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Artificial Intelligence (AI) has a history of algorithmic innovations
stretching back to the mid-1950s. Over the ensuing decades, techniques
in AI have enabled advances in a wide variety of areas, including
voice recognition, automated reasoning, vision processing, planning
and scheduling, game-playing programs, and many more. This intensive
focuses on using Temporal Networks to reason about time. Students will
work in small collaborative groups on programming projects throughout
the semester aimed at empirically evaluating existing algorithms for
different kinds of temporal networks. Particular attention
will be paid to ensuring that all empirical evaluations are
reproducible. The projects completed during the semester will be used
to populate a new (virtual) Temporal Reasoning Laboratory (TRL) .
Students will participate in building the infrastructure for the TRL.
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