Abstract
System of Systems (SoS) development is a complex process that depends on the cooperation of various independent Systems [1]. SoS acquisition and development differs from that typical for a single System; it has been shown to follow a wave paradigm known as the Wave Model [2]. Agent based models (ABMs) consist of a set of abstracted entities referred to as agents, and a framework using simplified rules for simulating agent decisions and interactions. Agents have their own goals and are capable of perceiving changes in the environment. Systemic (global) behavior emerges from the decisions and interactions of the agents. This research provides a generic model of SoS development with a genetic algorithm and fuzzy assessor implemented in an agent-based model. the generic SoS development follows the Wave Model. the genetic algorithm provides an initial SoS meta-architecture. the fuzzy assessor qualitatively evaluates SoS meta-architectures. the agent-Based model implements the generic SoS development, the genetic algorithm, the fuzzy assessor, and independent SoS and system agents and shows the SoS development based on an initial set of conditions. a prototype model is developed to test the concept on a sample from the DoD Intelligence, Surveillance, and Reconnaissance (ISR) domain. © 2012 Published by Elsevier B.V.
Recommended Citation
P. Acheson et al., "Understanding System of Systems Development using an Agent-Based Wave Model," Procedia Computer Science, vol. 12, pp. 21 - 30, Elsevier, Jan 2012.
The definitive version is available at https://doi.org/10.1016/j.procs.2012.09.024
Department(s)
Engineering Management and Systems Engineering
Publication Status
Open Access
Keywords and Phrases
Agent based model; Fuzzy systems; Genetic algorithm; Human behavior; SoS; System of systems
International Standard Serial Number (ISSN)
1877-0509
Document Type
Article - Conference proceedings
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2024 Elsevier, All rights reserved.
Creative Commons Licensing
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Publication Date
01 Jan 2012
Comments
U.S. Department of Defense, Grant H98230-08-D-0171