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It is important for artificial agents to accurately infer human emotions in order to provide believable interactions. However, there is currently a lack of empirical results supporting affective agent to propose effective computational models for this purpose through analyzing individual profile information and the interaction outcomes. In this paper, we bridge this gap with a game-based empirical...
The Evolutionary Fuzzy Cognitive Map improves on serious games by modeling both fuzzy and probabilistic causal relationships among the game's variables. It permits asynchronous updates of the variables so that they can evolve dynamically and stochastically. These improvements give players a more engaging, immersive experience.
This paper describes ongoing learning and intelligent agent research involving a new class of educational Interactive and Digital Media (IDM) that integrates computational intelligent agents with the functionality and affordances of 3D Multi-User Virtual Environment (MUVE). This research builds upon a proof-of-concept VIRTUAL SINGAPURA immersive learning environment project. Ongoing technical development...
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