Syllabus
B552: Knowledge-Based Computation

Spring 2008

David Leake

• Course overview and the role of knowledge in AI
• Knowledge-based systems and the knowledge principle
• Knowledge representation principles and pitfalls: designing general-purpose knowledge bases
• Knowledge application: Case studies from the development of knowledge-based NLP
• Large-scale knowledge sources and tools
• Dynamic Memory Theory
• Reasoning by memory and analogy: CBR
  • Indexing/retrieval
  • Adaptation of knowledge for reuse
  • Case-base maintenance
  • CBR integrations and applications
• New directions in knowledge capture and sharing
• Additional topics as time permits
• Paper presentations
• Project presentations
• Perspective and the future of knowledge-based AI
• Overview, wrap-up, and final discussion