Publikation
Hybrid Control for Embodied Agents Applications
Jan Miksatko; Michael Kipp
In: Proceedings of the 32nd Annual Conference on Artificial Intelligence: AI und Automation. German Conference on Artificial Intelligence (KI-09), 32nd, September 15-18, Paderborn, Germany, Springer, 2009.
Zusammenfassung
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.