IKT710 Learning in Random Environments

Emnet er tilknyttet følgende studieprogram

• Ph.d.-program i teknologi og realfag

Anbefalte forkunnskaper

IKT623 or equivalent

 

Innhold

The heart of the course will involve deterministic and stochastic learning automata with fixed and

variable structures. We will study their operation in random environments and the various norms of

learning. The learning algorithms studied will be the linear and non-linear learning schemes of the

continuous and discretised families with ergodic and non-ergodic properties. Estimator algorithms

will also be examined. We will also discuss machines which can rank actions. Finally, the student

shall conduct a project dealing with recent (up to within the last few months) applications of learning automata in security and communications.

Læringsutbytte

After completing the course, the student is expected to:

• have insight into Learning Automata (LA) methods and their applications especially

concentrating on the areas of security and communications

• be able to solve research problems within security and communications using LA-based tools

Undervisnings- og læringsformer

Lectures, exercises and project work.

Eksamen

Approved project report.

Oral examination. Pass/Fail