This subject introduces the area of Artificial Intelligence. Topics are drawn from traditional and biologically inspired Artificial Intelligence. These include the foundations of intelligence, search, knowledge representation and reasoning, expert systems, natural language processing, neural networks, artificial life and genetic algorithms. The first half of the subject introduces students to classical, symbol-handling Artificial Intelligence and covers search, knowledge representation and reasoning, expert systems and natural language processing. The second half of the subject introduces students to biologically inspired Artificial Intelligence, and covers neural networks, artificial life, and genetic algorithms.
Examinations consist of multiple choice questions and short answer questions.
Assessment determines the student's overall understanding of the concepts of Artificial Intelligence, whilst encouraging the student to focus on the areas they find most interesting. There is no set text. Lecture notes will be put on Open Reserve in the library. I am unable to put the notes on the Web because of copyright restrictions.