom-up is related to.

    Increasingly, data is guiding how cities are built and managed.  'Datascapes' are derived from our actions but also then steer them. How do humans and data interact in complex ways?

    More and more, the proliferation of data is changing the ways in which we inhabit space... and so forth. Read more and see related content for Urban Datascapes →

    Tactical interventions are light, quick and cheap - but if deployed using a complexity lens, could they be a generative learning tool that helps make our cities more fit?

    Tactical Urbanism is a branch of urban thinking that tries to understand the benefits of grassroots, bottom-up initiatives in creating meaningful urban space. While not associating itself directly with complexity theory, many of the tools it employs -particularly its way of 'learning by doing' ties in with adaptive and emergent concepts from complexity theory. {{tactical-urbanism}}

    Read more and see related content for Tactical Urbanism →

    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 of 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? Read more and see related content for Informal Urbanism →

    Cities traditionally evolved over time,  shifting to meet user needs. How might complexity theory help us  emulate such processes to generate 'fit' cities?

    Some Urban thinkers consider how the nature of the morphologic characteristics of the city help enable it to evolve, incrementally, over time. This branch of Urban Thinking considers time and evolution as key to generating fit urban spaces Read more and see related content for Generative Urbanism →

    Communicative planning  broaden the scope of voices engaged in planning processes. How does complexity help  us understand the productive capacity of these diverse agents?

    A growing number of spatial planners are realizing that they need to harness many voices in order to navigate the complexity of the planning process. Communicative strategies aim to move from a top-down approach of planning, to one that engages many voices from the bottom up. Read more and see related content for Communicative Planning →
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  • There would be some thought experiments here.

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    Test Data
    Related (this page): Communicative Planning (18), Bottom-up Agents (22), Swarm Behavior (60), Requisite Variety (90), Local Interactions (89), Schemata (69), Building Blocks (63), 
    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), Assemblage Geography (20, fields), Tipping Points (218, concepts), Path Dependency (93, concepts), Far From Equilibrium (212, concepts), 
    Nested Scales
    Related (same section): 
    Related (all): Urban Modeling (11, fields), Resilient Urbanism (14, fields), Informal Urbanism (16, 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 Datascapes (28, fields), Landscape Urbanism (15, fields), Informal Urbanism (16, fields), Generative Urbanism (13, fields), Evolutionary Geography (12, fields), Assemblage Geography (20, fields), Self-Organization (214, concepts), Fitness (59, concepts), Attractor States (72, concepts), 
    Driving Flows
    Related (same section): 
    Related (all): Urban Modeling (11, fields), Urban Datascapes (28, fields), Tactical Urbanism (17, fields), Relational Geography (19, fields), Parametric Urbanism (10, fields), Landscape Urbanism (15, 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), Resilient Urbanism (14, fields), Parametric Urbanism (10, fields), Informal Urbanism (16, fields), Generative Urbanism (13, fields), Evolutionary Geography (12, fields), Communicative Planning (18, fields), Rules (213, concepts), Degrees of Freedom (78, concepts), 
    Adaptive Capacity
    Related (same section): 
    Related (all): Tactical Urbanism (17, fields), Parametric Urbanism (10, fields), Landscape Urbanism (15, fields), Informal Urbanism (16, fields), Generative Urbanism (13, fields), Evolutionary Geography (12, fields), Iterations (56, concepts), Feedback (88, concepts), Cybernetics (53, concepts),