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Vasileios Thomopoulos and Kostas Tsichlas
In this research, we present the first steps toward developing a data-driven agent-based model (ABM) specifically designed for simulating infectious disease dynamics in Greece. Amidst the ongoing COVID-19 pandemic caused by SARS-CoV-2, this research hold...
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Rajiv Paudel and Arika Ligmann-Zielinska
Agent-based model (ABM) development needs information on system components and interactions. Qualitative narratives contain contextually rich system information beneficial for ABM conceptualization. Traditional qualitative data extraction is manual, comp...
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Yonghua Huang, Zhongyang Guo, Hao Chu and Raja Sengupta
China?s university dormitories have high population densities, which can result in a large number of casualties because of crowding and stampedes during emergency evacuations. It is therefore important to plan properly for evacuations by mitigating the e...
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Carly Lawyer, Li An and Erfan Goharian
Global warming and climate variations are expected to alter hydrologic conditions and exacerbate flooding, primarily through increasingly frequent and intense storm events and sea-level rise. The interactions between coastlines and their inhabitants arou...
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David Romero and Paula Escudero
This study assesses the impact of incorporating an adaptive learning mechanism into an agent-based model simulating behavior on a university campus during a pandemic outbreak, with the particular case of the COVID-19 pandemic. Our model not only captures...
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Shubhankar Sengupta, Dmitry V. Kovalevsky, Laurens M. Bouwer and Jürgen Scheffran
Coastal flood risk and sea-level rise require decisions on investment in coastal protection and, in some cases, the relocation of urban areas. Models that formalize the relations between flooding costs, protective investments, and relocation can improve ...
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Juseong Lee, Mihaela Mitici, Henk A. P. Blom, Pierre Bieber and Floris Freeman
The increasing use of on-board sensor monitoring and data-driven algorithms has stimulated the recent shift to data-driven predictive maintenance for aircraft. This paper discusses emerging challenges for data-driven predictive aircraft maintenance. We i...
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Sardorbek Musayev, Jonathan Mellor, Tara Walsh and Emmanouil Anagnostou
Effective weather forecast information helps smallholder farmers improve their adaptation to climate uncertainties and crop productivity. The main objective of this study was to assess the impact of weather forecast adoption on crop productivity. We coup...
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Mattia Pellegrino, Gianfranco Lombardo, Stefano Cagnoni and Agostino Poggi
This paper presents an approach for the modeling and the simulation of the spreading of COVID-19 based on agent-based modeling and simulation (ABMS). Our goal is not only to support large-scale simulations but also to increase the simulation resolution. ...
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Sultanah Mohammed Alshammari, Mohammed Hassan Ba-Aoum, Nofe Ateq Alganmi and Arwa AbdulAziz Allinjawi
The religious pilgrimage of Hajj is one of the largest annual gatherings in the world. Every year approximately three million pilgrims travel from all over the world to perform Hajj in Mecca in Saudi Arabia. The high population density of pilgrims in con...
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Casey C. Bennett
This paper discusses the creation of an agent-based simulation model for interactive robotic faces, built based on data from physical human?robot interaction experiments, to explore hypotheses around how we might create emergent robotic personality trait...
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Julio Amézquita-López, Jorge Valdés-Atencio and David Angulo-García
The study of patterns of urban mobility is of utter importance for city growth projection and development planning. In this paper, we analyze the topological aspects of the street network of the coastal city of Cartagena de Indias employing graph theory ...
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Huihui Wang, Weihua Zeng and Ruoxin Cao
The jobs?housing balance concerns the spatial relationship between the number of jobs and housing units within a given geographical area. Due to the separation of jobs and housing, spatial dislocations have occurred in large cities, which have resulted i...
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Dana Kaziyeva, Martin Loidl and Gudrun Wallentin
Transport planning strategies regard cycling promotion as a suitable means for tackling problems connected with motorized traffic such as limited space, congestion, and pollution. However, the evidence base for optimizing cycling promotion is weak in mos...
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Jeon-Young Kang and Jared Aldstadt
(1) Background: The stochastic nature of agent-based models (ABMs) may be responsible for the variability of simulated outputs. Multiple simulation runs (i.e., replicates) need to be performed to have enough sample size for hypothesis testing and validat...
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Adin Mekic, Seyed Sahand Mohammadi Ziabari and Alexei Sharpanskykh
Discretionary activities such as retail, food, and beverages generate a significant amount of non-aeronautical revenue within the aviation industry. However, they are rarely taken into account in computational airport terminal models. Since discretionary...
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Ehsan Shirazi and Mohammad Zolghadr
This paper studies a design of a puzzle-based storage system. We developed an item retrieval algorithm for our system which has three advantages over the previous counterparts in the literature: (i) we can retrieve items from all sides of our storage sys...
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Stefano Mariani and Andrea Omicini
Multi-agent systems (MAS) are built around the central notions of agents, interaction, and environment. Agents are autonomous computational entities able to pro-actively pursue goals, and re-actively adapt to environment change. In doing so, they leverag...
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Stef Janssen, Diogo Matias and Alexei Sharpanskykh
Airports are attractive targets for terrorists, as they are designed to accommodate and process large amounts of people, resulting in a high concentration of potential victims. A popular method to mitigate the risk of terrorist attacks is through securit...
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Shih-Hsien Tseng and Tien Son Nguyen
In the ?Age of the Internet?, fake news and rumor-mongering have emerged as some of the most critical factors that affect our online social lives. For example, in the workplace, rumor spreading runs rampant during times when employees may be plagued with...
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