3. year Cybernetics
Mathematics A. Statistical methods. Programming.
Intelligent systems is the theory of goal oriented systems. The student will at the end course be able to develope computer programs for Arificial Inteligent systems.
1. Knowledge theory: Philosophy of knowledge. System ethics. System learning.
2. Individ models: Autonomous knowledge models. Agents. Boids. Flock. Artificial life.
3. Fuzzy expert systems: Fuzzy logic. Fuzzy set theorys. Fuzzy decision theory.
4. Neural Network: Neural network concepts. Network training. Perseption network. Propagation network. Hopfild network. Bidirectional assosative memory. Selforganisation network (Hebbian and Kohonen).
5. Genetic systems: Genetic algorithms. Coding. Cromosom. Fitness. Crossover. Mutations. Evolusion. Genetic programming.
6. Hybrid systems: Neural expert systems. Neural fuzzy systems. Datamining. Neural control.
Intencive lectorals and 6 exercises.
A C or better in all exercises.
Theory 5 hour examination.
