Complex Adaptive Systems of Systems (CASOS) Engineering Environment

Technical Report · Tue Feb 01 00:00:00 EST 2011

DOI:https://doi.org/10.2172/1038222· OSTI ID:1038222

Linebarger, John Michael ^[1]; Detry, Richard Joseph ^[1]; Finley, Patrick D. ^[1]; Maffitt, S. Louise ^[1]; Beyeler, Walter Eugene ^[1]; Ames, Arlo Leroy ^[1]; Glass Jr., Robert John ^[1]

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1. Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)

Complex Adaptive Systems of Systems, or CASoS, are vastly complex physical-socio-technical systems which we must understand to design a secure future for the nation. The Phoenix initiative implements CASoS Engineering principles combining the bottom up Complex Systems and Complex Adaptive Systems view with the top down Systems Engineering and System-of-Systems view. CASoS Engineering theory and practice must be conducted together to develop a discipline that is grounded in reality, extends our understanding of how CASoS behave and allows us to better control the outcomes. The pull of applications (real world problems) is critical to this effort, as is the articulation of a CASoS Engineering Framework that grounds an engineering approach in the theory of complex adaptive systems of systems. Successful application of the CASoS Engineering Framework requires modeling, simulation and analysis (MS and A) capabilities and the cultivation of a CASoS Engineering Community of Practice through knowledge sharing and facilitation. The CASoS Engineering Environment, itself a complex adaptive system of systems, constitutes the two platforms that provide these capabilities.

• Research Organization: Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
• Sponsoring Organization: USDOE National Nuclear Security Administration (NNSA); USDOE Laboratory Directed Research and Development (LDRD) Program
• DOE Contract Number: AC04-94AL85000
• OSTI ID: 1038222
• Report Number(s): SAND--2012-1117
• Country of Publication: United States
• Language: English

Related Subjects

42 ENGINEERING
99 GENERAL AND MISCELLANEOUS
ADAPTIVE SYSTEMS
CULTIVATION
DESIGN
SIMULATION