Jasss-The Journal of Artificial Societies and Social Simulation最新文献_第2页

Emergency Warning Dissemination in a Multiplex Social Network 多元社会网络中的应急预警传播

IF 4.2 3区工程技术

Jasss-The Journal of Artificial Societies and Social Simulation Pub Date : 2023-01-01 DOI: 10.18564/jasss.4946

Charles Koll, Michael Lindell, Chen Chen, Haizhong Wang

引用次数: 2

Agent-Based Simulation of Policy Funding Tradeoffs Through the Lens of Legitimacy and Hardship 合法性与困难视角下基于主体的政策融资权衡模拟

IF 4.2 3区工程技术

Jasss-The Journal of Artificial Societies and Social Simulation Pub Date : 2023-01-01 DOI: 10.18564/jasss.5169

John C. Mitcham

引用次数: 0

Development of a Neural Network for modeling the behavior of the Educational Process 用于模拟教育过程行为的神经网络的发展

IF 4.2 3区工程技术

Jasss-The Journal of Artificial Societies and Social Simulation Pub Date : 2023-01-01 DOI: 10.18254/s207751800024453-7

Evgeny Zaripov

{"title":"Development of a Neural Network for modeling the behavior of the Educational Process","authors":"Evgeny Zaripov","doi":"10.18254/s207751800024453-7","DOIUrl":"https://doi.org/10.18254/s207751800024453-7","url":null,"abstract":"Identifying high-risk students as early as possible plays an important role in improving the quality of education. To do this, most of the existing research used traditional machine learning algorithms to predict student achievement based on their behavioral data, from which behavioral features were manually extracted using the experience and knowledge of experts. However, due to the increase in diversity and the overall volume of behavioral data, it is becoming increasingly difficult to identify high-quality handcrafted items. In this article, the authors propose an end-to-end deep learning model that automatically extracts features from heterogeneous student behavior data from multiple sources to predict academic achievement. The key innovation of this model is that it uses long-short-term memory networks to capture the inherent characteristics of the time series for each behavior, and it also uses 2D convolutional networks to extract correlation features between different behaviors. The authors carried out experiments with four types of data on the daily behavior of RTU MIREA students. The experimental results demonstrated that the proposed deep model method outperforms several machine learning algorithms (by about 5 times).","PeriodicalId":51498,"journal":{"name":"Jasss-The Journal of Artificial Societies and Social Simulation","volume":"13 1","pages":""},"PeriodicalIF":4.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89898030","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Calibrating an Opinion Dynamics Model to Empirical Opinion Distributions and Transitions 校准经验意见分布和转移的意见动态模型

3区工程技术

Jasss-The Journal of Artificial Societies and Social Simulation Pub Date : 2023-01-01 DOI: 10.18564/jasss.5204

Martin Gestefeld, Jan Lorenz

引用次数: 0

The Role of Argument Strength and Informational Biases in Polarization and Bi-Polarization Effects 论证强度和信息偏差在极化和双极化效应中的作用

IF 4.2 3区工程技术

Jasss-The Journal of Artificial Societies and Social Simulation Pub Date : 2023-01-01 DOI: 10.18564/jasss.5062

Carlo Proietti, D. Chiarella

引用次数: 0

Identifying the Impact of Artifacts-Based Exploration and Exploitation on Routines’ Formation Dynamics: An Agent-Based Model 识别基于工件的探索和开发对例程形成动力学的影响:一个基于agent的模型

IF 4.2 3区工程技术

Jasss-The Journal of Artificial Societies and Social Simulation Pub Date : 2023-01-01 DOI: 10.18564/jasss.5092

Dehua Gao, Yumei Yang

{"title":"Identifying the Impact of Artifacts-Based Exploration and Exploitation on Routines’ Formation Dynamics: An Agent-Based Model","authors":"Dehua Gao, Yumei Yang","doi":"10.18564/jasss.5092","DOIUrl":"https://doi.org/10.18564/jasss.5092","url":null,"abstract":": Organizational routines are at the core in capturing the typical way of how organizations accomplish their tasks. This paper primarily summarizes the development of scholars’ understanding of the crucial role that artifacts and the materiality play during the course of routines. We then focus on the material artifacts-based exploration and exploitation carried out by multiple human actors, and create a link between individual situated actions at the micro-level and the collective outcome as patterned routines. This discloses the underlying logic between human actors’ exploration and exploitation of material artifacts on the one hand, and the ‘(re)framing-overflowing’ interaction loop amidst routine performances and artifacts as artifactual representations (D’Adderio 2008, 2011) on the other. Subsequently, this study uses an agent-based approach to formalize routines formation dynamics from the ‘bottom-up’. Our simulation results highlighted the relationships be-tween the three crucial aspects – which include the interdependences between situated-actions within and between organizational tasks, artifacts-based explorative and exploitative activities carried out by multiple human actors, and organizational structures or the power asymmetry characterizing interpersonal relationships within the routine system. The research work theoretically enriches people’s understanding of routines formation dynamics over time, and provides indications for managers in designing routine performances via the artifacts.","PeriodicalId":51498,"journal":{"name":"Jasss-The Journal of Artificial Societies and Social Simulation","volume":"1 1","pages":""},"PeriodicalIF":4.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67492870","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Spatial Disparities in Vaccination and the Risk of Infection in a Multi-Region Agent-Based Model of Epidemic Dynamics 基于多区域agent的流行病动力学模型中疫苗接种和感染风险的空间差异

IF 4.2 3区工程技术

Jasss-The Journal of Artificial Societies and Social Simulation Pub Date : 2023-01-01 DOI: 10.18564/jasss.5095

Myong-Hun Chang, Troy Tassier

{"title":"Spatial Disparities in Vaccination and the Risk of Infection in a Multi-Region Agent-Based Model of Epidemic Dynamics","authors":"Myong-Hun Chang, Troy Tassier","doi":"10.18564/jasss.5095","DOIUrl":"https://doi.org/10.18564/jasss.5095","url":null,"abstract":": We investigate the impact that disparities in regional vaccine coverage have on the risk of infection for an unvaccinated individual. To address this issue, we develop an agent-based computational model of epidemics with two features: 1) a population divided among multiple regions with heterogeneous vaccine coverage; 2) contact networks for individuals that allow for both intra-regional interactions and inter-regional interactions. The benchmark version of the model is specified using county-level flu vaccination claims rates from California. Weisolatetheeffectsofheterogeneitybyholdingoverallvaccinationlevelsconstant, whilechanging the variance in the distribution of regional vaccine coverage. We find that an increase in spatial heterogeneity leads to larger epidemics on average. This effect is magnified when more inter-regional connections exist in the contact structure of the networks. The central result in the paper is that there is a non-monotonic relationship between the infection risk and the geographic resolution of vaccination rate measurement. Infection risk of an unvaccinated individual decreases in both the global rate of vaccinations and the rate of vaccination of the individual’s specific contacts. Surprisingly, we find that the vaccination rate in an individual’s home region does not have a significant impact on an individual’s infection risk in our model. This has significant implications for an individual’s vaccine choices. Global and local (network specific) vaccination rates are highly correlated with infection risk and thus should be prioritized as information sources for rational decision-making. Using the region-specific information, however, is likely to lead to non-optimal decisions.","PeriodicalId":51498,"journal":{"name":"Jasss-The Journal of Artificial Societies and Social Simulation","volume":"1 1","pages":""},"PeriodicalIF":4.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67492886","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

How Availability Heuristic, Confirmation Bias and Fear May Drive Societal Polarisation: An Opinion Dynamics Simulation of the Case of COVID-19 Vaccination 可得性启发式、确认偏差和恐惧如何推动社会两极分化:COVID-19疫苗接种案例的意见动态模拟

3区工程技术

Jasss-The Journal of Artificial Societies and Social Simulation Pub Date : 2023-01-01 DOI: 10.18564/jasss.5135

Teng Li, Wander Jager

引用次数: 0

Corrigendum to 'the Role of Argument Strength and Informational Biases in Polarization and Bi-Polarization Effects', Journal of Artificial Societies and Social Simulation, 26 (2) 5, 2023 《论证强度和信息偏差在极化和双极化效应中的作用》，《人工社会与社会模拟》，2023年第26期第5期

IF 4.2 3区工程技术

Jasss-The Journal of Artificial Societies and Social Simulation Pub Date : 2023-01-01 DOI: 10.18564/jasss.5164

Carlo Proietti, D. Chiarella

引用次数: 0

Editorial: Social Identity Modelling 社论:社会身份模型

IF 4.2 3区工程技术

Jasss-The Journal of Artificial Societies and Social Simulation Pub Date : 2023-01-01 DOI: 10.18564/jasss.5188

Nanda Wijermans, Geeske Scholz, Martin Neumann, Rocco Paolillo, A. Templeton, V. Netshandama, Doris Neuberger

引用次数: 0