A blackboard architecture for control
Artificial Intelligence
SOAR: an architecture for general intelligence
Artificial Intelligence
The Hearsay-II Speech-Understanding System: Integrating Knowledge to Resolve Uncertainty
ACM Computing Surveys (CSUR)
The synthesis of digital machines with provable epistemic properties
TARK '86 Proceedings of the 1986 conference on Theoretical aspects of reasoning about knowledge
Human Problem Solving
Automated assistance for the telemeeting lifecycle
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Robotics software frameworks for multi-agent robotic systems development
Robotics and Autonomous Systems
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Our research focuses on highly sophisticated intelligent agents having three key characteristics requiring integration:* Adaptivity. An intelligent agent interacts with--influences and is influenced by--other dynamic entities in its environment. It perceives data from the environment, reasons to interpret perceptions, solve problems, make decisions, etc., acts to affect external entities and to achieve its goals. To keep pace with external events and avoid missing important demands and opportunities for action, the agent performs these functions asynchronously, concurrently, and selectively. Nonetheless, these functions must be integrated. Perception must inform reasoning and action. Reasoning must guide perception and action. Action must feed back on perception and reasoning.