MOSI-AGIL-CM. Modelado Social de Inteligencia Ambiental Aplicado a Grandes Instalaciones
Fecha de comienzo
2014-10-01
Fecha de finalización
2017-03-31
Descripción
This project has been partially supported by the Autonomous Region of Madrid through programme MOSI-AGIL-CM (grant P2013/ICE-3019, co-funded by EU Structural Funds FSE and FEDER)
Publications
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Guillermo Fernández. (2017). Design and Implementation of an Agent-based Crowd Simulation Model for Evacuation of University Buildings Using Python. Trabajo de fin de carrera (TFG). ETSI Telecomunicación, Universidad Politécnica de Madrid.
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Eduardo Merino. (2017). Design and implementation of an Agent-based Social Simulation Model of Energy Related Occupant Behaviour in Buildings. Trabajo de fin de carrera (TFG). ETSI Telecomunicación, Universidad Politécnica de Madrid.
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Pablo Aznar. (2017). Design and Development of an Agent-based Social Simulation Visualization Tool for Indoor Crowd Analytics based on the library Three.js. Trabajo de fin de carrera (TFG). ETSI Telecomunicación, Universidad Politécnica de Madrid.
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Ganggao Zhu & Carlos A. Iglesias. (2017). Computing Semantic Similarity of Concepts in Knowledge Graphs. Transactions on Knowledge and Data Engineering, 29 (1), 72-85.
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Emilio Serrano & Carlos A. Iglesias. (2016). Validating viral marketing strategies in Twitter via agent-based social simulation. Expert Systems with Applications, 50, 40-50.
