Advanced Topics in Intelligent Systems

Spring 2003

Tuesday 5:45-8:25pm



Instructor: Chan-Jin Chung, Ph. D.
Syllabus

This course provides methods and techniques to build adaptable intelligence systems in depth. Students will gain practical experience while they apply those concepts learned to the development of intelligent systems such as Laptop Robots, Intelligent Web applications, and Data Mining projects. We are palnning to publish papers for CEC2003 conference based on our class project results. You may use either C++ or Java for the projects. Prerequisite of this class is Introduction to Intelligent Systems (MCS 5503) or instructors permission.

Topics and Tentative Schedule (S217, 5:45-8:25pm)

• Review of AI topics and Introduction to Knowledge-Based Intelligent Systems [1-14, 1-21]
• Rule-based Expert Systems and Uncertainty Management [1-21]
• Fuzzy Sets,Fuzzy operators, Fuzzy rules [1-28]
• Fuzzy Inference and Fuzzy Logic Controller; Advanced Artificial Neural Networks [2-4]
• Self-organizing Neural Networks [2-11]
• Genetic Programming [2-18]
• Simulated Annealing; Version Space Learning; Theory of Evolutionary Computation[2-25]
• Advanced Evolutionary Computation - Cultural Algoritrhms [2-25, 3-4]
• Constraint Handling in Evolutionary Computation [3-4]
• Hybrid Intelligent Systems
  • Neuro-Fuzzy Systems [3-18]
  • Fuzzy Evolutionary Systems [3-18]
  • Evolutionary Artificial Neural Networks [4-8]
  • Softcomputing: Neuro-Fuzzy-Evolutionary Systems [4-8]
• Introduction to Knowledge Engineering and Data Mining [4-15]
• Robotics and Robot cooperation [TBA]
• Computer Vision [TBA]
• Other IS topics such as Artificial Immune Systems and Pervasive Computing [TBA]

Class Resources

• Objfunc.java
• Rosenbrock function
• Ackley function
• FletcherPowell function
• Track 1 | Track 2
• Applying Advanced Learning Algorithms to ALVIN, (PDF 151KB)