Simulation is the art of using tools - physical or conceptual
models, or computer hardware and software, to attempt to create the
illusion of reality. The discipline has in recent years expanded to
include the modelling of systems that rely on human factors and
therefore possess a large proportion of uncertainty, such as
social, economic or commercial systems. These new applications make
the discipline of modelling and simulation a field of dynamic
growth and new research.
Stanislaw Raczynski outlines the considerable and promising
research that is being conducted to counter the problems of
uncertainty surrounding the methods used to approach these new
applications. It aims to stimulate the reader into seeking out new
tools for modelling and simulation. Examines the state-of-the-art
in recent research into methods of approaching new applications in
the field of modelling and simulation Provides an introduction to
new modelling tools such as differential inclusions, metric
structures in the space of models, semi-discrete events, and use of
simulation in parallel optimization techniques Discusses recently
developed practical applications: for example the PASION simulation
system, stock market simulation, a new fluid dynamics tool,
manufacturing simulation and the simulation of social structures
Illustrated throughout with a series of case studies
"Modelling and Simulation: The Computer Science of Illusion"
will appeal to academics, postgraduate students, researchers and
practitioners in the modelling and simulation of industrial
computer systems. It will also be of interest to those using
simulation as an auxiliary tool.
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