Lectures

The lectures are on Tuesday, Thursday and Friday from 10:00 to 11:00 in MLT3.

The lectures will broadly cover the following topics:

• Introduction and History (approx. 2 lectures)
• Logic (approx. 4 lectures)
• Reasoning under Uncertainty (approx. 3 lectures)
• Search (approx. 5 lectures)
• Planning (approx. 5 lectures)
• Agents (approx. 3 lectures)

The lecture notes will gradually be added to this page as the semester progresses. If you miss a lecture, download the notes for that lecture by following the corresponding link(s) below. In addition, study the relevant sections in the textbook.

Part 1 (28 February - 17 March) is taught by Hans W. Guesgen:

• Lecture 1 (28 February)
  • The Dream of an Intelligent Machine (without the movie clips)
  • Organizational Issues and Motivation
• Lecture 2 (2 March)
  • History of AI
• Lecture 3 (3 March)
  • Knowledge Representation in Logic
• Lecture 4 (7 March), 5 (9 March), and 6 (10 March)
  • Resolution
• Lecture 7 (14 March)
  • Reasoning under Uncertainty
• Lecture 8 (16 March)
  • Fuzzy Set Theory
• Lecture 9 (17 March)
  • Qualitative Reasoning

Part 2 (21 March onwards) is taught by Ian Watson

• Lecture 10 (21 March)
  • Search (introduction)
• Lecture 11 (23 March)
  • Search (blind search)
• Lecture 12 (24 March)
  • Search (heuristic search)
• Lecture 13 (March 28)
  • Search (adversarial search) Search (optimising search)
• Lecture 14 (March 30)
  • Search (genetic algorithms 1)
• Lecture 16 (March 31)
  • Search (genetic algorithms 2)
• Lecture 15 (April 4)
  • Replaced by Assignment 1 tutorial
• Lecture 16  (April 6 & 7)
  • Intelligent Agents (introduction)
• Lecture 17 (April 11 & 13)
  • Intelligent Agents 2
• Lecture 18 (May 4)
  • Intelligent Agents 3
• Lecture 19 (May 5)
  • Intelligent Agents 4
• The Planning lectures
  • planning 1 and planning 2