Pub Date : 2022-06-02DOI: 10.1177/00375497221101066
Yasmin Abdulhussain, Hardik Ghelani, H. Henderson, M. Sudhir, Sharon Mascarenhas, R. Radhakrishnan, R. Jan
Over the past 10 years, there has been an increase in the use of high-fidelity simulation (HFS) as a tool to support and enhance learning in health profession programs. In this article, we review the utilization of HFS in biomedical (basic science) courses for health professions students, and we compare its effectiveness to traditional teaching methods. Studies exploring the impact of HFS on students and residents were included in the review. The use of HFS is more prevalent in advanced clinical settings such as in training residents and nurses than in teaching students in preclinical years. When compared to traditional teaching methods, HFS is noted to be superior in delivering core biomedical concepts to students and healthcare professionals. However, a few studies showed no significant differences between HFS and traditional teaching methods when assessing clinical management skills. Overall, HFS is a valuable teaching tool which enhances knowledge retention and clinical skill acquisition in medical education.
{"title":"The use and effectiveness of high-fidelity simulation in health professions education: current update","authors":"Yasmin Abdulhussain, Hardik Ghelani, H. Henderson, M. Sudhir, Sharon Mascarenhas, R. Radhakrishnan, R. Jan","doi":"10.1177/00375497221101066","DOIUrl":"https://doi.org/10.1177/00375497221101066","url":null,"abstract":"Over the past 10 years, there has been an increase in the use of high-fidelity simulation (HFS) as a tool to support and enhance learning in health profession programs. In this article, we review the utilization of HFS in biomedical (basic science) courses for health professions students, and we compare its effectiveness to traditional teaching methods. Studies exploring the impact of HFS on students and residents were included in the review. The use of HFS is more prevalent in advanced clinical settings such as in training residents and nurses than in teaching students in preclinical years. When compared to traditional teaching methods, HFS is noted to be superior in delivering core biomedical concepts to students and healthcare professionals. However, a few studies showed no significant differences between HFS and traditional teaching methods when assessing clinical management skills. Overall, HFS is a valuable teaching tool which enhances knowledge retention and clinical skill acquisition in medical education.","PeriodicalId":49516,"journal":{"name":"Simulation-Transactions of the Society for Modeling and Simulation International","volume":"48 1","pages":"1085 - 1095"},"PeriodicalIF":1.6,"publicationDate":"2022-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90803131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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 : 2022-06-02DOI: 10.1177/00375497221098417
Jesús Manuel Rodríguez-Núñez, A. de León, M. Molinar-Tabares, M. Flores-Acosta, SJ Castillo
In this paper, we propose to use a computational method of chaos control to simulate complex experimental spectra. This computational chaos control technique is based on the Ott–Grebogi–York (OGY) method. We chose the logistic map as the base mathematical model for the development of our work. For the numeric part, we created arbitrary precision algorithms to generate the solutions. This way, we completely eliminated any degradation of chaos from our results. These algorithms were also necessary for the proper perturbation process that the computational chaos control method requires. We control the chaos of the logistic map in two cases of Period 1 and one case of Period 2 to demonstrate that our control method works. The behavior of a complex experimental spectrum was taken and numerically simulated. The simulated spectrum was obtained by controlling the chaos of the logistic map in a variable way with the methods proposed in this work. Our results show that it is possible to simulate very complicated experimental spectra by computationally controlling the chaos of an equation unrelated to the experimental system.
本文提出了一种混沌控制的计算方法来模拟复杂的实验光谱。这种计算混沌控制技术是基于ot - grebogi - york (OGY)方法。我们选择了logistic图作为开展工作的基础数学模型。对于数值部分，我们创建了任意精度的算法来生成解。通过这种方式，我们完全消除了结果中任何混乱的退化。这些算法对于计算混沌控制方法所要求的适当摄动过程也是必要的。我们在两个周期1和一个周期2的情况下控制了logistic映射的混沌，以证明我们的控制方法是有效的。对复杂实验谱的行为进行了数值模拟。利用本文提出的方法对logistic映射的混沌进行变量控制，得到仿真频谱。我们的结果表明，通过计算控制与实验系统无关的方程的混沌，可以模拟非常复杂的实验光谱。
{"title":"Computational chaos control based on small perturbations for complex spectra simulation","authors":"Jesús Manuel Rodríguez-Núñez, A. de León, M. Molinar-Tabares, M. Flores-Acosta, SJ Castillo","doi":"10.1177/00375497221098417","DOIUrl":"https://doi.org/10.1177/00375497221098417","url":null,"abstract":"In this paper, we propose to use a computational method of chaos control to simulate complex experimental spectra. This computational chaos control technique is based on the Ott–Grebogi–York (OGY) method. We chose the logistic map as the base mathematical model for the development of our work. For the numeric part, we created arbitrary precision algorithms to generate the solutions. This way, we completely eliminated any degradation of chaos from our results. These algorithms were also necessary for the proper perturbation process that the computational chaos control method requires. We control the chaos of the logistic map in two cases of Period 1 and one case of Period 2 to demonstrate that our control method works. The behavior of a complex experimental spectrum was taken and numerically simulated. The simulated spectrum was obtained by controlling the chaos of the logistic map in a variable way with the methods proposed in this work. Our results show that it is possible to simulate very complicated experimental spectra by computationally controlling the chaos of an equation unrelated to the experimental system.","PeriodicalId":49516,"journal":{"name":"Simulation-Transactions of the Society for Modeling and Simulation International","volume":"30 1","pages":"835 - 846"},"PeriodicalIF":1.6,"publicationDate":"2022-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82751428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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 : 2022-06-01DOI: 10.1177/00375497221099547
Vishnunarayan Girishan Prabhu, K. Taaffe, R. Pirrallo, William Jackson, Michael Ramsay
Emergency departments (ED) act as primary patient access points for millions of people seeking medical care. However, the sheer volume of patient arrivals and variability among cases makes ED prone to crowding, a well-recognized public health, and patient safety issue. In addition, patient care transitions from one physician to another, known as handoffs, increase with crowding and negatively impact patient safety and satisfaction. This research focused on utilizing a novel hybrid modeling approach to represent the physician and patient activities in the ED to identify physician shift policies that can improve patient safety and patient flow by minimizing handoffs and patient time in the ED. Compared to the current practices that utilize a non-overlapping schedule for staffing the physicians, policies that restrict physicians from taking new patients during the end of their shift can reduce the number of handoffs by as much as 11.2%, with no significant difference in patient time in the ED. Furthermore, comparing current practices to overlapping staffing policies with restrictions, we observed that handoffs and patient time in the ED could be reduced to 41.5% and 14%, with a slight increase in physician full-time equivalents. Finally, we also observed that the ED could immediately accommodate a 10%–15% increase in patient volume with an overlapping staffing policy and still achieve the current performance metrics. However, implementing these policies in a specific ED would call for a risk–cost–benefit analysis considering ED demands, resource availability, and staffing costs.
{"title":"Overlapping shifts to improve patient safety and patient flow in emergency departments","authors":"Vishnunarayan Girishan Prabhu, K. Taaffe, R. Pirrallo, William Jackson, Michael Ramsay","doi":"10.1177/00375497221099547","DOIUrl":"https://doi.org/10.1177/00375497221099547","url":null,"abstract":"Emergency departments (ED) act as primary patient access points for millions of people seeking medical care. However, the sheer volume of patient arrivals and variability among cases makes ED prone to crowding, a well-recognized public health, and patient safety issue. In addition, patient care transitions from one physician to another, known as handoffs, increase with crowding and negatively impact patient safety and satisfaction. This research focused on utilizing a novel hybrid modeling approach to represent the physician and patient activities in the ED to identify physician shift policies that can improve patient safety and patient flow by minimizing handoffs and patient time in the ED. Compared to the current practices that utilize a non-overlapping schedule for staffing the physicians, policies that restrict physicians from taking new patients during the end of their shift can reduce the number of handoffs by as much as 11.2%, with no significant difference in patient time in the ED. Furthermore, comparing current practices to overlapping staffing policies with restrictions, we observed that handoffs and patient time in the ED could be reduced to 41.5% and 14%, with a slight increase in physician full-time equivalents. Finally, we also observed that the ED could immediately accommodate a 10%–15% increase in patient volume with an overlapping staffing policy and still achieve the current performance metrics. However, implementing these policies in a specific ED would call for a risk–cost–benefit analysis considering ED demands, resource availability, and staffing costs.","PeriodicalId":49516,"journal":{"name":"Simulation-Transactions of the Society for Modeling and Simulation International","volume":"9 1","pages":"961 - 978"},"PeriodicalIF":1.6,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90432830","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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 : 2022-05-21DOI: 10.1177/00375497221099548
B. Mello, Gabriel A. Wainer
The design of embedded real-time systems (RTS) is challenging due to the criticality of the timing constraints of these systems. Various informal and formal methods for RTS design have been proposed, both in the design space and the real-time execution at the hardware level, but many of these methods are not effective when the complexity of the system scales up. Here, we discuss a new method to integrate a modeling (and simulation) formalism that allows designing complex systems specifications for real-time constraints called Imprecise-DEVS (I-DEVS), and the mapping of such high-level models into a real-time task model. This method allows analyzing real-time constraints both at the high level of modeling as well as the low level of the tasks executed by the processing units and the Operating System. A new method to study the schedulability of the task models is proposed. The method provides a design analysis space from the model level, up to the individual tasks, with a focus on the schedulability of real-time constraints under transient overloading conditions.
{"title":"Integrating I-DEVS and schedulability methods for analyzing real-time systems constraints","authors":"B. Mello, Gabriel A. Wainer","doi":"10.1177/00375497221099548","DOIUrl":"https://doi.org/10.1177/00375497221099548","url":null,"abstract":"The design of embedded real-time systems (RTS) is challenging due to the criticality of the timing constraints of these systems. Various informal and formal methods for RTS design have been proposed, both in the design space and the real-time execution at the hardware level, but many of these methods are not effective when the complexity of the system scales up. Here, we discuss a new method to integrate a modeling (and simulation) formalism that allows designing complex systems specifications for real-time constraints called Imprecise-DEVS (I-DEVS), and the mapping of such high-level models into a real-time task model. This method allows analyzing real-time constraints both at the high level of modeling as well as the low level of the tasks executed by the processing units and the Operating System. A new method to study the schedulability of the task models is proposed. The method provides a design analysis space from the model level, up to the individual tasks, with a focus on the schedulability of real-time constraints under transient overloading conditions.","PeriodicalId":49516,"journal":{"name":"Simulation-Transactions of the Society for Modeling and Simulation International","volume":"3565 1","pages":"1143 - 1159"},"PeriodicalIF":1.6,"publicationDate":"2022-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86663937","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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 : 2022-05-19DOI: 10.1177/00375497221093648
Xinming Tang, Xiaoqi Ji
In this study, an early runway incursion warning method was developed based on a Petri net model in order to achieve zero missing and false runway incursion warnings. The runway incursion warning scenario is analyzed based on the output states of the aircraft/vehicles in the airport surface. The runway operation model based on a Petri net model was established by considering Guangzhou Baiyun International Airport as an example. In addition to the runway warning rules, the standard runway operation constraints are imposed on the Petri net model to provide early warnings in nine runway incursion scenarios. The zero missing and false early runway incursion warning method based on a Petri net model was tested based on scenario simulations and realized warning display on surveillance map.
{"title":"Research on early runway incursion warning based on Petri net","authors":"Xinming Tang, Xiaoqi Ji","doi":"10.1177/00375497221093648","DOIUrl":"https://doi.org/10.1177/00375497221093648","url":null,"abstract":"In this study, an early runway incursion warning method was developed based on a Petri net model in order to achieve zero missing and false runway incursion warnings. The runway incursion warning scenario is analyzed based on the output states of the aircraft/vehicles in the airport surface. The runway operation model based on a Petri net model was established by considering Guangzhou Baiyun International Airport as an example. In addition to the runway warning rules, the standard runway operation constraints are imposed on the Petri net model to provide early warnings in nine runway incursion scenarios. The zero missing and false early runway incursion warning method based on a Petri net model was tested based on scenario simulations and realized warning display on surveillance map.","PeriodicalId":49516,"journal":{"name":"Simulation-Transactions of the Society for Modeling and Simulation International","volume":"105 1","pages":"503 - 514"},"PeriodicalIF":1.6,"publicationDate":"2022-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88945000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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 : 2022-05-18DOI: 10.1177/00375497221095071
Haiquan Li, Yan Wang, Juncheng Jiang, Ru Zhou
The emergency response process will not start immediately in the initial stage of a subway accident, and information will not fully spread temporarily. Crowds in different regions receive different comprehensiveness of accident information. They will start evacuating at different times and at different desired speed states. Depending on this phenomenon, pedestrians were classified in simulation modeling. In addition, the different states of emergency gates, escalators, and automatic gate machines before and after the emergency response instruction were set up in the simulation. The impact of different emergency response times on evacuations was studied. The emergency response in advance did not make a significant promotion to evacuation efficiency, but delayed emergency response reduced it greatly. This work proposed an evacuation risk index (ERI) and maximum safe evacuation capacity in metro stations. The worst accident evacuation scenario can be obtained by calculating the ERI, and a metro station was evaluated as a case study. The comparison of the evaluation results of ERI and other methods shows that the conclusion is consistent, but ERI considers the accident location factor.
{"title":"Metro station evacuation safety assessment considering emergency response","authors":"Haiquan Li, Yan Wang, Juncheng Jiang, Ru Zhou","doi":"10.1177/00375497221095071","DOIUrl":"https://doi.org/10.1177/00375497221095071","url":null,"abstract":"The emergency response process will not start immediately in the initial stage of a subway accident, and information will not fully spread temporarily. Crowds in different regions receive different comprehensiveness of accident information. They will start evacuating at different times and at different desired speed states. Depending on this phenomenon, pedestrians were classified in simulation modeling. In addition, the different states of emergency gates, escalators, and automatic gate machines before and after the emergency response instruction were set up in the simulation. The impact of different emergency response times on evacuations was studied. The emergency response in advance did not make a significant promotion to evacuation efficiency, but delayed emergency response reduced it greatly. This work proposed an evacuation risk index (ERI) and maximum safe evacuation capacity in metro stations. The worst accident evacuation scenario can be obtained by calculating the ERI, and a metro station was evaluated as a case study. The comparison of the evaluation results of ERI and other methods shows that the conclusion is consistent, but ERI considers the accident location factor.","PeriodicalId":49516,"journal":{"name":"Simulation-Transactions of the Society for Modeling and Simulation International","volume":"116 1","pages":"919 - 931"},"PeriodicalIF":1.6,"publicationDate":"2022-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79374182","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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 : 2022-05-11DOI: 10.1177/00375497221095070
Audun Stolpe, J. Hannay
We develop a logic-based approach for designing simulation-based training scenarios. Our methodology embodies a concise definition of the scenario concept and integrates the notions of training goals, acceptable versus unacceptable actions and performance scoring. The approach applies classical artificial intelligence (AI) planning to extract coherent plays from a causal description of the training domain. The domain- and task-specific parts are defined in a high-level action description language A L . Generic causal and temporal logic is added when the causal theory is compiled into the underlying Answer Set Programming (ASP) language. The ASP representation is used to derive a scoring function that reflects the quality of a play or training session, based on a distinction of states and actions into green (acceptable) and red (unacceptable) ones. To that end, we add to the casual theory a set of norms that specify an initial assignment of colors. The ASP engine uses these norms as axioms and propagates colors by consulting the causal theory. We prove that any set of such norms constitutes a conservative extension of the underlying causal theory. With this work, we hope to lay the foundation for the development of design and analysis tools for exercise managers. We envision a software system that lets an exercise manager view all plays of a tentative scenario design, with expediency information and scores for each possible play. Our approach is applicable to any domain in which means-ends reasoning is pertinent. We illustrate the approach in the domain of crisis response and management.
{"title":"Quantifying means-end reasoning skills in simulation-based training: a logic-based approach","authors":"Audun Stolpe, J. Hannay","doi":"10.1177/00375497221095070","DOIUrl":"https://doi.org/10.1177/00375497221095070","url":null,"abstract":"We develop a logic-based approach for designing simulation-based training scenarios. Our methodology embodies a concise definition of the scenario concept and integrates the notions of training goals, acceptable versus unacceptable actions and performance scoring. The approach applies classical artificial intelligence (AI) planning to extract coherent plays from a causal description of the training domain. The domain- and task-specific parts are defined in a high-level action description language A L . Generic causal and temporal logic is added when the causal theory is compiled into the underlying Answer Set Programming (ASP) language. The ASP representation is used to derive a scoring function that reflects the quality of a play or training session, based on a distinction of states and actions into green (acceptable) and red (unacceptable) ones. To that end, we add to the casual theory a set of norms that specify an initial assignment of colors. The ASP engine uses these norms as axioms and propagates colors by consulting the causal theory. We prove that any set of such norms constitutes a conservative extension of the underlying causal theory. With this work, we hope to lay the foundation for the development of design and analysis tools for exercise managers. We envision a software system that lets an exercise manager view all plays of a tentative scenario design, with expediency information and scores for each possible play. Our approach is applicable to any domain in which means-ends reasoning is pertinent. We illustrate the approach in the domain of crisis response and management.","PeriodicalId":49516,"journal":{"name":"Simulation-Transactions of the Society for Modeling and Simulation International","volume":"11 1","pages":"933 - 957"},"PeriodicalIF":1.6,"publicationDate":"2022-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78294143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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 : 2022-05-08DOI: 10.1177/00375497221094873
Victorino Sanz, A. Urquia
Modelica is a general-purpose modeling language mainly designed to facilitate the development, reusability and exchange of models. It represents the state-of-the-art in equation-based modeling of continuous-time systems. Modelica libraries facilitate the description of multi-formalism and multi-domain models. However, the description of agent-based models (ABMs) in Modelica is not currently supported, mainly due to the characteristics of the language and its simulation algorithm. The combination of ABMs with continuous-time equations provides a powerful tool for describing and analyzing complex systems. An approach for describing ABMs using the Modelica language is presented in this manuscript, with the objective of facilitating the combination of ABMs with the rest of Modelica functionality. Agent behavior is described using a process-oriented modeling approach. Agents are described as individual entities that move across a flowchart diagram, that represents the processes that agents undergo. Processes are formally described using the Parallel DEVS formalism, extended to describe the interface with other Modelica models. The environment where agents interact is described as a cellular automaton. This approach has been implemented in a free Modelica library, named ABMLib. Three case studies are discussed to illustrate the modeling functionality of the library and its combination with other models: a basic traffic model, a sheep–wolves predator–prey model and a consumer market model.
{"title":"Combining PDEVS and Modelica for describing agent-based models","authors":"Victorino Sanz, A. Urquia","doi":"10.1177/00375497221094873","DOIUrl":"https://doi.org/10.1177/00375497221094873","url":null,"abstract":"Modelica is a general-purpose modeling language mainly designed to facilitate the development, reusability and exchange of models. It represents the state-of-the-art in equation-based modeling of continuous-time systems. Modelica libraries facilitate the description of multi-formalism and multi-domain models. However, the description of agent-based models (ABMs) in Modelica is not currently supported, mainly due to the characteristics of the language and its simulation algorithm. The combination of ABMs with continuous-time equations provides a powerful tool for describing and analyzing complex systems. An approach for describing ABMs using the Modelica language is presented in this manuscript, with the objective of facilitating the combination of ABMs with the rest of Modelica functionality. Agent behavior is described using a process-oriented modeling approach. Agents are described as individual entities that move across a flowchart diagram, that represents the processes that agents undergo. Processes are formally described using the Parallel DEVS formalism, extended to describe the interface with other Modelica models. The environment where agents interact is described as a cellular automaton. This approach has been implemented in a free Modelica library, named ABMLib. Three case studies are discussed to illustrate the modeling functionality of the library and its combination with other models: a basic traffic model, a sheep–wolves predator–prey model and a consumer market model.","PeriodicalId":49516,"journal":{"name":"Simulation-Transactions of the Society for Modeling and Simulation International","volume":"1 1","pages":"455 - 474"},"PeriodicalIF":1.6,"publicationDate":"2022-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89749109","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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 : 2022-05-08DOI: 10.1177/00375497221093652
Gayane Grigoryan, Sheida Etemadidavan, Andrew J. Collins
One of the challenges for agent-based modeling is being able to incorporate human behavior. Human behavior is a multifaceted phenomenon, with strategic coalition formation being one form. A hybrid agent-based modeling approach, called ABMSCORE, has been derived to emulate strategic group formation. In this paper, we describe a simulation experiment to compare the ABMSCORE with actual human behavior. The comparison criterion is the respective rates of finding an ideal coalition. In our experimental design, we go to great lengths to ensure the similarity of the scenarios in the two trial types: trials with computerized agents only and trials involving human participants when one of the computerized agents is replaced by an actual human. We did this to limit the number of possible extraneous variables introduced into the experimental system. The scenario considered is the glove game, a standard cooperative game that has been previously used in human experiments. Our results indicate that the ABMSCORE model produces similar rates of finding the ideal coalition as the human players; however, there are some limitations. This research provides evidence for using the ABMSCORE modeling approach to model human strategic coalition formation in agent-based models.
{"title":"Computerized agents versus human agents in finding core coalition in glove games","authors":"Gayane Grigoryan, Sheida Etemadidavan, Andrew J. Collins","doi":"10.1177/00375497221093652","DOIUrl":"https://doi.org/10.1177/00375497221093652","url":null,"abstract":"One of the challenges for agent-based modeling is being able to incorporate human behavior. Human behavior is a multifaceted phenomenon, with strategic coalition formation being one form. A hybrid agent-based modeling approach, called ABMSCORE, has been derived to emulate strategic group formation. In this paper, we describe a simulation experiment to compare the ABMSCORE with actual human behavior. The comparison criterion is the respective rates of finding an ideal coalition. In our experimental design, we go to great lengths to ensure the similarity of the scenarios in the two trial types: trials with computerized agents only and trials involving human participants when one of the computerized agents is replaced by an actual human. We did this to limit the number of possible extraneous variables introduced into the experimental system. The scenario considered is the glove game, a standard cooperative game that has been previously used in human experiments. Our results indicate that the ABMSCORE model produces similar rates of finding the ideal coalition as the human players; however, there are some limitations. This research provides evidence for using the ABMSCORE modeling approach to model human strategic coalition formation in agent-based models.","PeriodicalId":49516,"journal":{"name":"Simulation-Transactions of the Society for Modeling and Simulation International","volume":"35 1","pages":"807 - 821"},"PeriodicalIF":1.6,"publicationDate":"2022-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88368996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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 : 2022-05-08DOI: 10.1177/00375497221094846
Tim Sloos, Brent Rustand, Xinhe Liu, Connor Keegan, R. Sourki, A. Milani
In this article, three elemental (dipole, loop, and meander) designs of an implanted biomedical device (IBD) antenna are studied to provide an enhanced understanding of fundamental (material and geometry) factors which would contribute to the regulation of a steady vital sign, with minimal effect on the surrounding tissue during monitoring and treatment. Dipole and Loop antennas are known to offer similar advantages in that they are both balanced antennas, while the Meander antenna is likely to offer better radiation resistance. The investigation was carried out through the design of experiments and finite element modeling of the temperature field due to the AC level applied (10 or 100mA), under the geometry of each given antenna type and three material options (Titanium, Cobalt Chromium, and Macor). Finally, a multi-criteria decision-making process is applied to select the optimal design under maximum field temperature, thermal conductivity, electrical conductivity, density, and specific heat attributes. The findings suggested that the Meander design made of Titanium would allow for a maximized overall performance with minimal thermal and radiation effects.
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