• Class information and policies
• Slides and Handouts
  • Introduction to Intelligent Systems
  • Rule-Based Expert System (ES)
  • CLIPS Expert System Programming
  • Uncertainty Managment in Rule-Based ES
    • Certainty Factor
  • Fuzzy Expert Systems
    • Fuzzy Logic
    • Fuzzy Inference
  • Frame-Based Expert Systems
  • Artificial Neural Network
    • Supervised Learning
    • Unsupervised Learning
  • Evolutionary Computation
    • Genetic Algorithms
    • Evolution Strategies and Genetic Programming
  • Hybrid Intelligent Systems
    • Neural Expert Systems and Neuro-Fuzzy Systems

• Assignment materials:
  Note: email your programming assignments to cs437@cs.siu.edu.
  Use the name of the assignment as the subject of the email (for example: Ast #1)
  • Ast #1: Due on Thursday, 2/7/08
  • Ast #2: Write a CLIPS program to solve the Tower of Hanoi (ToH) problem for n rings (Ref to ToH problem): Due on 2/19/08
  • Ast #3: Introduction to Probability Theory (given in the class)
  • Ast #4: Certainty Factor and Fuzzy Sets;  Due on 3/25/08
  • Ast #5: Implement the rule-base-1 for the example in section 4.7 (from your text book) using Matlab. Plot the three dimentional figures for it.
  • Ast #6: Fuzzy expert system development with Matlab. (ref to mathlab fuzzy logic toolbox)
• Soloution to problem1 of Assignment 4!

Term Project Guidlines

Project posibilities (some examples):

•  Applying ES, FES, ANN, GA, or Hybrid systems to your current problems
•  Studying the applications or applying the above technologies in different domains such as:

•  Evaluation of different defuzzification techniques and their applications
•  Study of different classes of ANN with supervised or unsupervised learning and their applications
•  Study of different Hybrid intelligent systems and their applications (pros and cons)