An Advanced Computational Approach to System of Systems Analysis & Architecting Using Agent-Based Behavioral Model

Abstract

A major challenge to the successful planning and evolution of an acknowledged System of Systems (SoS) is the current lack of understanding of the impact that the presence or absence of a set of constituent systems has on the overall SoS capability. Since the candidate elements of an SoS are fully functioning, stand-alone Systems in their own right, they have goals and objectives of their own to satisfy, some of which may compete with those of the overarching SoS. These system-level concerns drive decisions to participate (or not) in the SoS. Individual systems typically must be requested to join the SoS construct, and persuaded to interface and cooperate with other Systems to create the "new" capability of the proposed SoS. Current SoS evolution strategies lack a means for modeling the impact of decisions concerning participation. The goal of this research is to model the evolution of the architecture of an acknowledged SoS that accounts for the ability and willingness of constituent systems to support the SoS capability development. Since DoD Systems of Systems (SoS) development efforts do not typically follow the normal program acquisition process described in DoDI 5000.02, the Wave Model proposed by Dahmann and Rebovich is used as the basis for this research on SoS capability evolution. The Wave Process Model provides a framework for an agent-based modeling methodology, which is used to abstract the non-utopian behavioral aspects of the constituent systems and their interactions with the SoS. In particular, the research focuses on the impact of individual system behavior on the SoS capability and architecture evolution processes. A proof of concept agent-based model (ABM) of the system interactions is developed and integrated with a genetic algorithm (GA) to explore the potential architectural design space, using a fuzzy associative memory (FAM) to evaluate candidate architectures for simulating SoS creation and evolution.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2012
Accession Number
ADA582906

Entities

People

  • Cihan Dagli

Organizations

  • Systems Engineering Research Center

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Ground and Sea Platforms
  • Human Systems
  • Space

DTIC Thesaurus Topics

  • Agent-Based Simulations
  • Artificial Intelligence
  • Computer Programming
  • Computer Science
  • Computers
  • Department Of Defense
  • Gap Analysis
  • Genetic Algorithms
  • Information Systems
  • Mathematical Models
  • Multiagent Systems
  • Software Development
  • System Of Systems
  • Systems Analysis
  • Systems Engineering
  • Teamwork
  • Test And Evaluation

Fields of Study

  • Computer science

Readers

  • Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • Biotechnology
  • Biotechnology - Cancer Biotech
  • Space