TY - JOUR
T1 - Understanding system of systems development using an agent-based wave model
AU - Acheson, Paulette
AU - Pape, Louis
AU - Dagli, Cihan
AU - Kilicay-Ergin, Nil
AU - Columbi, John
AU - Haris, Khaled
N1 - Funding Information:
This material is based upon work supported, in whole or in part, by the U.S. Department of Defense through the Systems Engineering Research Center (SERC) under Contract H98230-08-D-0171. SERC is a federally funded University Affiliated Research Center managed by Stevens Institute of Technology.
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
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U2 - 10.1016/j.procs.2012.09.024
DO - 10.1016/j.procs.2012.09.024
M3 - Conference article
AN - SCOPUS:84896976582
SN - 1877-0509
VL - 12
SP - 21
EP - 30
JO - Procedia Computer Science
JF - Procedia Computer Science
T2 - 2012 Complex Adaptive Systems Conference
Y2 - 14 November 2012 through 16 November 2012
ER -