scholarly journals Understanding System of Systems Development Using an Agent- Based Wave Model

2012 ◽  
Vol 12 ◽  
pp. 21-30 ◽  
Author(s):  
Paulette Acheson ◽  
Louis Pape ◽  
Cihan Dagli ◽  
Nil Kilicay-Ergin ◽  
John Columbi ◽  
...  
Keyword(s):  
Wave Model ◽  
Systems Development ◽  
System Of Systems ◽  
Agent Based

Capability Based Weapon System-of-Systems Evaluation Strategies Design Space and Exploratory Analysis

2014 ◽  
Vol 527 ◽  
pp. 306-310
Author(s):  
Zhi Fei Li ◽  
Zi Mo Li ◽  
Feng Yang ◽  
Yi Fan Zhu
Keyword(s):  
Design Space ◽  
Early Period ◽  
System Of Systems ◽  
Exploratory Analysis ◽  
Fractional Factorial ◽  
Weapon System ◽  
Agent Based ◽  
Simulation Tools ◽  
Evaluation Strategies ◽  
Equipment Acquisition

It is an urgently problem to be solved that how to test a weapon system-of-systems capabilities in a joint operational context. Firstly, based on the capability assessment of weapon system-of-systems, a procedure of weapon system-of-systems capabilities evaluation strategies design space is proposed. Secondly, supported by agent-based simulation tools, an exploratory analysis example is given which uses the fractional factorial design and stepwise regression fit. This paper makes a better try on the measures selected of the system-of-systems capabilities in the early period of weapon equipment acquisition.

Using Agent Technology for Company Knowledge Management

2011 ◽  
pp. 1862-1879
Author(s):  
Victoria Yoon ◽  
Barbara Broome ◽  
Rahul Singh ◽  
Tor Guimaraes
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
System Approach ◽  
Systems Development ◽  
Decision Processes ◽  
Agent Technology ◽  
Agent Based ◽  
Complex Decision ◽  
A Company ◽  
Practical Implications

Emerging agent-based systems offer a new means of effectively managing knowledge to address complex decision processes, thereby enabling solutions to many real problems that have heretofore appeared intractable. This article presents an overview of expert system and agent technologies, and shows the latter as a powerful extension of artificial intelligence for systems development. To illustrate, a system developed first using an expert system approach and then an agent-based approach is used to identify the strengths and weaknesses of the agent-based approach. Last, the practical implications of a company adoption of agent-based technology for systems development are addressed.

Modeling and Simulation of Ship System-of-Systems With Wireless Network Inserted for On-Ship Communications

2006 ◽  
Author(s):  
Vishal Mahulkar ◽  
Douglas Adams ◽  
Alok Chaturvedi ◽  
Longbi Lin ◽  
Ness Shroff
Keyword(s):  
Simulation Model ◽  
Power Distribution ◽  
Data Transfer ◽  
New Technology ◽  
Relative Effectiveness ◽  
Access Point ◽  
System Of Systems ◽  
Network Access ◽  
Network Nodes ◽  
Agent Based

The objective of the research is to develop an agent based methodology for modeling a naval ship environment as a system-of-systems. A ship environment consists of complex interconnected systems such as the infrastructure, crew, and the work flow, which poses a challenge to capability and systems planning. By studying the real-time interactions between these systems, one can help make decisions about new technology to be inserted on a ship. A simulation model based on an agent-based modeling methodology is constructed in MATLAB along with a graphical user interface to simulate workflow scenarios for maintenance, troubleshooting, and watch duties described in predefined XML files in a zone of the ship. The environment consists of crew agents modeled with limited intelligence and behavioural traits, machinery with sensors, equipment consuming power, mobile and stationary network nodes and models for data transfer over the network, crew mobility, power distribution and trimming. Results demonstrate the robustness of powering network nodes over Ethernet. One key result of the simulation model demonstrates the relative effectiveness of network access point locations; a counter intuitive decrease in workflow efficiency occurs due to a new technology inserted to enable wireless access.

Agent-Based Modeling the Emergent Behavior of A System-of-Systems

2009 ◽  
Vol 19 (1) ◽  
pp. 1581-1590 ◽  
Author(s):  
John C. Hsu ◽  
John R. Clymer ◽  
Jose Garcia ◽  
Efrain Gonzalez
Keyword(s):  
System Of Systems ◽  
Agent Based Modeling ◽  
Emergent Behavior ◽  
Agent Based

Multilevel Agent-Based Modeling of System of Systems

2017 ◽  
Vol 11 (4) ◽  
pp. 2084-2095 ◽  
Author(s):  
Jean-Baptiste Soyez ◽  
Gildas Morvan ◽  
Rochdi Merzouki ◽  
Daniel Dupont
Keyword(s):  
System Of Systems ◽  
Agent Based Modeling ◽  
Agent Based

scholarly journals Fuzzy Optimization of Acknowledged System of Systems Meta-architectures for Agent based Modeling of Development

2014 ◽  
Vol 28 ◽  
pp. 404-411 ◽  
Author(s):  
Louis Pape ◽  
Siddhartha Agarwal ◽  
Kristin Giammarco ◽  
Cihan Dagli
Keyword(s):  
Fuzzy Optimization ◽  
System Of Systems ◽  
Agent Based Modeling ◽  
Agent Based

Reasons for bottlenecks in very large-scale system of systems development

2014 ◽  
Vol 56 (10) ◽  
pp. 1403-1420 ◽  
Author(s):  
Kai Petersen ◽  
Mahvish Khurum ◽  
Lefteris Angelis
Keyword(s):  
Large Scale ◽  
Systems Development ◽  
System Of Systems ◽  
Large Scale System

scholarly journals Multiple Epidemic Wave Model of the COVID-19 Pandemic: Modeling Study

10.2196/20912 ◽  
2020 ◽  
Vol 22 (7) ◽  
pp. e20912 ◽  
Author(s):  
Efthimios Kaxiras ◽  
Georgios Neofotistos
Keyword(s):  
Wave Model ◽  
Disease Spread ◽  
Multiple Wave ◽  
Agent Based ◽  
Future Evolution ◽  
Response Index ◽  
Infected Population ◽  
Intervention Measures ◽  
Agent Based Simulations ◽  
Pandemic Response

Background Intervention measures have been implemented around the world to mitigate the spread of the coronavirus disease (COVID-19) pandemic. Understanding the dynamics of the disease spread and the effectiveness of the interventions is essential in predicting its future evolution. Objective The aim of this study is to simulate the effect of different social distancing interventions and investigate whether their timing and stringency can lead to multiple waves (subepidemics), which can provide a better fit to the wavy behavior observed in the infected population curve in the majority of countries. Methods We have designed and run agent-based simulations and a multiple wave model to fit the infected population data for many countries. We have also developed a novel Pandemic Response Index to provide a quantitative and objective way of ranking countries according to their COVID-19 response performance. Results We have analyzed data from 18 countries based on the multiple wave (subepidemics) hypothesis and present the relevant parameters. Multiple waves have been identified and were found to describe the data better. The effectiveness of intervention measures can be inferred by the peak intensities of the waves. Countries imposing fast and stringent interventions exhibit multiple waves with declining peak intensities. This result strongly corroborated with agent-based simulations outcomes. We also provided an estimate of how much lower the number of infections could have been if early and strict intervention measures had been taken to stop the spread at the first wave, as actually happened for a handful of countries. A novel index, the Pandemic Response Index, was constructed, and based on the model’s results, an index value was assigned to each country, quantifying in an objective manner the country’s response to the pandemic. Conclusions Our results support the hypothesis that the COVID-19 pandemic can be successfully modeled as a series of epidemic waves (subepidemics) and that it is possible to infer to what extent the imposition of early intervention measures can slow the spread of the disease.

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