Now showing items 1-6 of 6
Equation-based policy optimization for agent-oriented system dynamics models
(Wiley Blackwell, 2008-01-01)
Within system dynamics, optimization has played an important role in identifying the best range of parameter values for policies in any given model. Optimal solutions focus on discovering the best combination of model ...
Co-evolutionary analysis: a policy exploration method for system dynamics models
(System Dynamics Society / Wiley, 2012-10-22)
In system dynamics (SD), complex nonlinear systems can generate a wide range of possible behaviours that frequently require search and optimization algorithms in order to explore optimal policies. Within the SD literature, ...
Observations on the shortest independent loop set algorithm
(System Dynamics Society / Wiley, 2012-07-31)
The shortest independent loop set (SILS) algorithm is a widely adopted loop selection method in eigenvalue elasticity analysis to identify dominant loops. However, we find that, in an individual-based model, the SILS cannot ...
The influence of random interactions and decision heuristics on norm evolution in social networks
In this paper we explore the effect that random social interactions have on the emergence and evolution of social norms in a simulated population of agents. In our model agents observe the behaviour of others and update ...
System dynamics modelling to support policy analysis for sustainable health care
System dynamics (SD) is an established simulation methodology used to explore the behaviour of social systems over time. The field has addressed challenging sustainability problems in fisheries, urban planning and environmental ...
Input and output data analysis for system dynamics modelling using the tidyverse libraries of R
From a number of perspectives, system dynamics is a data‐intensive activity. First, each modelling challenge addresses behaviour over time, where historical time series data inform the model‐building process, and techniques ...