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Behavioral Modeling and Prediction in Social Perception and Computing: A Survey

Articolo
Data di Pubblicazione:
2022
Abstract:
More data are generated through interaction between cyber space, physical space, and social space thanks to mobile network technology, giving birth to the so-called cyber-physical social intelligent ecosystem (C & P-SIE). This survey studies the development of physical social intelligence. First, it classifies and discusses the behavior modeling, learning, and adaptation applications of C & P-SIE from intelligent transportation, healthcare, public service, economy, and social networking. Then, it prospects the application of behavior modeling in the C & P-SIE from the perspectives of information security, data-driven techniques, and modeling learning under cooperative artificial intelligence technologies. The research provides a theoretical basis and new opportunities for the digital and intelligent development of smart cities and social systems.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Transportation; Social intelligence; Computational modeling; Social networking (online); Real-time systems; Adaptation models; Roads; Artificial intelligence (AI) algorithm; behavior modeling; cyber-physical social intelligent ecosystem (C&P-SIE); data-driven; Digital Twins; intelligent transportation
Elenco autori:
Guerrieri, Antonio
Autori di Ateneo:
GUERRIERI ANTONIO
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/463514
Pubblicato in:
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
Journal
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