A I X88U A I 388U Planning, Search, and Reasoning Under Uncertainty 3 Hours
3 Lecture Hours 0 Lab Hours
Introduction to three key foundational problems in AI: planning, search, and reasoning under uncertainty. Investigate how to define planning domains, including representations for world states and actions, covering both symbolic and path planning. Study algorithms to efficiently find valid plans with or without optimality, and partially ordered, or fully specified solutions. Only one of the following may be counted: Artificial Intelligence 388U, Computer Science 388U, 395T (Topic: Planning Search and Reasoning). Three lecture hours a week for one semester
Pre/Corequisites: Graduate standing; and knowledge of undergraduate data structures, algorithms, and complexity; and prior knowledge in probability theory or statistics.
Grading: Student Option
Repeatable for credit: No
Academic Level: Master's