Artificial Intelligence

• Instructor: Michael C. Scherger
  • Office: MSB-357
  • Office Hours: T, Th 10:30 - 12:30, 1:45 - 15:00, or by appointment
  • E-Mail: mscherge@cs.kent.edu
  • Web: http://www.cs.kent.edu/~mscherge
  • Phone: (330) 672-2074
• Textbook
  • "Artificial Intelligence: A Modern Approach 2nd ed." by Stuart Russell and Peter Norvig, Prentice Hall, Upper Saddle River, NJ, 2003, ISBN: 0-13-790395-2
• Syllabus, Schedule, and Calendar
• Last Day to Withdrawal: March 26
• No Classes: Spring Recess: Monday - Sunday: March 27 - April 2
• No Classes: Remembrance Day: Thursday: May 4
• Final Exam: 12:45 - 15:00: Tuesday: May 9
• Course Topics and Lecture Notes (Subject to Change)
  • Part 1: Artificial Intelligence and Agents
    • Chapter 1: Introduction
    • Chapter 2: Intelligent Agents
  • Part 2: Problem Solving
    • Chapter 3: Solving Problems by Searching
    • Chapter 4: Informed Search and Exploration
    • Chapter 6: Adversarial Search
  • Part 3: Knowledge and Reasoning
    • Chapter 7: Logical Agents
    • Chapter 8: First Order Logic
    • Chapter 9: Inference in First Order Logic
    • Chapter 10: Knowledge Representation
  • Part 4: Planning
    • Chapter 11: Planning
  • Part 5: Learning
    • Neural Networks
  • Part 6: Communicating, Perceiving, and Acting
    • Chapter 22: Communication
    • Chapter 24: Perception
    • Chapter 25: Robotics
• Homework
s and Quizzes
• Homework #1: Survey, Python, Talking to Teddy Bears, and the Turing Article
• Homework #2: Python Warm Up Programs
• Homework #3: Exploring Prolog
• Projects
• Program Documentation Standards
• Project #1: Vacuum Cleaner World
• Project #2: Robot World: Robot Searching in Maze Environments
  • Sample Test Files: one.txt, two.txt, three.txt, four.txt, five.txt, six.txt
• Project #3: Konane
• Project #4: Shakey's World: Robot Planning
• Project #5: Neural Network Simulator
• Exams
• Exam #1: Thursday, February 16: Study Guide
• Exam #2: Thursday, March 23: Study Guide
• Exam #3: Thursday, May 9: Study Guide
• Resources
  • Textbook resources can be found aima.cs.berkeley.edu.
  • C++
    • Download the Microsoft Visual C++ 2003 Toolkit (free command line compiler)
  • Python
    • www.python.org
    • A quick tutorial in Python
    • How to Think Like a Computer Scientist - Python Version
  • CLIPS
    • CLIPS Website
    • Local CLIPS Zip File (Contains Windows version, help file, user and programming guides).
    • My CLIPS Notes
  • Lisp
  • Prolog
    • Amzi! Prolog + Logic Server
    • SWI-Prolog
    • A quick tutorial in Prolog
    • An adventure in Prolog: another tutorial