An authoritative guide to computer simulation grounded in a
multi-disciplinary approach for solving complex problems
Simulation and Computational Red Teaming for Problem Solving offers a
review of computer simulation that is grounded in a multi-disciplinary
approach. The authors present the theoretical foundations of simulation
and modeling paradigms from the perspective of an analyst. The book
provides the fundamental background information needed for designing and
developing consistent and useful simulations. In addition to this basic
information, the authors explore several advanced topics.
The book's advanced topics demonstrate how modern artificial
intelligence and computational intelligence concepts and techniques can
be combined with various simulation paradigms for solving complex and
critical problems. Authors examine the concept of Computational Red
Teaming to reveal how the combined fundamentals and advanced techniques
are used successfully for solving and testing complex real-world
problems. This important book:
- Demonstrates how computer simulation and Computational Red Teaming
support each other for solving complex problems
- Describes the main approaches to modeling real-world phenomena and
embedding these models into computer simulations
- Explores how a number of advanced artificial intelligence and
computational intelligence concepts are used in conjunction with the
fundamental aspects of simulation
Written for researchers and students in the computational modelling and
data analysis fields, Simulation and Computational Red Teaming for
Problem Solving covers the foundation and the standard elements of the
process of building a simulation and explores the simulation topic with
a modern research approach.
