Charles Koll, Michael Lindell, Chen Chen, Haizhong Wang
{"title":"Emergency Warning Dissemination in a Multiplex Social Network","authors":"Charles Koll, Michael Lindell, Chen Chen, Haizhong Wang","doi":"10.18564/jasss.4946","DOIUrl":"https://doi.org/10.18564/jasss.4946","url":null,"abstract":"","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":"67492939","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}
{"title":"Agent-Based Simulation of Policy Funding Tradeoffs Through the Lens of Legitimacy and Hardship","authors":"John C. Mitcham","doi":"10.18564/jasss.5169","DOIUrl":"https://doi.org/10.18564/jasss.5169","url":null,"abstract":"","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":"67493026","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}
Pub Date : 2023-01-01DOI: 10.18254/s207751800024453-7
Evgeny Zaripov
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).
{"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}
{"title":"Calibrating an Opinion Dynamics Model to Empirical Opinion Distributions and Transitions","authors":"Martin Gestefeld, Jan Lorenz","doi":"10.18564/jasss.5204","DOIUrl":"https://doi.org/10.18564/jasss.5204","url":null,"abstract":"","PeriodicalId":51498,"journal":{"name":"Jasss-The Journal of Artificial Societies and Social Simulation","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135318977","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}
{"title":"The Role of Argument Strength and Informational Biases in Polarization and Bi-Polarization Effects","authors":"Carlo Proietti, D. Chiarella","doi":"10.18564/jasss.5062","DOIUrl":"https://doi.org/10.18564/jasss.5062","url":null,"abstract":"","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":"67492682","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}
: 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.
{"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}
: 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.
{"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}
{"title":"How Availability Heuristic, Confirmation Bias and Fear May Drive Societal Polarisation: An Opinion Dynamics Simulation of the Case of COVID-19 Vaccination","authors":"Teng Li, Wander Jager","doi":"10.18564/jasss.5135","DOIUrl":"https://doi.org/10.18564/jasss.5135","url":null,"abstract":"","PeriodicalId":51498,"journal":{"name":"Jasss-The Journal of Artificial Societies and Social Simulation","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135318952","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}
{"title":"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","authors":"Carlo Proietti, D. Chiarella","doi":"10.18564/jasss.5164","DOIUrl":"https://doi.org/10.18564/jasss.5164","url":null,"abstract":"","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":"67492981","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}
Nanda Wijermans, Geeske Scholz, Martin Neumann, Rocco Paolillo, A. Templeton, V. Netshandama, Doris Neuberger
: Thisisaneditorialtothespecialsectionon“SocialIdentityModelling”,publishedinVolume26,Issues 2 and 3, 2023 of the Journal of Artificial Societies and Social Simulation. It provides information on how the Social Identity Approach (SIA) and the research using its theoretical framework explains collective behaviour, tailored specifically for modellers. The discussion centres around describing and reflecting on the state of the art in modelling SIA. The editorial ends with looking ahead towards formalising SIA as a means to enable more collective behavioural realism in agent-based social simulations.
{"title":"Editorial: Social Identity Modelling","authors":"Nanda Wijermans, Geeske Scholz, Martin Neumann, Rocco Paolillo, A. Templeton, V. Netshandama, Doris Neuberger","doi":"10.18564/jasss.5188","DOIUrl":"https://doi.org/10.18564/jasss.5188","url":null,"abstract":": Thisisaneditorialtothespecialsectionon“SocialIdentityModelling”,publishedinVolume26,Issues 2 and 3, 2023 of the Journal of Artificial Societies and Social Simulation. It provides information on how the Social Identity Approach (SIA) and the research using its theoretical framework explains collective behaviour, tailored specifically for modellers. The discussion centres around describing and reflecting on the state of the art in modelling SIA. The editorial ends with looking ahead towards formalising SIA as a means to enable more collective behavioural realism in agent-based social simulations.","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":"67493048","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：