Systems & complexity
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Exploring the science of complexity series (part 20): Conclusions – summary
In this concluding section, we will reflect on the questions we posed at the start of our journey.
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Exploring the science of complexity series (part 19): Concept 10 – Co-evolution
As agents operate in a system, changes in the system and changes in the other actors can feed back, leading…
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Exploring the science of complexity series (part 18): Concept 9 – Self-organisation
The ways in which actors interact can give rise to self-organised phenomena.
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The global South is changing how knowledge is made, shared and used
Europe and North America dominate the global production of knowledge, but this is changing as a process of creating knowledge…
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Exploring the science of complexity series (part 17): Concept 8 – Adaptive agents
A special class of complex systems is made up of adaptive agents.
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The Knowledge Translation Complexity Network (KTCN) model
The KTCN model uses complexity and network concepts to better inform knowledge translation.
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Is a new conceptual model really the roadmap for BIM-based KM in construction projects?
The model describes a series of steps leading to the establishment of an 'electronic-intelligent building knowledge model' (e-iBKM).
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Exploring the science of complexity series (part 16): Concept 7 – Strange attractors and the ‘edge of chaos’
The patterns underlying seeming chaos within complex systems are explained.
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Three initiatives that are helping to address the global knowledge imbalance
They are the Citing Africa podcast series, Wuṉḏaŋarr Yolŋu Gurruṯu (Strong Yolŋu Families) resource, and 2019 International Year of Indigenous…
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Exploring the science of complexity series (part 15): Concept 6 – Phase space and attractors
The overall shape of the system and its future possibilities are described using the idea of phase space.