System Dynamics Modeling With R (lecture Notes In Social Networks)
by Jim Duggan /
2016 / English / PDF
12.1 MB Download
This new interdisciplinary work presents system dynamics as a
powerful approach to enable analysts build simulation models of
social systems, with a view toward enhancing decision making.
Grounded in the feedback perspective of complex systems, the book
provides a practical introduction to system dynamics, and covers
key concepts such as stocks, flows, and feedback. Societal
challenges such as predicting the impact of an emerging infectious
disease, estimating population growth, and assessing the capacity
of health services to cope with demographic change can all benefit
from the application of computer simulation. This text explains
important building blocks of the system dynamics approach,
including material delays, stock management heuristics, and how to
model effects between different systemic elements. Models from
epidemiology, health systems, and economics are presented to
illuminate important ideas, and the R programming language is used
to provide an open-source and interoperable way to build system
dynamics models.
This new interdisciplinary work presents system dynamics as a
powerful approach to enable analysts build simulation models of
social systems, with a view toward enhancing decision making.
Grounded in the feedback perspective of complex systems, the book
provides a practical introduction to system dynamics, and covers
key concepts such as stocks, flows, and feedback. Societal
challenges such as predicting the impact of an emerging infectious
disease, estimating population growth, and assessing the capacity
of health services to cope with demographic change can all benefit
from the application of computer simulation. This text explains
important building blocks of the system dynamics approach,
including material delays, stock management heuristics, and how to
model effects between different systemic elements. Models from
epidemiology, health systems, and economics are presented to
illuminate important ideas, and the R programming language is used
to provide an open-source and interoperable way to build system
dynamics models.System Dynamics Modeling with R
System Dynamics Modeling with R also
describes hands-on techniques that can enhance client confidence in
system dynamic models, including model testing, model analysis, and
calibration. Developed from the author’s course in system dynamics,
this book is written for undergraduate and postgraduate students of
management, operations research, computer science, and applied
mathematics. Its focus is on the fundamental building blocks of
system dynamics models, and its choice of R as a modeling language
make it an ideal reference text for those wishing to integrate
system dynamics modeling with related data analytic methods and
techniques.
also
describes hands-on techniques that can enhance client confidence in
system dynamic models, including model testing, model analysis, and
calibration. Developed from the author’s course in system dynamics,
this book is written for undergraduate and postgraduate students of
management, operations research, computer science, and applied
mathematics. Its focus is on the fundamental building blocks of
system dynamics models, and its choice of R as a modeling language
make it an ideal reference text for those wishing to integrate
system dynamics modeling with related data analytic methods and
techniques.