This illuminating text/reference presents a review of the key aspects of
the modeling and simulation (M&S) life cycle, and examines the
challenges of M&S in different application areas. The authoritative work
offers valuable perspectives on the future of research in M&S, and its
role in engineering complex systems.
Topics and features: reviews the challenges of M&S for urban
infrastructure, healthcare delivery, automated vehicle manufacturing,
deep space missions, and acquisitions enterprise; outlines research
issues relating to conceptual modeling, covering the development of
explicit and unambiguous models, communication and decision-making, and
architecture and services; considers key computational challenges in the
execution of simulation models, in order to best exploit emerging
computing platforms and technologies; examines efforts to understand and
manage uncertainty inherent in M&S processes, and how these can be
unified under a consistent theoretical and philosophical foundation;
discusses the reuse of models and simulations to accelerate the
simulation model development process.
This thought-provoking volume offers important insights for all
researchers involved in modeling and simulation across the full spectrum
of disciplines and applications, defining a common research agenda to
support the entire M&S research community.