TY  - GEN
N2  - 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.
DO  - 10.1007/978-981-15-5093-5
DO  - doi
AB  - 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.
T1  - Progresses in artificial intelligence and neural systems /
AU  - Esposito, Anna.
AU  - Faúndez Zanuy, Marcos.
AU  - Morabito, F. C.
AU  - Pasero, Eros.
VL  - v. 184
CN  - Q335
ID  - 1431666
KW  - Artificial intelligence.
KW  - Neural networks (Computer science)
KW  - Intelligence artificielle.
KW  - Réseaux neuronaux (Informatique)
SN  - 9789811550935
SN  - 981155093X
SN  - 9789811550942
SN  - 9811550948
SN  - 9789811550959
SN  - 9811550956
TI  - Progresses in artificial intelligence and neural systems /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-15-5093-5
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-15-5093-5
ER  -