The Role of Competition and Collaboration in Influencing the Level of Autonomy and Belonging in System of Systems

Darabi, Hamid; Mansouri, Mo

doi:10.1109/jsyst.2013.2256972

Cited by 20 publications

(3 citation statements)

References 35 publications

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“…As mentioned previously, the existing definition of SoS types is based on the degree of authority [10,11], and SoS development requires the guidance of SoS types [8]. SoS development prioritizes achieving SoS goals and then satisfies CS goals as much as possible [27]. Thus, we argue that the ultimate purpose of SoS authority is to achieve SoS goals, and there is a relationship between the degree of authority and both SoS goals and CS goals.…”

Section: Introductionmentioning

confidence: 80%

A goal-based approach for modeling and simulation of different types of system-of-systems

Feng

Zhou²,

Zou

et al. 2023

J. of Syst. Eng. Electron.

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A system of systems (SoS) composes a set of independent constituent systems (CSs), where the degree of authority to control the independence of CSs varies, depending on different SoS types. Key researchers describe four SoS types with descending levels of central authority: directed, acknowledged, collaborative and virtual. Although the definitions have been recognized in SoS engineering, what is challenging is the difficulty of translating these definitions into models and simulation environments. Thus, we provide a goal-based method including a mathematical baseline to translate these definitions into more effective agent-based modeling and simulations. First, we construct the theoretical models of CS and SoS. Based on the theoretical models, we analyze the degree of authority influenced by SoS characteristics. Next, we propose a definition of SoS types by quantitatively explaining the degree of authority. Finally, we recognize the differences between acknowledged SoS and collaborative SoS using a migrating waterfowl flock by an agentbased model (ABM) simulation. This paper contributes to the SoS body of knowledge by increasing our understanding of the degree of authority in an SoS, so we may identify suitable SoS types to achieve SoS goals by modeling and simulation.

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Section: Introductionmentioning

confidence: 80%

A goal-based approach for modeling and simulation of different types of system-of-systems

Feng

Zhou²,

Zou

et al. 2023

J. of Syst. Eng. Electron.

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“…The emphasis of work in systems of systems engineering is how to overcome the interoperability challenges among technological systems that result from this independence. Examples would include Darabi and Mansouri [] who consider the balance between autonomy and belonging as well as Dickerson [] who applies a model‐driven framework to identify overlaps and inconsistencies among constituent systems.…”

Section: Enterprises As Systemsmentioning

confidence: 99%

The Epistemology of Enterprises

Pennock

Rouse

2016

Systems Engineering

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Enterprises are essential to the sustainment of our modern society. However, they rarely receive the level of attention and rigor that technical systems do. Treating enterprises as systems is a promising approach, but enterprises depend on a substantial social component. The inherent complexity of social systems introduces epistemic limitations that inhibit our ability to model social systems and predict their behavior. Consequently, traditional engineering approaches that rely on prediction and control can be ineffective or misleading when applied to enterprises. In this paper we explore the implications of these epistemic limitations on the engineering of enterprises. We conclude that it is necessary to apply dynamic strategies to mitigate these limitations and adapt enterprise modeling efforts accordingly. The goal with enterprises, in contrast to traditional technical systems, is to influence rather than control. We outline an interdisciplinary research agenda to progress toward this goal. C⃝

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“…A web‐based collaborative system is proposed in Huynh et al [2011] to facilitate collaboration among individual system programs in SoS acquisition. Competition and collaboration in SoS of swarm robots are modeled using multiattribute utility theory [Darabi and Mansouri, ] to study autonomy and belonging attributes of SoS. A mechanism design based on combinatorial auction problem is outlined in Davendralingam and Kenley [] to determine the optimal set of interaction rules between SoS and individual systems within a SoS acquisition context.…”

Section: Contracting and Negotiationmentioning

confidence: 99%

Incentive‐Based Negotiation Model for System of Systems Acquisition

Kilicay‐Ergin

Dağli

2015

Systems Engineering

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Lack of collaboration between individual systems and system of systems (SoS) program management is identified as one of the leading problems in SoS acquisition. This is especially a major concern in acknowledged SoS where a designated SoS program management has no authority over the constituent systems. Therefore, it is important to consider mechanisms to persuade individual systems to participate in the SoS development. In SoS where individual systems have their own self-interests, negotiation becomes an important mechanism to increase participation in SoS development. Another mechanism, incentives, is used in a wide range of applications to improve performance and collaboration. In this paper, an incentive based negotiation model is outlined as a mechanism to increase participation of individual systems into the SoS development. The negotiation model is integrated into an SoS Engineering and Architecting multilevel model referred to as Flexible & Intelligent Learning Architectures for SoS (FILA-SoS). Various aspects of SoS acquisition are modeled in the FILA-SoS including SoS metaarchitecture generation, evaluation as well as negotiation between SoS and individual systems. Individual systems exhibit behaviors, ranging from selfish to cooperative. The negotiation model is demonstrated on an SoS engineering application: Intelligence, Surveillance, and Reconnaissance (ISR) SoS acquisition case where a desired meta-architecture is selected for negotiation, and incentives are determined for systems based on deviation from the desired meta-architecture quality. The analyses of the results from this application domain provide insights into how incentives can be used by decision makers to increase participation in SoS engineering and development. C⃝ 2015 Wiley Periodicals, Inc. Syst Eng 18: 310-321, 2015

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The Role of Competition and Collaboration in Influencing the Level of Autonomy and Belonging in System of Systems

Cited by 20 publications

References 35 publications

A goal-based approach for modeling and simulation of different types of system-of-systems

A goal-based approach for modeling and simulation of different types of system-of-systems

The Epistemology of Enterprises

Incentive‐Based Negotiation Model for System of Systems Acquisition

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