The capability of estimating emotions is an important feature needed for intelligent systems to interact with humans. . In this paper, we propose a computational model to calculate a user’s desirability as one of the most important emotions, especially in Intelligent Tutoring Systems (ITS). The main purpose of this research is to find a relationship between personality and desirability in virtu...

The Office of the Comptroller of the Currency (OCC) expects a bank to practice effective risk management regardless of whether the bank performs the activity internally or through a third party. A bank’s use of third parties does not diminish the responsibility of its board of directors and senior management to ensure that the activity is performed in a safe and sound manner and in compliance w...

RÉSUMÉ. Pour résoudre des problèmes complexes, les agents doivent interagir avec les humains de manière naturelle, en particulier en exprimant des émotions réalistes et pertinentes. Les chercheurs se basent donc sur des théories psychologiques pour développer des modèles informatiques des émotions, et principalement sur la typologie dite OCC (Ortony, Clore et Collins). Dans cet article nous pro...

Reference lists from academic articles are core elements of scholarly communication that permit the attribution of credit and integrate our independent research endeavours. Hitherto, however, they have not been freely available in an appropriate machine-readable format such as RDF and in aggregate for use by scholars. To address this issue, one year ago we started ingesting citation data from t...

The Personality and emotions are effective parameters in learning process. Thus, virtual learning environments should pay attention to these parameters. In this paper, a new e-learning model is designed and implemented according to these parameters. The Virtual learning environment that is presented here uses two agents: Virtual Tutor Agent (VTA), and Virtual Classmate Agent (VCA). During the l...

We address a one-class classification (OCC) problem aiming at detection of objects that come from a pre-defined target class. Since the non-target class is ill-defined, an effective set of features discriminating between the targets and non-targets is hard to obtain. Alternatively, when raw data are available, dissimilarity representations describing an object by its dissimilarities to a set of...