104   Artículos

 
en línea
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... ver más
Revista: Applied System Innovation    Formato: Electrónico

 
en línea
Bernhard Jonathan Sattler, John Friesen, Andrea Tundis and Peter F. Pelz    
Current challenges, such as climate change or military conflicts, show the great importance of urban supply infrastructures. In this context, an open question is how different scenarios and crises can be studied in silico to assess the interaction betwee... ver más
Revista: Water    Formato: Electrónico

 
en línea
Eric Fotsing,Severin Vianey Tuekam Kakeu,Eric Desire Kameni,Marcellin Julius Antonio Nkenlifack     Pág. 16 - 37
Nowadays, there is an increasing need to rapidly build more realistic models to solve environmental problems in an interdisciplinary context. In particular, agent-based and spatial modeling have proven to be useful for understanding land use and land cov... ver más
Revista: Complex Systems Informatics and Modeling Quarterly    Formato: Electrónico

 
en línea
Basil Vitins, Alexander Erath     Pág. 241 - 265
Destination choice models are a key component of any transport and land-use model. Applications in agent-based models allow for destination choice on an individual level including personal variables, like trip purpose, or situational variables. Commonly ... ver más
Revista: Journal of Transport and Land Use    Formato: Electrónico

 
en línea
Christopher J. Lynch, Erik J. Jensen, Virginia Zamponi, Kevin O?Brien, Erika Frydenlund and Ross Gore    
Large language models (LLMs) excel in providing natural language responses that sound authoritative, reflect knowledge of the context area, and can present from a range of varied perspectives. Agent-based models and simulations consist of simulated agent... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Giuseppe Vizzari and Thomas Cecconello    
Pedestrian simulation is a consolidated but still lively area of research. State of the art models mostly take an agent-based perspective, in which pedestrian decisions are made according to a manually defined model. Reinforcement learning (RL), on the o... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
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 ... ver más
Revista: Urban Science    Formato: Electrónico

 
en línea
Joo Young Kim and Young Ook Kim    
Numerous pedestrians interact with the subway station space by finding entrances into this closed area to use the subway system; further, they may use transfer transportation facilities or the complex functions nearby, such as commercial. Many studies ex... ver más
Revista: Buildings    Formato: Electrónico

 
en línea
Alexander Taranik,Sergey Lebedev,Igor Litvinenko,Grigory Baydin,Marina Belova,Olga Pavlenko,Elena Besova     Pág. 39 - 52
The paper analyzes the spread of COVID-19 in 2020-2021 in 8 regions of the Russian Federation: Moscow, Saint-Petersburg, Krasnodar Territory, Stavropol Territory, Bashkortostan Republic, Sverdlovsk Region, Krasnoyarsk Territory, and Primorye Territory. A... ver más
Revista: International Journal of Open Information Technologies    Formato: Electrónico

 
en línea
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... ver más
Revista: Algorithms    Formato: Electrónico

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