Principles and Practice of Multi-Agent Systems: Lecture Notes in Computer Science, cartea 9935
Editat de Matteo Baldoni, Cristina Baroglio, Floris Bex, Floriana Grasso, Nancy Green, Mohammad-Reza Namazi-Rad, Masayuki Numao, Merlin Teodosia Suarezen Limba Engleză Paperback – 6 dec 2016
The 12 papers presented were carefully reviewed and selected from 32 initial submissions. The workshops are going alongside with the PRIMA 2015 Conference and are intended to facilitate active exchange, interaction and comparison of approaches, methods and various ideas in specific areas related to intelligent agent systems and multiagent systems.
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Specificații
ISBN-13: 9783319462172
ISBN-10: 3319462172
Pagini: 180
Ilustrații: X, 169 p. 39 illus.
Dimensiuni: 155 x 235 x 11 mm
Greutate: 0.28 kg
Ediția:1st edition 2016
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
ISBN-10: 3319462172
Pagini: 180
Ilustrații: X, 169 p. 39 illus.
Dimensiuni: 155 x 235 x 11 mm
Greutate: 0.28 kg
Ediția:1st edition 2016
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
Cuprins
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.