A Model-Based Approach to Investigate Emergent Behaviors in Systems of Systems

2018 ◽  
pp. 389-458
Author(s):  
John J. Quartuccio ◽  
Kristin M. Giammarco
Sensors ◽  
2020 ◽  
Vol 20 (22) ◽  
pp. 6672
Author(s):  
Rob Bemthuis ◽  
Maria-Eugenia Iacob ◽  
Paul Havinga

The sooner disruptive emergent behaviors are detected, the sooner preventive measures can be taken to ensure the resilience of business processes execution. Therefore, organizations need to prepare for emergent behaviors by embedding corrective control mechanisms, which help coordinate organization-wide behavior (and goals) with the behavior of local autonomous entities. Ongoing technological advances, brought by the Industry 4.0 and cyber-physical systems of systems paradigms, can support integration within complex enterprises, such as supply chains. In this paper, we propose a reference enterprise architecture for the detection and monitoring of emergent behaviors in enterprises. We focus on addressing the need for an adequate reaction to disruptions. Based on a systematic review of the literature on the topic of current architectural designs for understanding emergent behaviors, we distill architectural requirements. Our architecture is a hybrid as it combines distributed autonomous business logic (expressed in terms of simple business rules) and some central control mechanisms. We exemplify the instantiation and use of this architecture by means of a proof-of-concept implementation, using a multimodal logistics case study. The obtained results provide a basis for achieving supply chain resilience “by design”, i.e., through the design of coordination mechanisms that are well equipped to absorb and compensate for the effects of emergent disruptive behaviors.


2011 ◽  
Vol 2011 ◽  
pp. 1-21 ◽  
Author(s):  
Yu Wu ◽  
Jie Su ◽  
Hong Tang ◽  
Huaglory Tianfield

Emergent behaviors of collective intelligence systems, exemplified by swarm model, have attracted broad interests in recent years. However, current research mostly stops at observational interpretations and qualitative descriptions of emergent phenomena and is essentially short of quantitative analysis and evaluation. In this paper, we conduct a quantitative study on the emergence of swarm model by using chaos analysis of complex dynamic systems. This helps to achieve a more exact understanding of emergent phenomena. In particular, we evaluate the emergent behaviors of swarm model quantitatively by using the chaos and stability analysis of swarm model based on largest Lyapunov exponent. It is concluded that swarm model is at the edge of chaos when emergence occurs, and whether chaotic or stable at the beginning, swarm model will converge to stability with the elapse of time along with interactions among agents.


Insight ◽  
2011 ◽  
Vol 14 (2) ◽  
pp. 18-22 ◽  
Author(s):  
Daniele Gianni ◽  
Lindman Niklas ◽  
Fuchs Joachim ◽  
Suzic Robert ◽  
Fischer Daniel

Water ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 496 ◽  
Author(s):  
Demetrios Joannou ◽  
Roy Kalawsky ◽  
Sara Saravi ◽  
Monica Rivas Casado ◽  
Guangtao Fu ◽  
...  

There is a clear and evident requirement for a conscious effort to be made towards a resilient water system-of-systems (SoS) within the UK, in terms of both supply and flooding. The impact of flooding goes beyond the immediately obvious socio-aspects of disruption, cascading and affecting a wide range of connected systems. The issues caused by flooding need to be treated in a fashion which adopts an SoS approach to evaluate the risks associated with interconnected systems and to assess resilience against flooding from various perspectives. Changes in climate result in deviations in frequency and intensity of precipitation; variations in annual patterns make planning and management for resilience more challenging. This article presents a verified model-based system engineering methodology for decision-makers in the water sector to holistically, and systematically implement resilience within the water context, specifically focusing on effects of flooding on water supply. A novel resilience viewpoint has been created which is solely focused on the resilience aspects of architecture that is presented within this paper. Systems architecture modelling forms the basis of the methodology and includes an innovative resilience viewpoint to help evaluate current SoS resilience, and to design for future resilient states. Architecting for resilience, and subsequently simulating designs, is seen as the solution to successfully ensuring system performance does not suffer, and systems continue to function at the desired levels of operability. The case study presented within this paper demonstrates the application of the SoS resilience methodology on water supply networks in times of flooding, highlighting how such a methodology can be used for approaching resilience in the water sector from an SoS perspective. The methodology highlights where resilience improvements are necessary and also provides a process where architecture solutions can be proposed and tested.


Author(s):  
Valdemar Vicente Graciano Neto ◽  
Carlos Eduardo Barros Paes ◽  
Lina Garcés ◽  
Milena Guessi ◽  
Wallace Manzano ◽  
...  

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