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Simulating Delay in Seeking Treatment for Stroke Due to COVID-19 Concerns with a Hybrid Agent-Based and Equation-Based Model 基于agent和基于方程的混合模型模拟因COVID-19引起的卒中延迟寻求治疗
Pub Date : 2022-05-19 DOI: 10.1007/978-3-030-92843-8_29
Elizabeth Hunter, Bryony L. McGarry, J. Kelleher
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引用次数: 1
Exposure to Non-exhaust Emission in Central Seoul Using an Agent-based Framework 基于主体框架的首尔市中心非废气排放暴露研究
Pub Date : 2021-11-05 DOI: 10.21203/rs.3.rs-1028055/v1
H. Shin, M. Bithell
Non-exhaust emission (NEE) from brake and tyre wear cause deleterious effects on human health, but the relationship with mobility has not been thoroughly examined. We construct an in silico agent-based traffic simulator for Central Seoul to illustrate the coupled problems of emissions, behaviour, and the estimated exposure to PM10 (particles less than 10 microns in size) for groups of drivers and subway commuters. The results show that significant extra particulates relative to the background exist along roadways where NEEs contributed some 40% of the roadside PM10. In terms of health risk, 88% of resident drivers had an acute health effect in late March but that kind of emergence rarely happened. By contrast, subway commuters’ health risk peaked at a maximum of 30% with frequent oscillations whenever the air pollution episodes occurred. A 90% vehicle restriction scenario reduced PM10 by 18-24%, and reduced the resident driver's risk by a factor of 2, but not effective for subway commuters as the group generally walked through background areas rather than along major roadways. Using an agent-based traffic simulator in a health context can give insights into how exposure and health outcomes can depend on the time of exposure and the mode of transport.
制动和轮胎磨损产生的非废气排放(NEE)对人体健康造成有害影响,但与机动性的关系尚未得到彻底研究。我们为首尔市中心构建了一个基于硅代理的交通模拟器,以说明驾驶员和地铁通勤者的排放、行为和PM10(粒径小于10微米的颗粒)估计暴露的耦合问题。结果表明,相对于背景,道路沿线存在显著的额外颗粒物,其中nee贡献了约40%的路边PM10。在健康风险方面,88%的常住司机在3月下旬出现急性健康影响,但这种情况很少发生。相比之下,地铁通勤者的健康风险最高达到30%,并且在空气污染事件发生时频繁振荡。在90%的车辆限制情况下,PM10减少了18-24%,并将居民司机的风险降低了2倍,但对地铁通勤者无效,因为这群人通常会穿过背景区域,而不是沿着主要道路行走。在健康环境中使用基于代理的交通模拟器可以深入了解暴露和健康结果如何取决于暴露时间和运输方式。
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引用次数: 0
Effects of Limited and Heterogeneous Memory in Hidden-Action Situations 隐藏动作情境下有限记忆和异质记忆的影响
Pub Date : 2021-05-26 DOI: 10.1007/978-3-030-92843-8_10
Patrick Reinwald, Stephan Leitner, F. Wall
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引用次数: 1
Modeling the Evolution of Ideological Landscapes Through Opinion Dynamics 通过舆论动态模拟意识形态景观的演变
Pub Date : 2020-08-25 DOI: 10.1007/978-3-319-47253-9_22
J. Lorenz
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引用次数: 10
A Policy-oriented Agent-based Model of Recruitment into Organized Crime 有组织犯罪招募的政策导向代理人模型
Pub Date : 2020-01-10 DOI: 10.31235/osf.io/egd4s
G. Campedelli, F. Calderoni, Mario Paolucci, Tommaso Comunale, Daniele Vilone, F. Cecconi, G. Andrighetto
Criminal organizations exploit their presence on territories and local communities to recruit new workforce in order to carry out their criminal activities and business. The ability to attract individuals is crucial for maintaining power and control over the territories in which these groups are settled. This study proposes the formalization, development and analysis of an agent-based model (ABM) that simulates a neighborhood of Palermo (Sicily) with the aim to understand the pathways that lead individuals to recruitment into organized crime groups (OCGs). Using empirical data on social, economic and criminal conditions of the area under analysis, we use a multi-layer network approach to simulate this scenario. As the final goal, we test different policies to counter recruitment into OCGs. These scenarios are based on two different dimensions of prevention and intervention: (i) primary and secondary socialization and (ii) law enforcement targeting strategies.
犯罪组织利用其在领土和当地社区的存在来招募新的劳动力,以开展其犯罪活动和业务。吸引个人的能力对于维持权力和控制这些群体所定居的领土至关重要。本研究提出了一个基于主体的模型(ABM)的形式化、开发和分析,该模型模拟了巴勒莫(西西里岛)的一个社区,旨在了解导致个人被招募到有组织犯罪集团(ocg)的途径。利用所分析地区的社会、经济和犯罪状况的经验数据,我们使用多层网络方法来模拟这一场景。作为最终目标,我们测试了不同的政策,以防止招募到ocg。这些设想基于预防和干预的两个不同方面:(i)初级和二级社会化;(ii)执法目标战略。
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引用次数: 0
Gen*: An Integrated Tool for Realistic Agent Population Synthesis Gen*:一种现实Agent种群综合的集成工具
Pub Date : 2019-09-23 DOI: 10.1007/978-3-030-61503-1_18
Kevin Chapuis, P. Taillandier, B. Gaudou, F. Amblard, S. Thiriot
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引用次数: 4
Adapting the Social Force Model for Low Density Crowds in Open Environments 开放环境下低密度人群的社会力模型调整
Pub Date : 2019-09-23 DOI: 10.1007/978-3-030-61503-1_49
Manon Prédhumeau, J. Dugdale, A. Spalanzani
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引用次数: 11
Coupling Agent-Based Models and Argumentation Framework to Simulate Opinion Dynamics: Application to Vegetarian Diet Diffusion 耦合基于agent的模型和论证框架来模拟意见动态:在素食传播中的应用
Pub Date : 2019-08-09 DOI: 10.3929/ETHZ-B-000383850
P. Taillandier, Nicolas Salliou, R. Thomopoulos
Agent-based simulation has been extensively used to studyopinion dynamics. However, the vast majority of the existing modelshave been limited to extremely abstract and simplified representationsof the diffusion process, which impairs the realism of the simulationsand disables the understanding of the reasons for the shift of an actor’sopinion. This paper presents a generic framework implemented in theGAMA platform allowing to explicitly represent exchanges of argumentsbetween actors in a context of an opinion dynamic model. More precisely,we propose to formalize the inner attitude towards an opinion of eachagent as an argumentation graph and give them the possibility to sharearguments with other agents. We present an application of the frameworkto study the evolution of the vegetarian diet at a city level.
基于智能体的仿真已被广泛用于研究意见动态。然而,现有的绝大多数模型都局限于极其抽象和简化的扩散过程表示,这损害了模拟的真实性,并且无法理解参与者意见转变的原因。本文提出了一个在gama平台中实现的通用框架,允许在意见动态模型的上下文中显式表示参与者之间的争论交换。更准确地说,我们建议将代理人对意见的内在态度形式化为一个论证图,并使他们有可能与其他代理人分享论点。我们提出了一个应用框架来研究素食饮食的演变在一个城市的水平。
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引用次数: 3
How Should Agent-Based Modelling Engage With Historical Processes? 基于智能体的建模如何与历史过程相结合?
Pub Date : 2017-03-17 DOI: 10.1007/978-3-319-47253-9_5
Edmund Chattoe-Brown, Simone Gabbriellini
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引用次数: 1
Design of an Empirical Agent-Based Model to Explore Rural Household Food Security Within a Developing Country Context 发展中国家背景下农村家庭粮食安全的实证主体模型设计
Pub Date : 2017-03-17 DOI: 10.1007/978-3-319-47253-9_7
S. Dobbie, S. Balbi
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引用次数: 6
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Conference of the European Social Simulation Association
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