Prof. Luke Hunsberger | My Web Page |
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. |
There will be no exams in this course. Grades will be determined by the quality of the programming projects developed over the course of the semester and contributions to building the TRL infrastructure. |
The calendar section below will grow incrementally as we progress through the semester. |