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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)
At the MIT Artiicial Intelligence Laboratory we have been working on technologies for an Intelligent Room. Rather than pull people into the virtual world of the computer we are trying to pull the computer out into the real world of people. To do this we are combining robotics and vision technology with speech understanding systems, and agent based(More)
Animal acoustic communication often takes the form of complex sequences, made up of multiple distinct acoustic units. Apart from the well-known example of birdsong, other animals such as insects, amphibians, and mammals (including bats, rodents, primates, and cetaceans) also generate complex acoustic sequences. Occasionally, such as with birdsong, the(More)
The goal of the Adaptive Agents in Cultural Contexts symposium was to investigate agents and environments for behavior in social and cultural contexts and for realistic adaptation of such agents to changing situations. Computational human behavior models, in extending a conventional information-processing approach, face two complex problems: adaptation and(More)
12 13 Animal acoustic communication often takes the form of complex sequences, made up of multiple distinct 14 acoustic units. Apart from the well-known example of birdsong, other animals such as insects, 15 amphibians, and mammals (including bats, rodents, primates, and cetaceans) also generate complex 16 acoustic sequences. Occasionally, such as with(More)
We examine online learning in the context of the Wis-consin Card Sorting Task (WCST), a task for which the concept acquisition strategies for human and other primates are well documented. We describe a new WCST experiment in rhesus monkeys, comparing the mon-keys' behaviors to that of online learning algorithms. Our expectation is that insights gained from(More)
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