Textbook Information for CSE 415, Winter 2007

This quarter, we are using new versions of selected chapters of The Elements of Artificial Intelligence by S. Tanimoto. The new versions use the Python programming language for examples, rather than Lisp. The first component has been released as a tutorial in the IEEE Computer Society's ReadyNotes series and is available to the class in this form.

The reading on state-space search is here.

The readings on image understanding include Introduction (read sections 1.1-1.9, except 1.5 is optional); Image Formation and Sensing (read sections 2.7-2.10); Preprocessing (read sections 3.1-3.5, except 3.4.1); Connectedness and Cellular Logic (read sections 4.1, 4.2, 4.5, 4.6); Edge and Line Detection (read sections 5.1, 5.2, and 5.8). (Note: These readings are copyrighted and are provided only for the use of students currently registered in CSE 415.)

The readings on logic include Knowledge Representation (read section 4.8 -- pp.116-129); Logical Reasoning (read sections 6.1, 6.2.1, 6.2.2, 6.2.4, 6.3, 6.7. );

For the topic of Bayes nets, we are using web materials posted by others. Here are two selected tutorials. The first is more concise than the second. (1). Tutorial by Norman Fenton. (2). An Intuitive Explanation of Bayesian Reasoning: Bayes' Theorem for the curious and bewildered; an excruciatingly gentle introduction, by Eliezer Yudkowsky.

Discussions of parsing, semantic grammars, and augmented transitions networks can be found here.

Here's a brief introduction to Neural Networks.