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*To*: cse471-f06@parichaalak.eas.asu.edu*Subject*: Qns for today's class*From*: "Subbarao Kambhampati" <rao@asu.edu>*Date*: Mon, 16 Oct 2006 22:00:59 -0700*Domainkey-signature*: a=rsa-sha1; q=dns; c=nofws; s=beta; d=gmail.com; h=received:message-id:date:from:sender:to:subject:mime-version:content-type:x-google-sender-auth; b=uDsusDK2K61+FAYTzYESOuw5H2ffL26fRuxXSlvHNktnS0zUVqQsORNTCXt4M/jDPEdhU5pnzB0pOjshL3gn/q37i5E8asRIP9fojifvMyWwDqW7UrUdq06+ddLNQQs4k0fe7YG1jg1mGpI4UYAlNwoAnnvnp3pqtFB9BNk2Hy4=*Sender*: subbarao2z2@gmail.com

1. We saw that propositional logic is monotonic and that real world requried "defeasible" or "non-monotonic" reasoning. Is probabilistic reasoning

monotonic or non-monotonic? Explain.

2. What is the difference between "Probability" and "Statistics"?

3. We made a big point about the need for representing joint distribution compactly. Much of elementary probability/statistics handles

continuous and multi-valued variables, where specifying the distribution of the single variable itself will need a huge number of numbers.

How is this normally side-stepped in elementary probability?

Also, make sure to read/review chapter 13 which reviews elementary probability.

Rao

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