Simulation and Computational Red Teaming for Problem Solving (IEEE Press Series on Computational Intelligence)
Authors: Jiangjun Tang – George Leu – Hussein A. Abbass
ISBN-10: 1119527171
ISBN-13: 9781119527176
Edition 版次: 1
Publication Date 出版日期: 2019-11-19
Print Length 页数: 496 pages
Book Description
By finelybook
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.
