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Titlebook: Advances in Social Simulation; Proceedings of the 1 Flaminio Squazzoni Conference proceedings 2023 The Editor(s) (if applicable) and The Au

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https://doi.org/10.1007/978-1-4614-6154-8ion (taken from Open-Street Map), accumulative traffic congestion, and simulated road conditions. The simulation calculates and records the location of all agents and enables the user to identify and analyze different evacuation scenarios, compare evacuation sequences, map and identify road bottlene
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Hamid Reza Ghorbani,Mahmoud Reza Hashemild and the model. This method could replace unobservable uncertainty in estimation in the real world with “observable uncertainty in the model.” Experiments are conducted to analyze the uncertainty of the rate of asymptomatically infected people and human flow. Finally, we discuss the results of exp
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Leszek Borzemski,Grażyna Suchackaarious research areas. By focusing on the key role of agent-based modeling, we argue that social simulation has a unique position in the wider data science area. This is because it can enrich the predominantly inductive, data-driven, pattern oriented approach of computational social science with ded
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Bartłomiej Płaczek,Marcin Bernasa way that reacts flexibly to differences in the reliability of content versus source vigilance strategies. Furthermore, the model explores how the system reacts in situations where the utility of the information provided is either unrelated to its accuracy or, even, is inversely proportional to it.
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Krzysztof Zatwarnicki,Anna Zatwarnicka-face cooperation. However, in early history, groups of people did not exceed hundreds of individuals, and cooperation existed at low levels. So how did human societies evolve from small groups known by face and name into the huge anonymous groups of today? Our model tries to answer this question ba
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