Consensus Building: Process Design Toward Finding a Shared Recognition of Common Goal Beyond Conflicts

Ohnuma, Susumu

doi:10.1007/978-981-15-0720-5_68

Cited by 3 publications

(2 citation statements)

References 27 publications

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“…Carney et al argued that when there is a common purpose between the constituent systems in a SoS, the closer each system is to that purpose and the greater the SoS's ability to adapt to change [3]. When members of an organization share a common purpose, they are more motivated to seek consensus and, thus, collaborate and cooperate more effectively [36].…”

Section: Establishing Common Goalsmentioning

confidence: 99%

“…Furthermore, Sindiy and DeLaurentis et al modeled a distributed SoS and used an SoS to define timevarying performance metrics and an agent-based model to simulate the evolution of these architectures [43], while Nikolic and Dijkema used ABM techniques to model industrial and infrastructural development in seaport areas, combining the feedback of knowledge processes with SoS evolution simulation [44]. While ABMs are beginning to be used for SoSrelated research, there have been few efforts to improve SoS theory-related aspects [36]. The use of ABM to test SoS theory in this paper represents a continued expansion of this field.…”

Section: Agent-based Modelingmentioning

confidence: 99%

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Effective Evolutionary Principles for System-of-Systems: Insights from Agent-Based Modeling in Vehicular Networks

Liu,

Zhang

2024

Systems

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System-of-systems (SoS) evolution is a complex and unpredictable process. Although various principles to facilitate collaborative SoS evolution have been proposed, there is a lack of experimental data validating their effectiveness. To address these issues, we present an Agent-Based Model (ABM) for SoS evolution in the Internet of Vehicles (IoV), serving as a quantitative analysis tool for SoS research. By integrating multiple complex and rational behaviors of individuals, we aim to simulate real-world scenarios as accurately as possible. To simulate the SoS evolution process, our model employs multiple agents with autonomous interactions and incorporates external environmental variables. Furthermore, we propose three evaluation metrics: evolutionary time, degree of variation, and evolutionary cost, to assess the performance of SoS evolution. Our study demonstrates that enhanced information transparency significantly improves the evolutionary performance of distributed SoS. Conversely, the adoption of uniform standards only brings limited performance enhancement to distributed SoSs. Although our proposed model has limitations, it stands out from other approaches that utilize Agent-Based Modeling to analyze SoS theories. Our model focuses on realistic problem contexts and simulates realistic interaction behaviors. This study enhances the comprehension of SoS evolution processes and provides valuable insights for the formulation of effective evolutionary strategies.

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Section: Establishing Common Goalsmentioning

confidence: 99%

Section: Agent-based Modelingmentioning

confidence: 99%

Effective Evolutionary Principles for System-of-Systems: Insights from Agent-Based Modeling in Vehicular Networks

Liu,

Zhang

2024

Systems

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Effective Evolutionary Principles for System-of-Systems: Insights from Agent-Based Modeling in Vehicular Networks

Liu,

Zhang

2024

Preprint

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System-of-systems (SoS) evolution is a complex and unpredictable process. Although various principles to facilitate collaborative SoS evolution have been proposed, there is a lack of experimental data validating their effectiveness. To address these issues, we present an Agent-Based Model (ABM) for SoS evolution in the Internet of Vehicles (IoV) , serving as a quantitative analysis tool for SoS research. By integrating multiple complex and rational behaviors of individuals, we aim to simulate real-world scenarios as accurately as possible. To simulate the SoS evolution process, our model employs multiple agents with autonomous interactions and incorporates external environmental variables. Furthermore, we propose three evaluation metrics: evolutionary time, degree of variation, and evolutionary cost, to assess the performance of SoS evolution. Our study demonstrates that enhanced information transparency significantly improves the evolutionary performance of distributed SoS. Conversely, the adoption of uniform standards only brings limited performance enhancement to distributed SoSs. Although our proposed model has limitations, it stands out from other approaches that utilize Agent-Based Modeling to analyze SoS theories. Our model focuses on realistic problem contexts and simulates realistic interaction behaviors. This study enhances the comprehension of SoS evolution processes and provides valuable insights for the formulation of effective evolutionary strategies.

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最不遇者情報が集団決定に与える効果

Souma,

Nakazawa,

Tatsumi

et al. 2024

The Japanese journal of psychology

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This study aimed to demonstrate the effects of the provided information on the consequences of group decisions in the case of the treatment of decontaminated soil outside Fukushima. Citizens are expected to make decisions in light of the plural common goods in public deliberations, where objective information should be given while the information taking specific people's sides should not. The criteria of common good are diverse such as utilitarianism, the equality principle, and the maximin principle. However, if the information about the least advantaged people is not presented, it may be difficult to make decisions considering them. We conducted a group discussion experiment manipulating the provided information about Fukushima residents. The results revealed that participants in the informed condition evaluated the consequences considering Fukushima residents more than in the not-informed condition.

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Consensus Building: Process Design Toward Finding a Shared Recognition of Common Goal Beyond Conflicts

Cited by 3 publications

References 27 publications

Effective Evolutionary Principles for System-of-Systems: Insights from Agent-Based Modeling in Vehicular Networks

Effective Evolutionary Principles for System-of-Systems: Insights from Agent-Based Modeling in Vehicular Networks

Effective Evolutionary Principles for System-of-Systems: Insights from Agent-Based Modeling in Vehicular Networks

最不遇者情報が集団決定に与える効果

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