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Title:
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Large-scale social simulation, dealing with complexity challenges in high performance environments
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Author:
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Montañola Sales, Cristina; Rubio Campillo, Xavier; Casanovas Garcia, Josep; Cela Espín, José M.; Kaplan Marcusan, Adriana
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Other authors:
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Facultat d'Informàtica de Barcelona; Universitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa; Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors; Universitat Politècnica de Catalunya. LIAM - Laboratori de Modelització i Anàlisi de la Informació; Universitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions |
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Abstract:
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Advances on information technology in the past decades have provided new tools to assist scientists in the study of social and natural phenomena. Agent-based modeling techniques have flourished recently, encouraging the introduction of computer simulations to examine behavioral patterns in complex human and biological systems. Real-world social dynamics are very complex, containing billions of interacting individuals and an important amount of data (both spatial and social). Dealing with large-scale agent-based models is not an easy task and encounters several challenges. The design of strategies to overcome these challenges represents an opportunity for high performance parallel and distributed implementation. This chapter examines the most relevant aspects to deal with large-scale agent-based simulations in social sciences and revises the developments to confront technological issues. |
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Abstract:
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Peer Reviewed |
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Subject(s):
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-Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Agents intel·ligents
-Simulation methods
-Multiagent systems
-Social and natural phenomena
-Agent-based modeling techniques
-Computer simulation
-Social dynamics
-Simulació, Mètodes de
-Sistemes multiagent |
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Rights:
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Document type:
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Article - Submitted version
Book Part |
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Published by:
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IGI Global Inc
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