Artificial intelligence (AI) has recently regained the limelight, as the human world chess champion was beaten by Deep Blue, a program written by a team of researchers and programmers from IBM. Even more recently, a "re-match" against a distributed machine in Jerusalem also favored a computer program. In the more difficult field of partial information and chance games, such as Poker, AI programs now hold their own against human champions, as exhibited in a competition held during AAAI-2008. In the even more difficult field of automated robotics, a nearly fully autonomous car has recently (2012) been successful in road tests in the Western USA (Google driverless car). Other true AI applications are also on the rise, from expert systems for diagnosis and advice, through increasingly intelligent robots, to intelligent and autonomous www agents.
This course deals with the issues of defining intelligence and rationality in an agent, various methods of formalizing them, and models for representing and using knowledge. In specific topics, mainly search, logical reasoning, probabilistic reasoning, and decision-making under uncertainty, the course will focus all the way down to the algorithm level, in order to provide some hands-on experience with programming artificially intelligent agents. We will also briefly examine the currently hot topic of meta-reasoning in search.
This course now has 2 numbers, one as an undergraduate course, and one as a graduate course. These are both the same course although some details in assigmnents (e.g. bonus assignments, etc.) may be slightly different. Significant weight will be assigned to examining some open reasearch problems in some sub-fields of AI, especially in the graduate part of the course.
Note: The course will be given in English, assuming at least one non-Hebrew speaking student.