KD-ACP: A Software Framework for Social Computing in Emergency Management

Mathematical Problems in Engineering ◽

10.1155/2015/915429 ◽

2015 ◽

Vol 2015 ◽

pp. 1-27 ◽

Cited By ~ 5

Author(s):

Bin Chen ◽

Laobing Zhang ◽

Gang Guo ◽

Xiaogang Qiu

Keyword(s):

Emergency Management ◽

Social Computing ◽

Parallel Execution ◽

Computational Experiments ◽

Software Framework ◽

Beijing City ◽

Artificial Society ◽

Intervention Measures ◽

Management Problems ◽

Response Decisions

This paper addresses the application of a computational theory and related techniques for studying emergency management in social computing. We propose a novel software framework called KD-ACP. The framework provides a systematic and automatic platform for scientists to study the emergency management problems in three aspects: modelling the society in emergency scenario as the artificial society; investigating the emergency management problems by the repeat computational experiments; parallel execution between artificial society and the actual society managed by the decisions from computational experiments. The software framework is composed of a series of tools. These tools are categorized into three parts corresponding to “A,” “C,” and “P,” respectively. Using H1N1 epidemic in Beijing city as the case study, the modelling and data generating of Beijing city, experiments with settings of H1N1, and intervention measures and parallel execution by situation tool are implemented by KD-ACP. The results output by the software framework shows that the emergency response decisions can be tested to find a more optimal one through the computational experiments. In the end, the advantages of the KD-ACP and the future work are summarized in the conclusion.

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Computational Experiments Applied for Space System Simulation

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.529.743 ◽

2014 ◽

Vol 529 ◽

pp. 743-747

Author(s):

He Ran Tang ◽

Zheng Yu Wu ◽

Chen Xue ◽

Zhi Li

Keyword(s):

Systems Theory ◽

System Simulation ◽

Parallel Systems ◽

Parallel Execution ◽

Computational Experiments ◽

System Model ◽

Systems Science ◽

Space System ◽

Artificial Society

Parallel systems belong to the systems science. In 2004, Fei-Yue Wang proposed parallel systems and ACP theory that artificial society for modeling, computational experiments for analysis, and parallel execution for control. This paper re-expound parallel systems theory by the characteristics of space system and build space system model using computational experiments in the ACP theory and simulate space system by HPC method.

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A Modeling and Experiment Framework for the Emergency Management in AHC Transmission

Computational and Mathematical Methods in Medicine ◽

10.1155/2014/897532 ◽

2014 ◽

Vol 2014 ◽

pp. 1-18 ◽

Cited By ~ 3

Author(s):

Bin Chen ◽

Yuanzheng Ge ◽

Laobing Zhang ◽

Yongzheng Zhang ◽

Ziming Zhong ◽

...

Keyword(s):

Emergency Management ◽

Real World ◽

Agent Model ◽

The Real ◽

Management Intervention ◽

Artificial Society ◽

Environment Model ◽

Intervention Measures ◽

Finite State ◽

Series Of Experiments

Emergency management is crucial to finding effective ways to minimize or even eliminate the damage of emergent events, but there still exists no quantified method to study the events by computation. Statistical algorithms, such as susceptible-infected-recovered (SIR) models on epidemic transmission, ignore many details, thus always influencing the spread of emergent events. In this paper, we first propose an agent-based modeling and experiment framework to model the real world with the emergent events. The model of the real world is called artificial society, which is composed of agent model, agent activity model, and environment model, and it employs finite state automata (FSA) as its modeling paradigm. An artificial campus, on which a series of experiments are done to analyze the key factors of the acute hemorrhagic conjunctivitis (AHC) transmission, is then constructed to illustrate how our method works on the emergency management. Intervention measures and optional configurations (such as the isolation period) of them for the emergency management are also given through the evaluations in these experiments.

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Study for Intelligent Simulation Framework Structure of Equipment Support System Based ACP-Approach

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.791-793.1476 ◽

2013 ◽

Vol 791-793 ◽

pp. 1476-1479

Author(s):

Shou Yu Zhang ◽

Shi Zhen Guo

Keyword(s):

Support System ◽

Simulation System ◽

Parallel Execution ◽

Computational Experiments ◽

Framework Structure ◽

Simulation Framework ◽

Simulation Research ◽

Agent Based ◽

Intelligent Simulation ◽

New Framework

Research of wartime equipment support simulation faces complex and great challenges. It is very difficult to describe, design and finish the complex giant equipment support simulation system with the traditional simulation and model methods. Proposing a new framework structure based on ACP (artificial systems and computational experiments and parallel execution) approach to solve the complexity giant simulation of RESS (real world equipment support system). Including agent-based model analysis, computational experiments and decision-making problems and etc and discuss an ESASS (equipment support artificial simulation system) platform framework. The work can provide an actionable guidance to equipment support practice simulation research.

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A meta-modeling framework in public health emergency management

SIMULATION ◽

10.1177/0037549717733064 ◽

2017 ◽

Vol 94 (5) ◽

pp. 401-419

Author(s):

Bin Chen ◽

Peng Zhang

Keyword(s):

Public Health ◽

Emergency Management ◽

Code Generation ◽

Large Scale ◽

Public Health Emergency ◽

Modeling Framework ◽

Artificial Society ◽

Novel Approach ◽

Meta Modeling ◽

Emergency Scenarios

Epidemic transmission is a common type of public health emergency that is difficult to forecast and often causes substantial harm. Artificial societal models provide a novel approach to the study of public health problems. However, public health emergency management (PHEM) always involves multi-disciplinary and multi-hierarchical models that complicate the work of modeling. Models are also made more complex by the consideration of new requirements and interactions. Therefore, we propose a domain-specific methodology to guide the modeling process in PHEM. By analyzing domain characteristics and modeling requirements, a meta-modeling framework can be constructed, containing the basic elements with which to construct an artificial society to study epidemic transmission. In this paper, the designs of meta-models are discussed in detail, and domain models are implemented by code generation, which enables the support of large-scale, agent-based computational experiments on the KD-ACP platform. Case studies of Ebola are outlined, emergency scenarios are reconstructed based on pre-designed meta-models, and “scenario-response” experiments are presented. This study provides a valuable framework and methodology with which to study complex social problems in PHEM. The proposed method has been verified effectively and efficiently.

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