A hybrid procedural/deductive executive for autonomous spacecraft
AGENTS '98 Proceedings of the second international conference on Autonomous agents
Hierarchical agent control: a framework for defining agent behavior
Proceedings of the fifth international conference on Autonomous agents
An Behavior-based Robotics
RADIC: a generic component for the integration of existing reactive and deliberative layers
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Using 4D/RCS to address AI knowledge integration
AI Magazine - Special issue on achieving human-level AI through integrated systems and research
DyKnow: An approach to middleware for knowledge processing
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - AILS '04
Crossmodal content binding in information-processing architectures
Proceedings of the 3rd ACM/IEEE international conference on Human robot interaction
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Developing autonomous agents displaying rational and goal-directed behavior in a dynamic physical environment requires the integration of a great number of separate deliberative and reactive functionalities. This integration must be built on top of a solid foundation of data, information and knowledge having numerous origins, including quantitative sensors and qualitative knowledge databases. Processing is generally required on many levels of abstraction and includes refinement and fusion of noisy sensor data and symbolic reasoning. We propose the use of knowledge processing middleware as a systematic approach for organizing such processing. Desirable properties of such middleware are presented and motivated. We then argue that a declarative stream-based system is appropriate to provide the desired functionality. Different types of knowledge processes and components of the middleware are described and motivated in the context of a UAV traffic monitoring application. Finally DyKnow, a concrete example of stream-based knowledge processing middleware, is briefly described.