Understanding system of systems development using an agent-based wave model

Paulette Acheson, Louis Pape, Cihan Dagli, Nil Kilicay-Ergin, John Columbi, Khaled Haris

Research output: Contribution to journalConference articlepeer-review

15 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)21-30
Number of pages10
JournalProcedia Computer Science
Volume12
DOIs
StatePublished - 2012
Event2012 Complex Adaptive Systems Conference - Washington, DC, United States
Duration: Nov 14 2012Nov 16 2012

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

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