Understanding System of Systems Development Using an Agent- Based Wave Model | Zendy

Paulette Acheson | Zendy; Louis Pape | Zendy; Ci̇han H. Dağli | Zendy; Nil KilicayErgin | Zendy; John Columbi | Zendy; Khaled Haris | Zendy

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Understanding System of Systems Development Using an Agent- Based Wave Model

Author(s) -

Paulette Acheson,

Louis Pape,

Ci̇han H. Dağli,

Nil KilicayErgin,

John Columbi,

Khaled Haris

Publication year - 2012

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2012.09.024

Subject(s) - computer science , development (topology) , process (computing) , set (abstract data type) , artificial intelligence , fuzzy logic , multi agent system , genetic algorithm , machine learning , data mining , programming language , mathematical analysis , mathematics

ystem 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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