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…
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…
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.
Case studies in complexity (part 1): Introduction – why this series is needed, and what it will address
The case studies are analysed in the context of the advice given by Snowden and…
Exploring the science of complexity series (part 17): Concept 8 – Adaptive agents
A special class of complex systems is made up of adaptive agents.
The Knowledge Translation Complexity Network (KTCN) model
The KTCN model uses complexity and network concepts to better inform knowledge translation.
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.
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…
Exploring the science of complexity series (part 14): Concept 5 – Sensitivity to initial conditions
The behaviours of complex systems are sensitive to their initial conditions.
Simplistic solutions to complex problems turns behavioural science into a dangerous pseudoscience (part 3): Why it’s dangerous
Simplistic obesity messages have led to obese people being stigmatised which manifests as discrimination, social…