Induced Emergence in Computational Social Systems Engineering: Multimodels and Dynamic Couplings as Methodological Basis

Ören, Tuncer I.; Mittal, Saurabh; Durak, Umut

doi:10.1002/9781119378952.ch9

“…It seems clear that we need to get a better handle on the whole SoS life-cycle with a more deliberate combined MBSE/DEVS approach. This will help us focus on the problem and better understand the five attributes of SoS [47] that underlie and interact to induce emergence in a formally defined system with explicit coupling information [48].…”

Section: Include Pervasive Incremental Automated Learningmentioning

confidence: 99%

MBSE with/out Simulation: State of the Art and Way Forward

Zeigler

¹

,

Mittal

²

,

Traoré

³

2018

Systems

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The limitations of model-based support for engineering complex systems include limited capability to develop multifaceted models as well as their analysis with robust reliable simulation engines. Lack of such Modeling and Simulation (M&S) infrastructure leads to knowledge gaps in engineering such complex systems and these gaps appear as epistemological emergent behaviors. In response, an initiative is underway to bring Model-Based Systems Engineering (MBSE) closer together with model-based simulation developments. M&S represents a core capability and is needed to address today’s complex, adaptive, systems of systems engineering challenges. This paper considers the problems raised by MBSE taken as a modeling activity without the support of full strength integrated simulation capability and the potential for, and possible forms of, closer integration between the two streams. An example of a system engineering application, an unmanned vehicle fleet providing emergency ambulance service, is examined as an application of the kind of multifaceted M&S methodology required to effectively deal with such systems.

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“…[8] and for engineering [9]. A recent article clarified the benefits of a shift from model-based to simulationbased paradigm [10]. In this article, the benefits of the shift of paradigm from model-based to simulation-based approach are elaborated on.…”

Section: Simulation-based Approachmentioning

confidence: 99%

On the Advantages of Simulation based Approach in Engineering

Ören

¹

2018

COJEC

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1

0

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“…[8] and for engineering [9]. A recent article clarified the benefits of a shift from model-based to simulationbased paradigm [10]. In this article, the benefits of the shift of paradigm from model-based to simulation-based approach are elaborated on.…”

Section: Simulation-based Approachmentioning

confidence: 99%