| Abbreviation: UMJEIN
|
Load: 30(L)
+ 10(E)
+ 20(LE)
+ 0(S)
+ 0(FLE)
+ 0(PEE)
|
| Lecturers in charge: |
dr. sc. Edouard Ivanjko |
| Lecturers: |
dr. sc. Martin Gregurić
(
Exercises, Laboratory exercises
)
Mladen Miletić mag. ing. traff.
(
Laboratory exercises, Exercises
)
|
| Course description: The definition of artificial intelligence. Knowledge-based systems. Ontology. Knowledge representation. Knowledge base. Inference
mechanism. Inference in a rule-based system. Expert systems. Mathematical logic. Fuzzy logic and inference. Machine and deep
learning. Artificial and deep neural networks. Genetic algorithm. Intelligent data search. Natural language processing. Computer
vision. Distributed intelligence systems. Intelligent agents and (deep) reinforcement learning. Intelligent transport systems.
|
| Compulsory literature: |
| 1. |
Russell, S., Norvig, P.: Artificial Intelligence: A Modern Approach, Prentice Hall, 2003. |
| 2. |
Ban, Ž., Matuško, J., Petrović, I., Primjena programskog sustava Matlab za rješavanje tehničkih problema, Graphis, 2010. |
| 3. |
Dalbelo-Bašić B., Čupić M., Šnajder J., Umjetne neuronske mreže, ZEMRIS, FER, 2008. |
| 4. |
Čupić, M., Prirodom inspirirani optimizacijski algoritmi, ZEMRIS, FER, 2009.-2010. |
| 5. |
Skansi, S., Introduction to Deep Learning (From Logical Calculus to Artificial Intelligence), Springer International Publishing,
2018.
|
| Recommended literature: |
| 6. |
Luger, G.F.: Artificial Intelligence, Addison Wesley, 2005. |
| 7. |
Dalbelo-Bašić B., Šnajder J., Umjetna inteligencija: Zaključivanje uporabom propozicijske i predikatne logike, zbirka zadataka,
udžbenici Sveučilišta u Zagrebu, 2008.
|
| 8. |
Petrović I., Baotić M., Perić N., Inteligentni sustavi upravljanja: Neuronske mreže, evolucijski i genetički algoritmi, FER,
2011.
|
|