Statecharts: A visual formalism for complex systems
Science of Computer Programming
Intelligence without representation
Artificial Intelligence
The persona effect: affective impact of animated pedagogical agents
Proceedings of the ACM SIGCHI Conference on Human factors in computing systems
Authoring scenes for adaptive, interactive performances
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
ERIC: a generic rule-based framework for an affective embodied commentary agent
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 1
Ambient intelligence in edutainment: tangible interaction with life-like exhibit guides
INTETAIN'05 Proceedings of the First international conference on Intelligent Technologies for Interactive Entertainment
IVA'10 Proceedings of the 10th international conference on Intelligent virtual agents
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Embodied agents can be a powerful interface for natural human-computer interaction. While graphical realism is steadily increasing, the complexity of believable behavior is still hard to create and maintain. We propose a hybrid and modular approach to modeling the agent's control, combining state charts and rule processing. This allows us to choose the most appropriate method for each of the various behavioral processes, e.g. state charts for deliberative processes and rules for reactive behaviors. Our long-term goal is to architect a framework where the overall control is split into modules and submodules employing appropriate control methods, such as state-based or rule-based technology, so that complex yet maintainable behavior can be modeled.