We introduce a new collaborative machine learning paradigm in which the user directs a learning algorithm by manually editing the automatically induced model. We identify a generi...
Vittorio Castelli, Lawrence D. Bergman, Daniel Obl...
This paper describes the development of a new model of agent emotion elicitation called Nemesys. It enhances interfaces with emotional and social information. Nemesys is based on ...
Manfred Eckschlager, Regina Bernhaupt, Manfred Tsc...
This paper describes an animated conversational agent called Kare1 which integrates a talking head interface with a linguistically motivated human-machine dialogue system. The age...
This work presents some anticipatory mechanisms in an agent architecture, modeling affective behaviours as effects of surprise. Through experiment discussion, the advantages of bec...
This paper presents the Dsml4mas Development Environment (DDE) which is a model-driven framework for the development of multiagent systems based on the Domain Specific Modeling L...