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Updated: Mar 3, 2026
05:37
An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
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Risk Modeling of Interdependent Complex Systems of Systems: Theory and Practice
1L.R. Quarles Professor of Systems & Information Engineering, and of Civil & Environmental Engineering, Founding Director (1987), Center for Risk Management of Engineering Systems.
Summary
Current risk analysis models fail for complex systems of systems (SoS). Understanding shared states and interdependencies is key to developing effective risk assessment frameworks for emergent SoS.
Area of Science:
- Systems Engineering
- Risk Management
- Complexity Science
Background:
- Modern systems of systems (SoS) exhibit emergent complexity.
- Existing risk analysis models are inadequate for SoS due to their focus on single systems.
- These models overlook the intricate interdependencies and interconnectedness (I-I) inherent in SoS.
Purpose of the Study:
- To reevaluate risk analysis methodologies for complex SoS.
- To comprehend the unique complexities of emergent SoS.
- To develop a novel framework for modeling SoS risk.
Main Methods:
- Building upon state-space theory.
- Developing a theoretical and analytical framework for SoS risk modeling.
- Conducting case studies with the MITRE Corporation.
Main Results:
- Shared states and essential entities are pivotal in modeling SoS risk.
- Demonstrated the contribution of shared states to risk analysis in complex SoS.
- Highlighted the need to harmonize risk analysis for SoS with single-system approaches.
Conclusions:
- A new framework based on state-space theory enhances SoS risk modeling.
- Understanding interdependencies and shared states is crucial for SoS risk assessment.
- Harmonizing risk analysis across different system complexities is essential.
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