Progresses in Artificial Intelligence and Neural Systems

Marcos Faundez-Zanuy (Hrsg.), Anna Esposito (Hrsg.), Eros Pasero (Hrsg.), Francesco Carlo Morabito (Hrsg.)

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Springer Singapore img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Allgemeines, Lexika

Beschreibung

This book provides an overview of the current advances in artificial intelligence and neural nets. Artificial intelligence (AI) methods have shown great capabilities in modelling, prediction and recognition tasks supporting human–machine interaction.

At the same time, the issue of emotion has gained increasing attention due to its relevance in achieving human-like interaction with machines. The real challenge is taking advantage of the emotional characterization of humans’ interactions to make computers interfacing with them emotionally and socially credible.

The book assesses how and to what extent current sophisticated computational intelligence tools might support the multidisciplinary research on the characterization of appropriate system reactions to human emotions and expressions in interactive scenarios. Discussing the latest recent research trends, innovative approaches and future challenges in AI from interdisciplinary perspectives, it is a valuable resource for researchers and practitioners in academia and industry. 

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Schlagwörter

Social behaviour and Context, User Modelling, Health & Well Being, Neural Networks, Complex Human-Computer Interfaces, Social Signal Processing, Situated Human-Computer Interaction (HCI), Biometric Data, Artificial Intelligence, Machine Leaning Methods, Daily Life Activities