The role of emotion in believable agents
Communications of the ACM
Embodied conversational interface agents
Communications of the ACM
Some Requirements and Approaches for Natural Language in a Believable Agent
Creating Personalities for Synthetic Actors, Towards Autonomous Personality Agents
Usability attributes in virtual learning environments
Proceedings of The 8th Australasian Conference on Interactive Entertainment: Playing the System
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Practical intelligence is gained by doing. In this project we offer a technique which allows software agents and humans to learn by doing. The human trainer, that is the domain expert, directly interacts with the system to create new scenarios and learning experiences for the trainee. As they interact with the system, the system acquires knowledge from the trainer which can be transferred to the trainee. For this purpose, we employ a hybrid case and rule-based knowledge acquisition and representation technique known as Ripple Down Rules.