| dc.description.abstract | This book System Dynamics: Modelling and Simulation is a totally new book with
numerous examples and case studies for better understanding the complex systems
and their changes through modelling and simulation to aid in policy formulation
and developing management strategies for sustainable development. This book
provides a comprehensive introduction to systems thinking and modelling of
complex systems with application to agricultural, aquacultural, environmental
and socio-economic systems. Also this book essentially provides the principles of
system dynamics with numerous examples and a good number of case studies in
agricultural, aquacultural, environmental and socio-economic systems. It covers all
aspects of system dynamics starting from systems thinking to participatory model
building to provide a tool for policy planning, and the main focus is to aid in policy
design.
This book has been written primarily for undergraduate and postgraduate
courses on system dynamics, systems engineering, system simulation, agricultural
systems and multidisciplinary courses on agricultural, aquacultural, environmental
and socio-economic systems. This book can be adopted for courses in electrical
engineering and computer science. It will also serve as an excellent reference for
practicing system dynamists, system dynamics researchers and policy planners. It is
the outcome of several years of teaching and research in system dynamics
modelling and simulation with applications in agricultural, aquacultural, environmental
and socio-economic systems and also is an updated and a new book on
principles of system dynamics.
This book covers the wide spectrum of system dynamics methodology of
modelling and simulation of complex systems: systems thinking, causal diagrams,
system structure of stock–flow diagrams, parameter estimation and tests for confidence
building in system dynamics models with a good number of worked-out
examples in diverse fields using STELLA and VENSIM. In case studies, problem
statement with dynamic hypothesis is followed by causal loop diagrams, stock–flow
diagrams, parameter estimation, model validation and policy design. Exercises
have also been included at the end of each chapter for further practices. | en_US |
