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Principles and Practice of Multi-Agent Systems International Workshops: IWEC 2014, Gold Coast, QLD, Australia, December 1-5, 2014, and CMNA XV and IWEC 2015, Bertinoro, Italy, October 26, 2015, Revised Selected Papers /

This book constitutes the thoroughly refereed post-workshop proceedings of the 5th International Workshop on Empathic Computing, IWEC 2014, co-loacted with PRICAI 2014, held in Gold Coast, QLD, Australia, in December 2014, as well as the 6th International Workshop on Empathic Computing, IWEC 2015, a...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Baldoni, Matteo (Editor ), Baroglio, Cristina (Editor ), Bex, Floris (Editor ), Grasso, Floriana (Editor ), Green, Nancy (Editor ), Namazi-Rad, Mohammad-Reza (Editor ), Numao, Masayuki (Editor ), Suarez, Merlin Teodosia (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Colección:Lecture Notes in Artificial Intelligence, 9935
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Cognitive Approach to Relevant Argument Generation
  • Argumentation Mining in Parliamentary Discourse
  • Modelling Argumentative Behaviour in Parliamentary Debates: Data Collection, Analysis and Test Case
  • Automatically Detecting Fallacies in System Safety Arguments
  • Modeling User Music Preference through Usage Scoring and User Listening Behavior for Generating Preferred Playlists
  • Neural Prediction of the User's Mood from Visual Input
  • A Conversational Agent to Shift Students' Affect State
  • Comparing Affect Recognition in Peaks and Onset of Laughter
  • Modeling Work Stress Using Heart Rate and Stress Coping Profiles
  • Wizard-of-Oz Support Using a Portable Dialogue Corpus
  • Identifying Significant Task-Based Predictors of Emotion in Learning
  • Design of Populations in Symbiotic Evolution to Generate Chord Progression in Consideration of the Entire Music Structure
  • Item-Based Learning for Music Emotion Prediction Using EEG Data.