BIS 2040 Home Page

Knowledge Based Systems for Business

• Semester Outline
• Course Work
• Resit Course Work
• lectures
  • Lecture 1:Introduction and Overview
  • Lecture 2:Rule Based System Architectures and programming with Rules
  • Lecture 3:Getting Rules to Work Together
  • Lecture 4:Knowledge Representation and Logic
  • Lecture 5:Semantic Nets
  • Lecture 6:Rule Based Systems Examples
  • Lecture 7:Case Based Reasoning
  • Lecture 8:Case Based Reasoning Example
  • Lecture 9:Knowledge Engineering
  • Lecture 10:Frames and Expertise
  • Lecture 11:Search Spaces and Unifying Themes
  • Lecture 12:Conclusion and Review
• Evaluated Labs
  • Lab Summary and Marking Scheme
  • Lab 1: Introduction to Clips
  • Lab 2: Chaining System, Side Effects, or, not, and and in conditions,debugging
  • Lab 3: Decision Trees, Symmetric Rules and Transitive Rules
  • Lab 4: Loops and Function Calls using just rules
  • Lab 5: Semantic Nets
  • Lab 6: Backtracking
  • Lab 7: Caspian Intro
  • Lab 8: Build a CBR system
  • Lab 9: Knowledge Engineering
  • Lab 10: Backward Chaining
  • Extra Labs
    • Lab Solutions
    • Lab 1a: Lookup Table in Clips Lookup Table Solution
    • Lab 4a: Monkeys and Bananas
    • Lab 6a: Conflict Resolution
    • Lab 6b: Question Driven Backward Chaining
    • Lab 8: Build a CBR system
    • Lab 1: Old lab Write a Rule in Kappa PC
    • Lab 2: Old lab A Forward Chaining System in Kappa PC
    • Lab 3-9: Old labs in Kappa PC, included backward chaining, interleaved chaining and instances
    • BChain Lab:Use Backchaining in Clips
  • John Platts' Lectures
  • The handbook
  • Exam from May 2002
  • Exam from January 2003
  • Exam from May 2003
  • Exam from December 2003
  • Exam from May 2004
  • Exam from December 2004
  • Exam from May 2005
  • Exam from January 2006
  • Exam from May 2007
  • Exam from August 2007
  • Exam from December 2007