1. Pendulum Swings in AI  Top-down vs. Bottom-up  Ground vs. Lifted representation  The longer I live the farther down the Chomsky Hierarchy I seem to fall [Fernando Pereira]  Pure Inference and Pure Learning vs. Interleaved inference and learning  Knowledge Engineering vs. Model Learning  Human-aware vs.

2. The representational roller-coaster in CSE 471 atomic propositional/ (factored) relational First-order State-space search CSPProp logicBayes Nets FOPC w.o. functions FOPCSit. Calc. STRIS Planning MDPsMin-max Decision trees Semester time  The plot shows the various topics we discussed this semester, and the representational level at which we discussed them. At the minimum we need to understand every task at the atomic representation level. Once we figure out how to do something at atomic level, we always strive to do it at higher (propositional, relational, first-order) levels for efficiency and compactness. During the course we may not discuss certain tasks at higher representation levels either because of lack of time, or because there simply doesn’t yet exist undergraduate level understanding of that topic at higher levels of representation..

3. Discussion  What are the current controversies in AI? What are the hot topics in AI?