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Date: Thu, 21 Nov 1996 22:18:21 GMTServer: NCSA/1.4.2Content-type: text/html<html><head><title>CSE 574 Uncertainty and Decision Making</title></head><body><h2> CSE 574 Uncertainty and Decision Making in Artificial Intelligence --- Winter 1996 </h2><hr><h3> Professor: </h3> <!WA0><a href="http://www.cs.washington.edu/people/faculty/hanks.html"> Steve Hanks</a>, <i><!WA1><a href="mailto:hanks@cs.washington.edu">hanks@cs</a></i>. <ul> <li> Office: Sieg 210, 3-4784 <li> Office hours whenever I'm around, or by appointment. </ul> <hr><h3> Email addresses:</h3><UL><li>Mail to <!WA2><a href="mailto:cse574@cs.washington.edu"> cse574@cs.washington.edu</a> goes to all class members.<LI>Send mail to <!WA3><A HREF="mailto:cse574-request@cs.washington.edu"> cse574-request@cs.washington.edu </A>to get put on the list.</UL><hr><h3> Reading material:</h3><UL><LI> Pearl: <EM>Probabilistic Reasoning in Intelligent Systems</EM><br>This is the "required" text for the class, and we will read several chapters. You can probably get by without buying it if you're strappedfor cash, though it's a nice reference book. <LI> Shafer and Pearl: <EM>Readings in Uncertain Reasoning</EM><br>This is a nice collection of foundational papers on reasoning and uncertainty, and we will read several selections. A copy will be available in the GRAIL library.<LI> E.T. Jaynes: <!WA4><A HREF="ftp://bayes.wustl.edu/Jaynes.book/">Probability Theory: The Logic of Science</A>.<br>Fragmentary edition of July 1995. This is an extremely interesting technical and historical look at the foundationsof probability theory, statistics, and decision theory. Definitely worth looking at for the reference list and historical perspective alone! The math can be heavy going in places, but it's beautifully written.<LI> Neapolitan: Probabilistic Reasoning in Expert Systems, Theory and Algorithms<br>A significant overlap with the Pearl book, so a good secondary source for information about graphical models and propagationalgorithms. This is available from the Math Research library.<LI> Other papers to be arranged.</UL><hr><H3>Course summary:</H3>Here is a summary of the topics we covered and the readings, in <!WA5><a href="http://www.cs.washington.edu/education/courses/574/summary/summary.html"> HTML</a> or <!WA6><a href="http://www.cs.washington.edu/education/courses/574/summary/summary.ps">Postscript</a>.<hr><address> hanks@cs.washington.edu (Last Update: 06/20/96)</address> </body></html>⌨️ 快捷键说明
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