Academic literature on the topic 'Social simulation'
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Journal articles on the topic "Social simulation"
Dickinson, Melanie, Noah Wardrip-Fruin, and Michael Mateas. "Social Simulation for Social Justice." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 13, no. 2 (June 25, 2021): 61–68. http://dx.doi.org/10.1609/aiide.v13i2.12982.
Full textZayceva, Ol'ga, and Pavel Katyshev. "Social Parameters in the Genre of Communicative Simulation." Virtual Communication and Social Networks 2023, no. 4 (June 2, 2023): 215–21. http://dx.doi.org/10.21603/2782-4799-2023-2-4-215-221.
Full textSquazzoni, Flaminio, Wander Jager, and Bruce Edmonds. "Social Simulation in the Social Sciences." Social Science Computer Review 32, no. 3 (December 6, 2013): 279–94. http://dx.doi.org/10.1177/0894439313512975.
Full textBoskma, P. "SOCIAL IMPACT ASSESSMENT BY SOCIAL SIMULATION." Impact Assessment 4, no. 3-4 (March 1986): 133–48. http://dx.doi.org/10.1080/07349165.1986.9725781.
Full textBadcock, Christopher, Nigel Gilbert, and Jim Doran. "Simulating Societies: The Computer Simulation of Social Phenomena." British Journal of Sociology 46, no. 3 (September 1995): 544. http://dx.doi.org/10.2307/591863.
Full textBollen, Kenneth A., Nigel Gilbert, and Jim Doran. "Simulating Societies: The Computer Simulation of Social Phenomena." Social Forces 74, no. 2 (December 1995): 745. http://dx.doi.org/10.2307/2580509.
Full textSteinmetz, Janina, Brittany M. Tausen, and Jane L. Risen. "Mental Simulation of Visceral States Affects Preferences and Behavior." Personality and Social Psychology Bulletin 44, no. 3 (November 21, 2017): 406–17. http://dx.doi.org/10.1177/0146167217741315.
Full textAzad, Sasha, Jennifer Wellnitz, Luis Garcia, and Chris Martens. "Anthology: A Social Simulation Framework." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 18, no. 1 (October 11, 2022): 224–31. http://dx.doi.org/10.1609/aiide.v18i1.21967.
Full textTOKUYASU, Akira. "Is Social Simulation Possible?" TRENDS IN THE SCIENCES 17, no. 2 (2012): 2_54–2_57. http://dx.doi.org/10.5363/tits.17.2_54.
Full textBronson, Richard, and Chanoch Jacobsen. "Simulation and social theory." SIMULATION 47, no. 2 (August 1986): 58–62. http://dx.doi.org/10.1177/003754978604700202.
Full textDissertations / Theses on the topic "Social simulation"
MUKAI, Naoto, Masakazu IKEZAKI, and Toyohide WATANABE. "Simulation Analysis for Social Systems." INTELLIGENT MEDIA INTEGRATION NAGOYA UNIVERSITY / COE, 2005. http://hdl.handle.net/2237/10432.
Full textMeleady, Rose. "Simulating social dilemmas : promoting cooperative behaviour through strategies of mental simulation." Thesis, University of Kent, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.633829.
Full textCorley, Courtney David. "Social Network Simulation and Mining Social Media to Advance Epidemiology." Thesis, University of North Texas, 2009. https://digital.library.unt.edu/ark:/67531/metadc11053/.
Full textCorley, Courtney D. Mikler Armin. "Social network simulation and mining social media to advance epidemiology." [Denton, Tex.] : University of North Texas, 2009. http://digital.library.unt.edu/permalink/meta-dc-11053.
Full textRicks, Brian C. "Improving Crowd Simulation with Optimal Acceleration Angles, Movement on 3D Surfaces, and Social Dynamics." BYU ScholarsArchive, 2013. https://scholarsarchive.byu.edu/etd/3566.
Full textDilday, Chester Daniel. "Developing reflective social policy decision-making through computer-simulation /." The Ohio State University, 1989. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487598303840861.
Full textZhao, Jijun. "Analysis of complex social systems by agent-based simulation." Diss., The University of Arizona, 2005. http://hdl.handle.net/10150/280763.
Full textAbbasian, Hosseini Seyed Alireza. "Social and Engineering Aspects of Construction Site Management using Simulation and Social Network Analysis." Thesis, North Carolina State University, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10110533.
Full textThe crews/actors/subs during a construction project make relationship and communicate with each other on the jobsite primarily when they work in a task sequence or when they work in the same working area at the same time. These interdependencies can have various impacts on their performance, the decisions their supervisor make and their action from both engineering and social aspects. The main focus of the past research is on the project parties’ relationship based on the information exchange and formal communication, while the research pertaining to the interpretation and investigation of the construction crews/trades’ interdependencies during the construction project is very limited. How are the construction jobsite actors connected in a construction jobsite? How do the existing interdependencies among them affect their performance? And how can understanding these interdependencies be beneficial for construction site managers? The primary goal of this research is to better understand the existing interdependencies among the construction crews/trades/subs and its impact. Particularly, the objectives of this research are to: 1) develop the jobsite social network of construction crews/trades and quantify its impact, 2) investigate the impact of social conformity on the performance of construction crews/trades, 3) identify the improvement direction (benchmarks) for inefficient construction crews/trades, and 4) investigate the cost/benefit of low or high reliable construction crews/trades and to develop a new educational version of Parade Game.
First, social network analysis (SNA) is implemented to develop a technique to construct the dynamic jobsite social network of crews/trades in a project and quantify its impact through the network centrality analysis. The results of a case study are presented. Then, SNA and social norm analysis are combined as a method to measure conformity, one of the main social network influences types that results in a change of performance/behavior in order to fit in a group, at construction crew/trade level and demonstrate how it can play role in the performance of crews/trades/subs particularly in their work plan reliability through two case studies. Then, inspired by social learning phenomenon, data envelopment analysis and SNA is combined to develop a procedure that can identify the improvement direction for the inefficient crews/trades/subs in a construction project. At the end, the research concentrates on the engineering aspects of the jobsite interdependencies by developing a simulation model, as a new educational version of Parade Game, that uses different variability levels and the corresponding costs at different work stations to investigate the relationship between the interdependencies and crews/trades’ variability/reliability.
Results demonstrate that the performance of construction crews/trades is under the influence of the social aspect of the interdependencies as well as the engineering aspect. They show that there is an association between influences a crew/trade/sub receives from the network and his/her performance. Results of case studies show that the subcontractors follow the performance norm in the project and their tendency to follow the norms of their neighborhood is higher than their willingness to follow the project norm. Parade Game simulation results also show that the production will enhance if the reliability increases and the investment made to improve reliability will return in most of the scenarios.
This research is significant and valuable as it looks at construction jobsite interdependencies from an exclusively analytical perspective, which has not been done previously. Previous research also did not investigate the social aspects of the construction crews/trades/subs interdependencies. Construction personnel at every level of management are constantly planning and trying to figure out how best to manage and coordinate the construction crews/trades/subs. A better understanding of the existing jobsite interdependencies will help project managers to control it through better planning and leadership, consequently increasing jobsite productivity.
Bourgais, Mathieu. "Vers des agents cognitifs, affectifs et sociaux dans la simulation." Thesis, Normandie, 2018. http://www.theses.fr/2018NORMIR20/document.
Full textOver the last few years, the use of agent-based simulations to study social systems has spread to many domains (e.g. geography, ecology, sociology, economy). These simulations aim to reproduce real life situations involving human beings and thus need to integrate complex agents to match the behavior of the people simulated. Therefore, notions such as cognition, emotions, personality, social relations or norms have to be taken into account, but currently there is no agent architecture that could incorporate all these features and be used by the majority of modelers, including those with low levels of skills in programming. In this thesis, the BEN (Behavior with Emotions and Norms) architecture is introduced to tackle this issue. It is a modular architecture based on the BDI model of cognition featuring modules for adding emotions, emotional contagion, personality, social relations and norms to agent behavior. These behavioral dimensions are formalised in a way so they may operate together to produce a believable behavior in the context of social simulations. The architecture is implemented into the GAMA simulation platform in order to make it usable by the social simulation community. Finally, BEN is used to study two cases of evacuation of a nightclub on fire, showing it is currently usable throught its implementation into GAMA and it enables modelers to reproduce real life situations involving human actors
Helmhout, Jan Martin. "The social cognitive actor a multi-actor simulation of organisations /." [S.l. : [Groningen : s.n.] ; University Library Groningen] [Host], 2006. http://irs.ub.rug.nl/ppn/297984268.
Full textBooks on the topic "Social simulation"
Nigel, Gilbert G., and Doran Jim, eds. Simulating societies: The computer simulation of social phenomena. London: UCL Press, 1994.
Find full textAhrweiler, Petra, and Martin Neumann, eds. Advances in Social Simulation. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-61503-1.
Full textCzupryna, Marcin, and Bogumił Kamiński, eds. Advances in Social Simulation. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-92843-8.
Full textVerhagen, Harko, Melania Borit, Giangiacomo Bravo, and Nanda Wijermans, eds. Advances in Social Simulation. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-34127-5.
Full textKamiński, Bogumił, and Grzegorz Koloch, eds. Advances in Social Simulation. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-39829-2.
Full textSimulation and social theory. London: Sage, 2001.
Find full textSquazzoni, Flaminio, ed. Advances in Social Simulation. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-34920-1.
Full textDignum, Frank, ed. Social Simulation for a Crisis. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-76397-8.
Full textJager, Wander, Rineke Verbrugge, Andreas Flache, Gert de Roo, Lex Hoogduin, and Charlotte Hemelrijk, eds. Advances in Social Simulation 2015. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-47253-9.
Full textGilbert, G. Nigel. Simulation for the social scientist. Buckingham: Open University Press, 1999.
Find full textBook chapters on the topic "Social simulation"
Davis, Peter, and Roy Lay-Yee. "Simulation." In Computational Social Sciences, 81–95. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-04786-3_7.
Full textKÜppers, Günter. "Computer Simulation: Practice, Epistemology, and Social Dynamics." In Simulation, 3–22. Dordrecht: Springer Netherlands, 2006. http://dx.doi.org/10.1007/1-4020-5375-4_1.
Full textTroitzsch, Klaus G. "Multilevel Simulation." In Social Science Microsimulation, 107–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-662-03261-9_5.
Full textDavidsson, Paul, and Harko Verhagen. "Social Phenomena Simulation." In Encyclopedia of Complexity and Systems Science, 1–7. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-3-642-27737-5_498-5.
Full textDavidsson, Paul, and Harko Verhagen. "Social Phenomena Simulation." In Encyclopedia of Complexity and Systems Science, 1–6. Berlin, Heidelberg: Springer Berlin Heidelberg, 2017. http://dx.doi.org/10.1007/978-3-642-27737-5_498-6.
Full textDavidsson, Paul, and Harko Verhagen. "Social Phenomena Simulation." In Computational Complexity, 2999–3003. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-1800-9_185.
Full textDavidsson, Paul, and Harko Verhagen. "Social Phenomena Simulation." In Encyclopedia of Complexity and Systems Science, 8375–79. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-30440-3_498.
Full textDavidsson, Paul, and Harko Verhagen. "Social Phenomena Simulation." In Complex Social and Behavioral Systems, 819–24. New York, NY: Springer US, 2020. http://dx.doi.org/10.1007/978-1-0716-0368-0_498.
Full textTurner, Andy. "GENESIS Social Simulation." In Data Driven e-Science, 387–98. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-8014-4_30.
Full textTellez-Giron, Jonathan, and Matías Alvarado. "Concurrency Simulation in Soccer." In Social Robotics, 961–70. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47437-3_94.
Full textConference papers on the topic "Social simulation"
Duncan, Roderick, Luisa Perez-Mujica, and Terry Bossomaier. "Simulating Social Networks In Social Marketing." In 28th Conference on Modelling and Simulation. ECMS, 2014. http://dx.doi.org/10.7148/2014-0032.
Full text"Modeling Marginalization: Emergence, Social Physics, and Social Ethics of Bullying." In 2020 Spring Simulation Conference. Society for Modeling and Simulation International (SCS), 2020. http://dx.doi.org/10.22360/springsim.2020.hsaa.005.
Full text"Modeling and Simulating Pedestrian Social Group Behavior with Heterogeneous Social Relationships." In 2020 Spring Simulation Conference. Society for Modeling and Simulation International (SCS), 2020. http://dx.doi.org/10.22360/springsim.2020.hsaa.004.
Full textAlt, Jonathan K., and Stephen Lieberman. "Representing dynamic social networks in discrete event social simulation." In 2010 Winter Simulation Conference - (WSC 2010). IEEE, 2010. http://dx.doi.org/10.1109/wsc.2010.5679046.
Full text"Simulating Complex Social-behavioral Systems." In 2019 Spring Simulation Conference. Society for Modeling and Simulation International (SCS), 2019. http://dx.doi.org/10.22360/springsim.2019.anss.003.
Full textCoelho, Helder. "Social Simulation, Seeing Ahead." In 2012 Third Brazilian Workshop on Social Simulation (BWSS). IEEE, 2012. http://dx.doi.org/10.1109/bwss.2012.27.
Full textKavak, Hamdi, Joon-Seok Kim, Andrew Crooks, Dieter Pfoser, Carola Wenk, and Andreas Züfle. "Location-Based Social Simulation." In SSTD '19: 16th International Symposium on Spatial and Temporal Databases. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3340964.3340995.
Full textZhu, Haibin. "Social Simulation with RBC." In 2020 IEEE International Conference on Human-Machine Systems (ICHMS). IEEE, 2020. http://dx.doi.org/10.1109/ichms49158.2020.9209455.
Full textEpstein, Joshua M. "Agent_Zero and generative social science." In 2015 Winter Simulation Conference (WSC). IEEE, 2015. http://dx.doi.org/10.1109/wsc.2015.7408301.
Full textNissen, Volker, and Danilo Saft. "Social emergence in organisational contexts." In the 2010 Spring Simulation Multiconference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1878537.1878548.
Full textReports on the topic "Social simulation"
Desmet, Raphael, Alain Jousten, Sergio Perelman, and Pierre Pestieau. Micro-Simulation of Social Security Reforms in Belgium. Cambridge, MA: National Bureau of Economic Research, February 2003. http://dx.doi.org/10.3386/w9494.
Full textCui, Xiaohui, and Thomas E. Potok. Particle Swarm Social Adaptive Model for Multi-Agent Based Insurgency Warfare Simulation. Office of Scientific and Technical Information (OSTI), December 2009. http://dx.doi.org/10.2172/984372.
Full textBreisinger, Clemens, Juneweenex Mbuthia, Lensa Omune, Joshua Laichena, Daniel Omanyo, and Benson Kiriga. Updated social accounting matrices for Kenya: An instrument for policy analysis and simulation. Washington, DC: International Food Policy Research Institute, 2023. http://dx.doi.org/10.2499/p15738coll2.136774.
Full textLanham, Michael J., Geoffrey P. Morgan, and Kathleen M. Carley. Social Network Modeling and Simulation of Integrated Resilient Command and Control (C2) in Contested Cyber Environments. Fort Belvoir, VA: Defense Technical Information Center, December 2011. http://dx.doi.org/10.21236/ada558845.
Full textFagan, Matt, and Naomi Schwartz. Exploring the Social and Ecological Trade-offs in Tropical Reforestation: A Role-Playing Exercise. American Museum of Natural History, 2018. http://dx.doi.org/10.5531/cbc.ncep.0108.
Full textEcker, Olivier, Harold Alderman, Andrew R. Comstock, Derek D. Headey, Kristi Mahrt, and Angga Pradesha. Mitigating poverty and undernutrition through social protection: A simulation analysis of the COVID-19 pandemic in Bangladesh and Myanmar. Washington, DC: International Food Policy Research Institute, 2023. http://dx.doi.org/10.2499/p15738coll2.136593.
Full textVan der Auwera, Michiel, Arthur van de Meerendonk, and Anand Ramesh Kumar. COVID-19 and Social Protection in Asia and the Pacific: Projected Costs for 2020–2030. Asian Development Bank, December 2021. http://dx.doi.org/10.22617/wps210480-2.
Full textEcker, Olivier, Harold Alderman, Andrew R. Comstock, Derek D. Headey, Kristi Mahrt, and AnggaAngga Pradesha. Mitigating poverty and undernutrition through social protection: A simulation analysis of the COVID-19 pandemic in Bangladesh, Myanmar, and Indonesia. Washington, DC: International Food Policy Research Institute, 2022. http://dx.doi.org/10.2499/p15738coll2.136599.
Full textFelix, Meier, Wilfried Rickels, Christian Traeger, and Martin Quaas. Working paper published on NETs in strategically interacting regions based on simulation and analysis in an extended ACE model. OceanNets, 2022. http://dx.doi.org/10.3289/oceannets_d1.5.
Full textMeier, Felix, Wilfried Rickels, Christian Traeger, and Martin Quaas. Working paper published on NETs in strategically interacting regions based on simulation and analysis in an extended ACE model. OceanNets, September 2023. http://dx.doi.org/10.3289/oceannets_d1.5_v2.
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