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Intelligent Environments (IEs) have specific computational properties that generally distinguish them from other computational systems. They have large numbers of hardware and software components that need to be interconnected. Their infrastructures tend to be highly distributed, reflecting both the distributed nature of the real world and the IEs' need for(More)
STUDY OBJECTIVES Sleep after learning often benefits memory consolidation, but the underlying mechanisms remain unclear. In previous studies, we found that learning a visuomotor task is followed by an increase in sleep slow wave activity (SWA, the electroencephalographic [EEG] power density between 0.5 and 4.5 Hz during non-rapid eye movement sleep) over(More)
We describe a bottom-up approach to the design of software agents. We built and tested an agent system that addresses the real-world problem of handling the activities involved in scheduling a visitor to our laboratory. The system employs both task-specific and user-centered agents, and communicates with users using both email and a graphical interface.(More)
We present a novel methodology for building highly integrated multimodal systems. Our approach is motivated by current cognitive and behavioral theories of sensory perception in animals and humans. We argue that perceptual integration in multimodal systems needs to happen at the lowest levels of the individual perceptual processes. Rather than treating each(More)