COMP3411

Introduction

Artificial Intelligence is a broad-spanning interdisciplinary field. It has ties to philosphy maths, psychology, linguistics, computer engineering, biocybernetics and neurology.

To pass this course we need a minimum total of 50%, with a minimum of 40% in each of the total assignment mark and the exam mark.

More General Intro

Topics

The topics for this course will be:

• Enviroment Types
• Agent Model and Agent Types
• Constraint Satisfaction Problems
• Solving Problems with Search Techniques
• Search Techniques (wherein the COMP2911 search techniques will be relevant)
• Game Playing
  • Logic in Game Playing Communication
  • Learning and Logic Programming
  • Planning in Game Playing
  • General Game Playing (non-assessable)
    • 
• Learning and Decision Trees
• Artificial Neural Networks
  • Perceptron
    • Weight Adjustment Calculation Techniques
• Uncertainty
• Evolutionary Computation
• Computer Vision
• Robotics
• Probabilistic Reasoning
• Reinforcement Learning
• Planning
• Communication

What is Intelligence?

I think the more important question is whether we are talking about the existence of intelligence in an organism, or measuring the level of intelligence in an organism.

Intelligence in the first sense is self-awareness, it is the knowledge that one exists, it is thinking about thinking (introspection).

For the second, pattern recognition, spatial awareness and other such things come into it.