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All points are interconnected and interdependent, unfolding in a nonlinear manner with no central source of authority.
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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An enslaved state can persist as an attractor (see Attractor States) within a Fitness Landscape.
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.
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Pictured below: the contingent trajectory of the double pendulum:
See also: Causal loop diagram - Wikipedia
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
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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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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Allen holds a PhD in Theoretical Physics and is an Emeritus Professor at Cranfield University in England. Between 1970 and 1987 he worked with Professor Ilya Prigogine on research that led to the establishment of Complexity Science.
He has written and edited several texts about socio-economic modeling and complexity, as well as over 200 articles about regional science, urban science, economics, physics, and system theory. He is editor in chief of the journal Emergence: Complexity and Organization http://journal.emergentpublications.com/
Much of his work and studies concerns the idea of emergence. He has ideas about how the best systems are the ones that are not created wholly by mankind. He says this because humans do not have the capacity to fully understand complexity, therefore letting us design complex systems is a quite inefficient way of designing.
He views cities as complex systems classified by coevolutionary behavior. Because of this he sees cities change overtime, adapt and maintain diverse strategies, sub- optimal behaviors, imperfect information, and an overarching creativity from humans. He questions the quick and rapid development of urban cityscapes as he hopes his research will help increase sustainability of cities and make an impact towards the climate change crisis. He also looks to use agent based modeling in order to further research and innovation in the fields of Living and/or housing, access to food, mobility of agents within a system, and the energy expended to sustain a system.
Key Talk/Text: https://www.complexurban.com/video/183/
This is a link to a lecture given by Peter Allen at the Manchester School of Architecture in 2016. In this lecture he talks about Understanding Urban Transformations through Data as well as the Evolving Complexity of Cities towards the goal of sustainability.
Text adapted from a contribution by Devin Palmberg, Iowa State University, 2021
Cite this page:
Wohl, S. (2022, 18 May). Peter Allen. Retrieved from https://kapalicarsi.wittmeyer.io/definition/peter-allen
Peter Allen was updated May 18th, 2022.
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