|
|
|
|
|
| Kaye-Blake, William; Li, Frank Y.; Martin, A. McLeish; McDermott, Alan; Neil, Hayley; Rains, Scott. |
| Multi-Agent Simulation (MAS) models are intended to capture emergent properties of complex systems that are not amenable to equilibrium analysis. They are beginning to see some use for analysing agricultural systems. The paper reports on work in progress to create a MAS for specific sectors in New Zealand agriculture. One part of the paper focuses on options for modelling land and other resources such as water, labour and capital in this model, as well as markets for exchanging resources and commodities. A second part considers options for modelling agent heterogeneity, especially risk preferences of farmers, and the impacts on decision-making. The final section outlines the MAS that the authors will be constructing over the next few years and the types of... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Multi-agent simulation models; Modelling; Agent-based model; Cellular automata; Decision-making; Crop Production/Industries; Environmental Economics and Policy; Farm Management; Land Economics/Use; Livestock Production/Industries. |
| Ano: 2009 |
URL: http://purl.umn.edu/97165 |
| |
|
|
| Yousefi,Milad; Yousefi,Moslem; Fogliatto,F.S.; Ferreira,R.P.M.; Kim,J.H.. |
| The objective of this study was to develop an agent based modeling (ABM) framework to simulate the behavior of patients who leave a public hospital emergency department (ED) without being seen (LWBS). In doing so, the study complements computer modeling and cellular automata (CA) techniques to simulate the behavior of patients in an ED. After verifying and validating the model by comparing it with data from a real case study, the significance of four preventive policies including increasing number of triage nurses, fast-track treatment, increasing the waiting room capacity and reducing treatment time were investigated by utilizing ordinary least squares regression. After applying the preventing policies in ED, an average of 42.14% reduction in the number... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: LWBS; Emergency department; Agent based simulation; Cellular automata; Healthcare industry. |
| Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2018000300610 |
| |
|
|
|
