Intelligent Systems I

Synopsis

1. Fundamental Issues. Possibility of achieving intelligent behaviour; objections to intelligent systems; the Turing test; rational actions. [2]
2. Search. Problem solving as search; search strategies; informed search methods. [3]
3. Planning and scheduling. [3]
4. Introduction to probabilistic reasoning. Probability theory; Bayes' theorem; Bayesian Networks; Markov processes. [4]
5. Practical systems. Dealing with extent. Case studies. [3]