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Statistical analysis and modeling of residential buildings for artificial Beijing reconstruction

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International Journal of Modeling, Simulation, and Scientific Computing 2016年第2期7卷 63-74页

作者： Zhi-Chao Song Rong-Qing Meng Hong Duan Xiao-Gang Qiu College of Information System and Management National University of Defense Technology Changsha Hunan 410073P.R.China

Environment model is an important component of an artificial *** level up the resolution of residence-building environment models in artificial Beijing,we divide residential buildings in Beijing into two categories,which are noncommunity residential buildings and community residential buildings,and statistically analyze the numbers of floors and areas of the real residential *** this paper,we have exhibited the distribution of numbers of floors in noncommunity residential buildings and community residential ***,we analyze the distribution of areas of noncommunity residential buildings and residence-use proportions of community zones by Nonlinear *** indicate that areas of noncommunity residential buildings in Beijing obey the log-normal distribution and residence-use proportions of community zones obey normal *** to the statistical models,the virtual residential buildings in artificial Beijing can be endowed with rational attribute values.

关键词： Data-driven modeling artificial society environment modeling residential buildings

A VIRTUAL FIELD-BASED CONCEPTUAL FRAMEWORK FOR THE SIMULATION OF COMPLEX SOCIAL SYSTEMS

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Journal of Systems Science & Complexity 2010年第2期23卷 232-248页

作者： Darius PLIKYNAS Research Center at Academy of Business and Management

This highly interdisciplinary research paper discusses some new insights into the fundamentalproperties of information-rich social *** mainly focuses on:i)Postulating the generalproperties of an information-based networking economy;ii)Modeling emergent and self-organizing featuresof social networks;iii)Discussing how to simulate complex social systems using a field-basedapproach and multi-agent ***,this paper gives some ideas of how to construct avirtual field-based communications network of intelligent agents using currently available computationalintelligence methods.A new simulation paradigm offers some useful concepts to transform multidimensionalfactor space(representing a multiplicity of phenomenal forms and interactions)into the mostuniversal spectral coding *** paper gives some ideas of how not only the communicationmechanism but also the social agents can be simulated as oscillating processes.

关键词： artificial society evolutionary dynamics self-organizing systems virtual computational field.

Simulation of COVID-19 Outbreak in Nanjing Lukou Airport Based on Complex Dynamical Networks

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Complex System Modeling and Simulation 2023年第1期3卷 71-82页

作者： Bin Chen Runkang Guo Zhengqiu Zhu Chuan Ai Xiaogang Qiu College of Systems Engineering National University of Defense TechnologyChangsha 410073China Hunan Institute of Advanced Technology Changsha 410073China

The Corona Virus Disease 2019(COVID-19)pandemic is still imposing a devastating impact on public health,the economy,and *** the development of epidemics and exploring the effects of various mitigation strategies have been a research focus in recent ***,the spread simulation of COVID-19 in the dynamic social system is relatively *** address this issue,considering the outbreak of COVID-19 at Nanjing Lukou Airport in 2021,we constructed an artificial society of Nanjing Lukou Airport based on the artificial societies,Computational experiments,and Parallel execution(ACP)***,the artificial society includes an environmental model,population model,contact networks model,disease spread model,and intervention strategy *** reveal the dynamic variation of individuals in the airport,we first modeled the movement of passengers and designed an algorithm to generate the moving ***,the mobile contact networks were constructed and aggregated with the static networks of staff and ***,the complex dynamical network of contacts between individuals was *** on the artificial society,we conducted large-scale computational experiments to study the spread characteristics of COVID-19 in an airport and to investigate the effects of different intervention *** from the reproduction of the outbreak,it is found that the increase in cumulative incidence exhibits a linear growth mode,different from that(an exponential growth mode)in a static *** terms of mitigation measures,promoting unmanned security checks and boarding in an airport is recommended,as to reduce contact behaviors between individuals and staff.

关键词： Corona Virus Disease 2019(COVID-19) intervention strategy complex dynamical networks artificial society

Multi-Agent Based Stochastic Dynamical Model to Measure Community Resilience

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Journal of Social Computing 2022年第3期3卷 262-286页

作者： Jaber Valinejad Lamine Mili C.Natalie Van Der Wal Data and System Science Lab Harvard Medical SchoolHarvard UniversityCambridgeMA 02138USA Bradley Department of Electrical and Computer Engineering Virginia TechNorthern Virginia CenterFalls ChurchVA 22043USA Department of Multi-Actor Systems Faculty of TechnologyPolicy and ManagementDelft University of TechnologyDelft2600 AAthe Netherlands.

Emergency services and utilities need appropriate planning tools to analyze and improve infrastructure and community resilience to *** as a key metric of community resilience is the social well-being of a community during a disaster,which is made up of mental and physical social *** factors influencing community resilience directly or indirectly are emotional health,emergency services,and the availability of critical infrastructures services,such as food,agriculture,water,transportation,electric power,and communications *** turns out that in computational social science literature dealing with community resilience,the role of these critical infrastructures along with some important social characteristics is not *** address these weaknesses,we develop a new multi-agent based stochastic dynamical model,standardized by overview,design concepts,details,and decision(ODD+D)protocol and derived from neuro-science,psychological and social sciences,to measure community resilience in terms of mental and physical *** this model,we analyze the micro-macro level dependence between the emergency services and power systems and social characteristics such as fear,risk perception,informationseeking behaviour,cooperation,flexibility,empathy,and experience,in an artificial ***,we simulate this model in two case studies and show that a high level of flexibility,experience,and cooperation enhances community *** for both theory and practice are discussed.

关键词： community resilience collective behavior emergency services power systems critical infrastructures artificial society overview,design concepts,details,and decision(ODD+D) cyber-physical-social system

A Simple Game for the Study of Trust in Distributed Systems

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Wuhan University Journal of Natural Sciences 2001年第Z1期6卷 72-82页

作者： Biography: Zoe Zoe Diamadi, Michael J. Fischer Department of Computer Science, Yale University, New Haven CT 06520 8285,USA Department of Computer Science Yale University New Haven USA

Trust is an important aspect of the design and analysis of secure distributed systems. It is often used informally to designate those portions of a system that must function correctly in order to achieve the desired outcome. But it is a notoriously diffcult notion to formalize. What are the properties of trust? How is it learned, propagated, and utilized successfully? How can it be modeled? How can a trust model be used to derive protocols that are effcient and reliable when employed in today's expansive networks? Past work has been concerned with only a few of these issues, without concentrating on the need for a comprehensive approach to trust modeling. In this paper, we take a first step in that direction by studying an artificial community of agents that uses a notion of trust to succeed in a game against nature. The model is simple enough to analyze and simulate, but also rich enough to exhibit phenomena of real life interactive communities. The model requires agents to make decisions. To do well, the agents are informed by knowledge gained from their own past experience as well as from the experience of other agents. Communication among agents allows knowledge to propagate faster through the network, which in turn can allow for a more successful community. We analyze the model from both a theoretical and an experimental point of view.

关键词： agent algorithm artificial society trust

基于人工社会模型的退田还湖生态补偿机制实例研究

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