Artificial Intelligence Study Guide

From Wikibooks, the open-content textbooks collection

Jump to: navigation, search

[edit] Introduction

Welcome to the study guide for the Artificial Intelligence program at the University of Georgia. This guide is intended to help students at the Artificial Intelligence Center to study for the final comprehensive oral examination. Now that it was passed around for while, this is the attempt to make it a collaborative effort, so you are welcome to participate in extending and improving existing chapters and adding missing ones.

Keep in mind that this is supposed to be a study guide, rather than a comprehensive book on Artificial Intelligence. Therefore, the chapters should only cover the basics and maybe some examples and then invite the reader to study the topic in detail by pointing him or her to the appropriate books and articles.

[edit] Contributors

  • Hendrik Fischer
  • Darren Casella

[edit] Contents

  1. General Remarks
  2. Artificial Intelligence (CSCI 6550)
  3. Symbolic Programming (ARTI 6540)
  4. Knowledge Based Systems (CSCI 8050)
  5. Computational Intelligence (CSCI 8940)
  6. Machine Learning (CSCI 8950)
  7. Philosophy of Language (PHIL 8300)
  8. Decision Support Systems (MIST 7730)
  9. Rapid Application Development (MIST 7620)
  10. Advanced Data Management (MIST 7700)