Agent‐Based Modeling for Systems of Systems

Mour, Ankur; Kenley, C. Robert; Davendralingam, Navindran; DeLaurentis, Daniel

doi:10.1002/j.2334-5837.2013.tb03067.x

Cited by 21 publications

(6 citation statements)

References 14 publications

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“…SoS performance is an emergent property dependent on the complex interdependencies between CS and therefore the implementation of these resilience evaluation methods has significant challenges. Modeling methodologies have been proposed for performance and/or performancebased resilience evaluation of SoS, including but not limited to Discrete Event Simulations, 23,26 Colored Petri-nets, 27,28 Agent Based Modeling, [29][30][31][32][33][34] Bayesian-Network Based Interdependency Analysis, 24 Dependency Network Analysis, 35,36 and machine learning based predictive models. 37 All of these modeling frameworks require significant details of constituent system behaviors, their interactions (i.e., the SoS architecture), and specific threat knowledge to simulate performance, during and post disruption.…”

Section: Sos Resilience Evaluation and Designmentioning

confidence: 99%

Ecology‐inspired resilient and affordable system of systems using degree of system order

Chatterjee

Malak

Layton

2021

Systems Engineering

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An optimal trade-off between resilience (the ability to survive and recover from disruptions) and affordability is highly desirable in System of Systems (SoS) architectures. However, it is difficult to design SoS architectures for these goals as existing resilience evaluation methods require detailed disruption models that are not readily available in the early stages of design. Biological ecosystems (nature's resilient SoS) achieve these goals through a unique balance of efficient and redundant interactions in their architectures-measured using the metric Degree of System Order (DoSO).This research tests if this ecological architecting principle and the DoSO metric are useful for designing resilient and affordable SoS. The resilience versus affordability tradespace of a large number of notional SoS architectures is investigated using the DoSO metric. Results indicate that the majority of Pareto optimal SoS architectures, under various disruptions, lie in the ecologically-identified favorable DoSO range. Further, SoS architectures within this DoSO range were found to have better resilience and affordability attributes, in general, than the architectures outside it. DoSO evaluation does not require knowledge of disruption scenarios and is the first network architecture metric to consider resilience versus affordability trade-offs, making it a valuable addition to the SoS engineering toolset.

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Section: Sos Resilience Evaluation and Designmentioning

confidence: 99%

Ecology‐inspired resilient and affordable system of systems using degree of system order

Chatterjee

Malak

Layton

2021

Systems Engineering

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“…Nos últimos anos, a pesquisa e o desenvolvimento de sistemas convergiu de sistemas isolados (monolíticos) para sistemas complexos compostos de múltiplos outros sistemas heterogêneos e independentes, os Sistemas-de-Sistemas (SoS). Embora ainda não exista uma definição clara de SoS, esses sistemas podem ser entendidos como uma classe de sistemas que é capaz de combinar sistemas constituintes, que são heterogêneos e independentes, e trabalham em consonância para atingir um objetivo [10,12,15] Com base nas características dos SoS apresentadas anteriormente, percebe-se que essa classe de sistemas está também inserida na classe de sistemas críticos de larga escala, pois eles são frequentemente aplicados em diversos contextos críticos tais como militar [4,7,12,14], saúde [2,19] e gestão de desastres [1,6,8,9,[15][16][17], possuem corportamentos emergentes que podem ou não ser desejados e são distribuídos em larga escala (Distribuição Geográfica).…”

Section: Referencial Teóricounclassified

PASoS: Processo para definição da arquitetura de Sistemas-de-Sistemas

Inocêncio

Gonzales

Horita

2019

Anais Do I Brazilian Workshop on Large-Scale Critical Systems (BWare 2019)

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Um Sistema-de-Sistemas (SoS) é uma classe de sistema caracterizada pela união de sistemas constituintes que são independentes no modo operacional e gerencial e que juntos desempenham novas funcionalidades. Devido as suas características de evolução e interopelabilidade, os SoS são amplamente usados em diversos contextos críticos como gestão de desastres, sistemas de cuidados com a saúde, sistemas militares e cidades inteligentes. Um processo arquitetural de SoS visa definir os stakeholders, sistemas constituintes e como eles interagem entre si e os comportamentos emergentes produzidos por essas interações. Todos esses elementos são definidos a partir de um entendimento do contexto por meio da engenharia de requisitos, descrição da arquitetura e da modelagem das visões arquiteturais do sistema. Pesquisas recentes mostraram poucos avanços no estudo de processos arquiteturais nessa classe de sistema e nesse sentido pesquisas são necessárias para atender às demandas encontradas na literatura para o projeto, análise, avaliação e evolução de arquiteturas em SoS. Com base nisso, esta pesquisa apresenta o PASoS (Processo para definição da Arquitetura de Sistemas-de-Sistemas), um processo criado para ser uma instância do meta-processo SOAR ("Meta-process for SoS Software Architectures") que visa definir por quais elementos um processo arquitetural em SoS deve ser composto. Para isso, em trabalhos futuros os elementos essenciais do SOAR (Alpha e espaços de atividades) serão generalizados em três fases do PASoS, onde em cada uma delas serão elencados sequencialmente os espaços de atividades definidos pelo SOAR que no PASoS são responsáveis por produzir os artefatos arquiteturais (Alphas do SOAR). Espera-se que essa instância de processo oriente os arquitetos de SoS na sequencia de etapas necessárias para construção da arquitetura do SoS para contextos críticos.

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“…We also recommend performing sensitivity analysis to evaluate the possible impact of errors in the evaluation of the parameters of SODA model. We validated the model through agent-based model (ABM) simulations, executed through the Discrete Agent Framework (Chow et al 2012;Mour et al 2013), and successfully applied the methodology to aerospace systems. This publication is mainly focused on the methodology, which is described in detail.…”

Section: Systems Operational Dependency Analysismentioning

confidence: 99%

Supporting design via the System Operational Dependency Analysis methodology

Guariniello

DeLaurentis

2016

Res Eng Design

Self Cite

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In this paper, we introduce the system operational dependency analysis methodology. Its purpose is to assess the effect of dependencies between components in a monolithic complex system, or between systems in a system-of-systems, and to support design decision making. We propose a parametric model of the behavior of the system. This approach results in a simple, intuitive model, whose parameters give a direct insight into the causes of observed, and possibly emergent, behavior. Using the proposed method, designers, and decision makers can quickly analyze and explore the behavior of complex systems and evaluate different architecture under various working conditions. Thus, the system operational dependency analysis method supports educated decision making both in the design and in the update process of systems architecture, without the need to execute extensive simulations. In particular, in the phase of concept generation and selection, the information given by the method can be used to identify promising architectures to be further tested and improved, while discarding architectures that do not show the required level of global features. Application of the proposed method to a small example is used to demonstrate both the validation of the parametric model, and the capabilities of the method for system analysis, design and architecture.

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Agent‐Based Modeling for Systems of Systems

Cited by 21 publications

References 14 publications

Ecology‐inspired resilient and affordable system of systems using degree of system order

Ecology‐inspired resilient and affordable system of systems using degree of system order

PASoS: Processo para definição da arquitetura de Sistemas-de-Sistemas

Supporting design via the System Operational Dependency Analysis methodology

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