Strictly spearing, this is not a course in AI altnou~n it ls reg~rea oz s~uOen~s plannln6 ~o co AI. The goal of the course is not simply to ~urn out proaiclenL LASF=YS DUD also ~o accent LL~P's intrinsic qualities as a programming language a~,d envirom~ent, Ass off,ins in t,le Theory of Computation, and its use as a basis for extensions like PLA~ ~o GOd,IVan. OS522 -ARTIFICIAL INTELLIGENCE 2 Lecturers: R. S. Rosenberg and R. Reiter Unit Value| 1.5 -Spring Part 1 (R.S. Rosenberg) The first part of this course is devoted to what ,,ignt bc calle~ "The ~,iT Apprcacn". ~nls will involve the analysis of research carried out at ~IT over une last several years as well as related work elsewhere. Some of the major topics discussed ~re une representR~ion o~ znowedge and tne use o~ descriptions an~ procedures ~or ~nis purpose, Lhe role o1 learning in intelllgen~ systems, the nature of hierarchical and heterarcnzcal approaches, ana selected %oplc~ in macniAle vision and robotics. Some of the specific works studied ares T. Gยฐ Evans, A Program for the Solution of ~eometr%c ~naAo~y Test ~estions A. Guzman, Computer Recognition of T~ree-Dimensional ooSec~s in ~ visual Scene P. H. Winston, Learning Structural Descri~tlons from ~Aa~ples T. Winograd, Procedures as a Representation for Dabs l~ ~ ~o~iDu~e%" Prodra~ ~or Understanding Natural Language D. L. Waltz, Generating Semantic Descriptions from drawings o~ ~c=nes ,i5o Shadows Students may be requlrea to carry out ~ li~iteu programming pro0ect ~s well as a survey u~ some specific area in Artificial Intelligence.