scholarly journals Joint force of individual, hospital, government: Simulation of the spread of 2019 novel coronavirus by multi-agents complex adaptive system

2020 ◽  
Author(s):  
Weiqiong Zhong ◽  
Tianxiu Wang
Keyword(s):  
Adaptive System ◽  
Complex Adaptive System ◽  
Joint Force ◽  
Public Health Emergencies ◽  
Complex Adaptive ◽  
The Usa ◽  
Novel Coronavirus ◽  
The Impact ◽  
Individual Hospital ◽  
Multi Agents

Abstract Early forecasting is important for health officials and decision-makers to respond to public health emergencies such as the 2019 novel coronavirus (COVID-19) outbreak. The spread of epidemic is mainly impacted by the interaction among agents, i.e., individual, hospital and government. In an effort to efficiently mitigate the impact of the virus, this original study designed a multi-agents complex adaptive system model of COVID-19 to detect the trend of the spread in 8 countries by simulating the adaptation and interaction among the agents. The results show that there should be 127,726 infections in China, 12,000 in South Korea, 729,377 in the USA, 176,623 in Italy, 194,359 in Spain, 165,122 in Germany, 177,462 in France and 149,540 in UK. It is impossible to screen and report all the cases, and the detection rate may be 82% in Italy, 65% in China, 55% in the USA, and 41% in UK on April 8, 2020. Scenario simulation results imply that action time is the most important factor in containing the spread of epidemic. If China had locked down Wuhan city five days later, the total infection would be tripled. The forces of individual, hospital and government should be united in fighting the virus.

Advancing the understanding of pharmaceutical supply chain resilience using complex adaptive system (CAS) theory

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Emilia Vann Yaroson ◽  
Liz Breen ◽  
Jiachen Hou ◽  
Julie Sowter
Keyword(s):  
Supply Chain ◽  
Adaptive System ◽  
Complex Adaptive System ◽  
Negative Impact ◽  
Exploratory Research ◽  
Structured Interviews ◽  
Pharmaceutical Supply Chain ◽  
Content Type ◽  
Complex Adaptive ◽  
The Impact

Purpose The purpose of this study was to advance the knowledge of pharmaceutical supply chain (PSC) resilience using complex adaptive system theory (CAS). Design/methodology/approach An exploratory research design, which adopted a qualitative approach was used to achieve the study’s research objective. Qualitative data were gathered through 23 semi-structured interviews with key supply chain actors across the PSC in the UK. Findings The findings demonstrate that CAS, as a theory, provides a systemic approach to understanding PSC resilience by taking into consideration the various elements (environment, PSC characteristics, vulnerabilities and resilience strategies) that make up the entire system. It also provides explanations for key findings, such as the impact of power, conflict and complexity in the PSC, which are influenced by the interactions between supply chain actors and as such increase its susceptibility to the negative impact of disruption. Furthermore, the antecedents for building resilience strategies were the outcome of the decision-making process referred to as co-evolution from a CAS perspective. Originality/value Based on the data collected, the study was able to reflect on the relationships, interactions and interfaces between actors in the PSC using the CAS theory, which supports the proposition that resilience strategies can be adopted by supply chain actors to enhance this service supply chain. This is a novel empirical study of resilience across multiple levels of the PSC and as such adds valuable new knowledge about the phenomenon and the use of CAS theory as a vehicle for exploration and knowledge construction in other supply chains.

Research on the Complex Adaptive Model of Learning Organizational Change

2011 ◽  
Vol 460-461 ◽  
pp. 261-267
Author(s):  
Ying Peng ◽  
Jin Ling Hou ◽  
Jing Wang
Keyword(s):  
Organizational Change ◽  
Learning Organization ◽  
Leadership Style ◽  
Adaptive System ◽  
Complex Adaptive System ◽  
Adaptive Model ◽  
Constant Change ◽  
Complex Adaptive ◽  
Organizational Mode ◽  
The Impact

Since the 90s of last century, learning organization as a new organizational mode is highly prized by the management scholars all over the world. It is considered as a new trend and an ideal mode of the global organizational management in the knowledge economy era. In consideration of learning organizations with attributes of complex system, the theory of complex adaptive system provides a possible route on methodology for the study of its organizational change. This paper starts from the view of complex adaptive system theory, analyzes the initiative, adaptability of the learning organization and its interaction with the environment. It assumes that with the constant change of the performance parameters, functions and attributes of the organization, the entire organization mode and the structure will also change. Furthermore by constructing a complex adaptive model of learning organization, this paper elaborates the organizational change process, and extracts the information communication, organizational mood, leadership style and organizational knowledge as the impact indicators. The conclusion of this research has some significance as reference for those who try to improve the level of the adaptability of organizations in the various changing environment.

The Simulation Study Based on Multi-Agents of Mobile Market

2010 ◽  
Vol 143-144 ◽  
pp. 433-438 ◽  
Author(s):  
Wen Zheng ◽  
Xia Jin ◽  
Bo Zhang
Keyword(s):  
Simulation Study ◽  
Mobile Communication ◽  
Adaptive System ◽  
Complex Adaptive System ◽  
Mobile Telecommunication ◽  
Middle Stage ◽  
Telecommunication Market ◽  
Complex Adaptive ◽  
Mobile Market ◽  
Multi Agents

The holistic simulation study is based on multi-agents to stimulate the behavior of mobile communication. The paper intents to understand the effect of the regulation on the market of mobile communication on the methodology of complex adaptive system simulation in swarm platform. The simulation was on the condition of mimic surrounding. The simulation program includes four classes of Swarm objectives. Results reveal that reasonable, ordered and co-coordinated communication market is on the state of the regulatory of duopoly. Based on the multiple agents modeling on the platform of swarm software, we engendered an artificial mimic mobile market to imitate the mobile telecommunication market. The effect of regulatory rules can be adjusted as the time going by. The best effect appeared at the middle stage of the policy in practice.

Applying Multi-Agent Approach for the Disaster Rescue Process

2013 ◽  
Vol 307 ◽  
pp. 498-501
Author(s):  
Feng Jiang ◽  
Liang Tu Song
Keyword(s):  
Adaptive System ◽  
Complex Adaptive System ◽  
Research Topic ◽  
Important Research ◽  
Agent Model ◽  
Important Research Topic ◽  
Complex Adaptive ◽  
Multi Agent ◽  
Full Analysis ◽  
The Impact

In the disaster rescue process, how to reduce disaster losses as far as possible has become an important research topic. Based on MAS and complex adaptive system theory, this paper constructs a multi-agent model which contains rescue agents and victim agents. Through the full analysis of behaviors and influencing factors during the process, this model includes judgments of the rescue members, behaviors among victims and the impact of relief supplies.

Hybridität als Motor und als Ergebnis von Sprachwandel

Glottotheory ◽  
2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Csaba Földes
Keyword(s):  
Language Development ◽  
Cultural Production ◽  
Language Change ◽  
Adaptive System ◽  
Complex Adaptive System ◽  
Explanatory Variable ◽  
Essential Factor ◽  
Language Functions ◽  
Complex Adaptive ◽  
Linguistic Innovation

AbstractThis paper deals with constellations in which, as consequences of linguistic interculturality, elements of two or more languages encounter each other and result in something partially or completely new, an – occasionally temporary – “third quality”, namely hybridity. The paper contributes to the meta-discourse and theory formation by questioning the concept, term and content of “linguistic hybridity”. It also submits a proposal for a typology of linguistic-communicative hybridity that consists of the following prototypical main groups, each with several subtypes: (1) language-cultural, (2) semiotic, (3) medial, (4) communicative, (5) systematic, (6) paraverbal and (7) nonverbal hybridity. At last, the paper examines hybridity as an explanatory variable for language change. In conclusion, hybridity is generally a place of cultural production, with special regard to communication and language it is potentially considered as an incubator of linguistic innovation. Hybridity can be seen as the engine and as the result of language change, or language development. It represents an essential factor by which language functions and develops as a complex adaptive system. Hybridity operates as a continuous cycle. By generating innovation, it triggers language change, which in turn, leads to further and new hybridizations. The processuality of hybridity creates diversity, while at the same time it can cause the vanishing of diversity.

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