| Winter Term 2022 Artificial Intelligence - 1178 - CMSC 470 |
||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Prerequisites/Notes: CMSC 250 and CMSC 270 Catalog Description : A detailed investigation into foundational concepts of artificial intelligence: search, knowledge representation, and automated planning. Specific topics include uninformed and heuristic search techniques, logic-based knowledge representations, automated theorem-proving, logic programming (Prolog), action representations, means-ends analysis, regression and partial-order planning, and reachability analysis using graphs. PREREQUISITES: CMSC 250 and CMSC 270 Attributes: GER Quantitative Analysis, 400-599 Advanced Course
|
||||||||||||||||||||||||||||||||||||||||||||||||||||||||
