First, I offer an analytic summary of the 10 main theses in Stephen Asma and Rami Gabriel’s (2019) The Emotional Mind. Second, I raise an objection about Asma and Gabriel’s assumption that the emotions have phenomenal sameness in individual psychology, across species and cultures. Third, I focus and develop a critique of Asma and Gabriel’s objections to evaluating emotions in terms of “correctness,” “aptness,” or “fittingness.” I argue that analyzing correctness is an essential task of normative inquiry in psychology, psychiatry, and moral philosophy, and it is perfectly intellectually respectable and compatible with most genealogies of the emotions.
{"title":"Emotional Correctness","authors":"O. Flanagan","doi":"10.33497/2020.winter.3","DOIUrl":"https://doi.org/10.33497/2020.winter.3","url":null,"abstract":"First, I offer an analytic summary of the 10 main theses in Stephen Asma and Rami Gabriel’s (2019) The Emotional Mind. Second, I raise an objection about Asma and Gabriel’s assumption that the emotions have phenomenal sameness in individual psychology, across species and cultures. Third, I focus and develop a critique of Asma and Gabriel’s objections to evaluating emotions in terms of “correctness,” “aptness,” or “fittingness.” I argue that analyzing correctness is an essential task of normative inquiry in psychology, psychiatry, and moral philosophy, and it is perfectly intellectually respectable and compatible with most genealogies of the emotions.","PeriodicalId":6692,"journal":{"name":"2020 Winter Simulation Conference (WSC)","volume":"60 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87691847","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
An affective approach to culture and cognition may hold the key to uniting findings across experimental psychology and, eventually, the human sciences. Many accounts of the human mind concentrate on the brain’s computational power, yet for nearly 200 million years before humans developed a capacity to reason the emotional centers of the brain were running the show. To attain a clearer picture of the evolution of mind, we challenge the cognitivist and behaviorist paradigms in psychology by exploring how the emotional capacities that we share with other animals saturate every thought and perception. Many of the distinctive social and cultural behaviors of our species, including, bonding, social learning, hierarchy, decision-making, self-identity, can be integrated if we use an affective approach.
{"title":"Précis: The Emotional Mind: The Affective Roots of Culture and Cognition","authors":"S. Asma, Rami Gabriel","doi":"10.33497/2020.winter.2","DOIUrl":"https://doi.org/10.33497/2020.winter.2","url":null,"abstract":"An affective approach to culture and cognition may hold the key to uniting findings across experimental psychology and, eventually, the human sciences. Many accounts of the human mind concentrate on the brain’s computational power, yet for nearly 200 million years before humans developed a capacity to reason the emotional centers of the brain were running the show. To attain a clearer picture of the evolution of mind, we challenge the cognitivist and behaviorist paradigms in psychology by exploring how the emotional capacities that we share with other animals saturate every thought and perception. Many of the distinctive social and cultural behaviors of our species, including, bonding, social learning, hierarchy, decision-making, self-identity, can be integrated if we use an affective approach.","PeriodicalId":6692,"journal":{"name":"2020 Winter Simulation Conference (WSC)","volume":"36 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81354253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-14DOI: 10.1109/WSC48552.2020.9384046
Georg Seidel, Ching Foong Lee, Aik Ying Tang, Soo Leen Low, Boon-Ping Gan, W. Scholl
In the semiconductor industry a reliable delivery forecast is helpful to optimize demand planning. Very often cycle time estimations for frontend, backend production, testing and transits are used to predict delivery times on product level and to determine when products have to be started to fulfill customer demands on time. Frontend production usually consumes a big portion of the cycle time of a product. Therefore a reliable cycle time estimation for a frontend production is crucial for the accuracy of the overall cycle time prediction. We compare two different methods to predict cycle times and delivery forecasts on product and lot level for a frontend production: a Big Data approach, where historical data is analyzed to predict future behavior, and a fab simulation model.
{"title":"Challenges Associated with Realization of Lot Level Fab Out Forecast in a Giga Wafer Fabrication Plant","authors":"Georg Seidel, Ching Foong Lee, Aik Ying Tang, Soo Leen Low, Boon-Ping Gan, W. Scholl","doi":"10.1109/WSC48552.2020.9384046","DOIUrl":"https://doi.org/10.1109/WSC48552.2020.9384046","url":null,"abstract":"In the semiconductor industry a reliable delivery forecast is helpful to optimize demand planning. Very often cycle time estimations for frontend, backend production, testing and transits are used to predict delivery times on product level and to determine when products have to be started to fulfill customer demands on time. Frontend production usually consumes a big portion of the cycle time of a product. Therefore a reliable cycle time estimation for a frontend production is crucial for the accuracy of the overall cycle time prediction. We compare two different methods to predict cycle times and delivery forecasts on product and lot level for a frontend production: a Big Data approach, where historical data is analyzed to predict future behavior, and a fab simulation model.","PeriodicalId":6692,"journal":{"name":"2020 Winter Simulation Conference (WSC)","volume":"8 6 1","pages":"1777-1788"},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74371607","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-14DOI: 10.1109/WSC48552.2020.9383952
Randy Paredis, S. Mierlo, H. Vangheluwe
Discrete-event modelling and simulation languages can be classified based on their world view: event scheduling, activity scanning, or process interaction. To study the semantics of these languages one may investigate the relationship between them, and in particular translate models between languages in different world views. A translation approach also lets one re-use all the simulation tooling available for the target language. We describe a translation of the classic process interaction language GPSS developed by Gordon in the early 1960s onto DEVS, a modular discrete-event modelling and simulation language with precise semantics developed by Zeigler in the late 1970s. We specify and implement a translation that produces, for each GPSS model, a behaviourally equivalent DEVS model. As GPSS has no formal semantics, there is no proof of equivalence. Rather, we describe the structure of the translation, starting from Gordon’s informal description, centered around the main data structures called chains and the scanning algorithm. We build a working prototype for a representative subset of GPSS blocks found in most tools implementing the language. Finally, we exhaustively test the translation by comparing simulation results of the generated DEVS model with a those obtained by the GPSS World simulator. GPSS World is a popular GPSS variant. We also demonstrate our approach on a small but representative example from the manufacturing domain.
{"title":"Translating Process Interaction World View Models to DEVS: GPSS to (Python(P))DEVS","authors":"Randy Paredis, S. Mierlo, H. Vangheluwe","doi":"10.1109/WSC48552.2020.9383952","DOIUrl":"https://doi.org/10.1109/WSC48552.2020.9383952","url":null,"abstract":"Discrete-event modelling and simulation languages can be classified based on their world view: event scheduling, activity scanning, or process interaction. To study the semantics of these languages one may investigate the relationship between them, and in particular translate models between languages in different world views. A translation approach also lets one re-use all the simulation tooling available for the target language. We describe a translation of the classic process interaction language GPSS developed by Gordon in the early 1960s onto DEVS, a modular discrete-event modelling and simulation language with precise semantics developed by Zeigler in the late 1970s. We specify and implement a translation that produces, for each GPSS model, a behaviourally equivalent DEVS model. As GPSS has no formal semantics, there is no proof of equivalence. Rather, we describe the structure of the translation, starting from Gordon’s informal description, centered around the main data structures called chains and the scanning algorithm. We build a working prototype for a representative subset of GPSS blocks found in most tools implementing the language. Finally, we exhaustively test the translation by comparing simulation results of the generated DEVS model with a those obtained by the GPSS World simulator. GPSS World is a popular GPSS variant. We also demonstrate our approach on a small but representative example from the manufacturing domain.","PeriodicalId":6692,"journal":{"name":"2020 Winter Simulation Conference (WSC)","volume":"33 1","pages":"2221-2232"},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73959177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-14DOI: 10.1109/WSC48552.2020.9383926
M. Rössler, Matthias Wastian, Anna Jellen, Sarah Frisch, Dominic Weinberger, P. Hungerländer, M. Bicher, N. Popper
The planning of traction unit circulations in a railway network is a very time-consuming task. In order to support the planning personnel, the paper proposes a combination of optimization, simulation and machine learning. This ensemble creates mathematically nearly optimal circulations that are also feasible in real operating procedures. An agent-based simulation model is developed that tests the circulation for its robustness against delays. The delays introduced into the system are based on predictions from a machine learning model built upon historical operational data. The paper first presents the used data and the delay prediction. Afterwards, the modeling and simulation part and the optimization are presented. At last, the interaction of simulation and optimization are described and promising results of a test case are shown.
{"title":"Simulation And Optimization Of Traction Unit Circulations","authors":"M. Rössler, Matthias Wastian, Anna Jellen, Sarah Frisch, Dominic Weinberger, P. Hungerländer, M. Bicher, N. Popper","doi":"10.1109/WSC48552.2020.9383926","DOIUrl":"https://doi.org/10.1109/WSC48552.2020.9383926","url":null,"abstract":"The planning of traction unit circulations in a railway network is a very time-consuming task. In order to support the planning personnel, the paper proposes a combination of optimization, simulation and machine learning. This ensemble creates mathematically nearly optimal circulations that are also feasible in real operating procedures. An agent-based simulation model is developed that tests the circulation for its robustness against delays. The delays introduced into the system are based on predictions from a machine learning model built upon historical operational data. The paper first presents the used data and the delay prediction. Afterwards, the modeling and simulation part and the optimization are presented. At last, the interaction of simulation and optimization are described and promising results of a test case are shown.","PeriodicalId":6692,"journal":{"name":"2020 Winter Simulation Conference (WSC)","volume":"32 1","pages":"90-101"},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74231755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-14DOI: 10.1109/WSC48552.2020.9384059
R. Barton
Metamodels are simpler computer models that are designed to mimic the input-output behavior of discrete-event or other complex simulation models. They are models of models, thus the name (provided by Jack P. C. Kleijnen). This introductory tutorial will highlight uses of metamodels, commonly used metamodel types, the linkage between metamodel type and the set of simulation model runs used to fit the metamodel, and basic issues in building and validating metamodels. The tutorial ends with a brief summary of recent research in metamodel types and use, and the implications for future metamodeling applications.
元模型是更简单的计算机模型，用于模拟离散事件或其他复杂模拟模型的输入-输出行为。它们是模型的模型，因此得名(由Jack P. C. Kleijnen提供)。本入门教程将重点介绍元模型的使用、常用的元模型类型、元模型类型与用于拟合元模型的仿真模型运行集之间的联系，以及构建和验证元模型的基本问题。本教程最后简要总结了元模型类型和使用方面的最新研究，以及对未来元建模应用程序的影响。
{"title":"Tutorial: Metamodeling for Simulation","authors":"R. Barton","doi":"10.1109/WSC48552.2020.9384059","DOIUrl":"https://doi.org/10.1109/WSC48552.2020.9384059","url":null,"abstract":"Metamodels are simpler computer models that are designed to mimic the input-output behavior of discrete-event or other complex simulation models. They are models of models, thus the name (provided by Jack P. C. Kleijnen). This introductory tutorial will highlight uses of metamodels, commonly used metamodel types, the linkage between metamodel type and the set of simulation model runs used to fit the metamodel, and basic issues in building and validating metamodels. The tutorial ends with a brief summary of recent research in metamodel types and use, and the implications for future metamodeling applications.","PeriodicalId":6692,"journal":{"name":"2020 Winter Simulation Conference (WSC)","volume":"30 1","pages":"1102-1116"},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74980600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-14DOI: 10.1109/WSC48552.2020.9383940
F. Barros
In this paper we develop an extension of the HYFLOW (Hybrid Flow System Specification) formalism, for providing rollback support to hybrid modular models. HYFLOW extension preserves formalism modularity enabling the co-simulation of hierarchical models. Rollback plays an important role in some numerical methods. Examples include predictor corrector integrators (PCIs), and zero detectors (ZDs). These methods require simulation time to move both forward and backward in order to compute better estimates for the numerical solutions. We present formalism semantics and a description of PCI and ZD methods.
{"title":"Rollback Support in Hyflow Modular Models","authors":"F. Barros","doi":"10.1109/WSC48552.2020.9383940","DOIUrl":"https://doi.org/10.1109/WSC48552.2020.9383940","url":null,"abstract":"In this paper we develop an extension of the HYFLOW (Hybrid Flow System Specification) formalism, for providing rollback support to hybrid modular models. HYFLOW extension preserves formalism modularity enabling the co-simulation of hierarchical models. Rollback plays an important role in some numerical methods. Examples include predictor corrector integrators (PCIs), and zero detectors (ZDs). These methods require simulation time to move both forward and backward in order to compute better estimates for the numerical solutions. We present formalism semantics and a description of PCI and ZD methods.","PeriodicalId":6692,"journal":{"name":"2020 Winter Simulation Conference (WSC)","volume":"68 1","pages":"1039-1050"},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74986154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-14DOI: 10.1109/WSC48552.2020.9384109
D. Sturrock
How can you make your projects successful? Modeling can certainly be fun, but it can also be quite challenging. With the new demands of Smart Factories, Digital Twins, and Digital Transformation, the challenges multiply. You want your first and every project to be successful, so you can justify continued work. Unfortunately, a simulation project is much more than simply building a model -- the skills required for success go well beyond knowing a particular simulation tool. A 35-year veteran who has done hundreds of successful projects shares important insights to enable project success. He also shares some cautions and tips to help avoid common traps leading to failure and frustration.
{"title":"Tested Success Tips for Simulation Project Excellence","authors":"D. Sturrock","doi":"10.1109/WSC48552.2020.9384109","DOIUrl":"https://doi.org/10.1109/WSC48552.2020.9384109","url":null,"abstract":"How can you make your projects successful? Modeling can certainly be fun, but it can also be quite challenging. With the new demands of Smart Factories, Digital Twins, and Digital Transformation, the challenges multiply. You want your first and every project to be successful, so you can justify continued work. Unfortunately, a simulation project is much more than simply building a model -- the skills required for success go well beyond knowing a particular simulation tool. A 35-year veteran who has done hundreds of successful projects shares important insights to enable project success. He also shares some cautions and tips to help avoid common traps leading to failure and frustration.","PeriodicalId":6692,"journal":{"name":"2020 Winter Simulation Conference (WSC)","volume":"12 1","pages":"1143-1151"},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77612942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-14DOI: 10.1109/WSC48552.2020.9384041
J. A. B. Montevechi, Carlos Henrique dos Santos, G. Gabriel, Mona Liza Moura de Oliveira, José Antonio de Queiroz, F. Leal
In Industry 4.0, computer simulation has been changing its application. Simulation models focused on specific analysis give space to models with automation degree and they are integrated with different systems. This integration favors the constant model updating based on variations in the real system, enabling faster decision making. In this way, simulation models are part of cyber-physical systems since they represent a virtual version of the real process. In this context, the present work proposed a method adapted from Montevechi et al. (2010) to carry out simulation projects according to Industry 4.0 principles. Finally, the proposed method was applied in a supply material process in an aeronautical industry, validating it and showing how the simulation works in the Industry 4.0.
{"title":"A Method Proposal for Conducting Simulation Projects in Industry 4.0: A Cyber-Physical System in an Aeronautical Industry","authors":"J. A. B. Montevechi, Carlos Henrique dos Santos, G. Gabriel, Mona Liza Moura de Oliveira, José Antonio de Queiroz, F. Leal","doi":"10.1109/WSC48552.2020.9384041","DOIUrl":"https://doi.org/10.1109/WSC48552.2020.9384041","url":null,"abstract":"In Industry 4.0, computer simulation has been changing its application. Simulation models focused on specific analysis give space to models with automation degree and they are integrated with different systems. This integration favors the constant model updating based on variations in the real system, enabling faster decision making. In this way, simulation models are part of cyber-physical systems since they represent a virtual version of the real process. In this context, the present work proposed a method adapted from Montevechi et al. (2010) to carry out simulation projects according to Industry 4.0 principles. Finally, the proposed method was applied in a supply material process in an aeronautical industry, validating it and showing how the simulation works in the Industry 4.0.","PeriodicalId":6692,"journal":{"name":"2020 Winter Simulation Conference (WSC)","volume":"75 2 1","pages":"2731-2742"},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77651079","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-14DOI: 10.1109/WSC48552.2020.9384005
Paolo Bocciarelli, A. D’Ambrogio, Umut Durak
Modeling & Simulation (M&S) techniques have proven their effectiveness for several intended uses, from complex systems analysis to innovative training activities. The emerging M&S-as-a-Service (MSaaS) paradigm deals with the adoption of service-orientation and cloud computing to ease the development and provision of M&S applications. Due to its relevance for the military domain, the NATO MSG-164 is investigating how the MSaaS potential can be exploited to support NATO objectives. In this context, this work proposes ArTIC-MS, a MSaaS architecture that aims at investigating innovative approaches to ease the building of inter-cloud MSaaS applications. ArTIC-MS’s main objective is to provide an effective interoperability among M&S services provided by different nations to seamlessly build complex MSaaS applications. Specifically, the work addresses the use of the TOSCA (Topology and Orchestration Specification for Cloud Applications) standard, and also discusses how ArTIC-MS may cope with the orchestration of M&S services available on non-TOSCA infrastructures.
{"title":"ArTIC-M&S: An Architecture for Tosca-Based Inter-Cloud Modeling and Simulation","authors":"Paolo Bocciarelli, A. D’Ambrogio, Umut Durak","doi":"10.1109/WSC48552.2020.9384005","DOIUrl":"https://doi.org/10.1109/WSC48552.2020.9384005","url":null,"abstract":"Modeling & Simulation (M&S) techniques have proven their effectiveness for several intended uses, from complex systems analysis to innovative training activities. The emerging M&S-as-a-Service (MSaaS) paradigm deals with the adoption of service-orientation and cloud computing to ease the development and provision of M&S applications. Due to its relevance for the military domain, the NATO MSG-164 is investigating how the MSaaS potential can be exploited to support NATO objectives. In this context, this work proposes ArTIC-MS, a MSaaS architecture that aims at investigating innovative approaches to ease the building of inter-cloud MSaaS applications. ArTIC-MS’s main objective is to provide an effective interoperability among M&S services provided by different nations to seamlessly build complex MSaaS applications. Specifically, the work addresses the use of the TOSCA (Topology and Orchestration Specification for Cloud Applications) standard, and also discusses how ArTIC-MS may cope with the orchestration of M&S services available on non-TOSCA infrastructures.","PeriodicalId":6692,"journal":{"name":"2020 Winter Simulation Conference (WSC)","volume":"63 1","pages":"2018-2029"},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77675443","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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