Subject: Artificial Intelligence	Code: MII0001	

Semester	 Hours: C+S+L	Type	 Section	
4	2+1+1	compulsory	Computer Science	

Teaching Staff in Charge	Prof. DUMITRESCU Dan Dumitru, Ph.D., ddumitr@cs.ubbcluj.ro
Lect. OLTEAN Mihai, Ph.D., moltean@cs.ubbcluj.ro
Lect. CSATO Lehel, Ph.D., csatol@cs.ubbcluj.ro
Asist. GROSAN Crina Daniela, Ph.D., cgrosan@cs.ubbcluj.ro
Asist. MIHAILA Cristina Aneta, aneta@cs.ubbcluj.ro	
Aims	Supply an introduction to the field of AI.
Give the basic notion, techniques ans algorithms of AI.
Suplly the background for advanced AI courses	
Content	1. Logical-symbolic paradigm of AI
2. Problem solving techniques
3. Knowledge representation in AI
4. Learning in AI systems
5. Conectionism
6. Perceptron model
7. Learning by LMS
8. Associative networks
9. Hoppfield model
10. Back propagatio	
Selective References	DUMITRESCU,D.,B Lazzerini,Evolutionary Computation, CRC Press, New York, Boca Raton, 2000
DUMITRESCU,D.,B Lazzerini,Fuzzy Sets and treir Application in Training and Clustering , CRC Press, New York, Boca Raton, 2000
DUMITRESCU, D.,Principiile  Inteligentei artificiale,  Editura Albastra, Cluj,2000.
DUMITRESCU, D.,Principiile  teoriei clasificarii,  Editura Academiei, Bucuresti,2000.
DUMITRESCU, D.,Algoritmi genetici si strategii evolutive. Aplicatii in Inteligenta      Artificiala,  Editura Albastra, Cluj,2000.
DUMITRESCU, D., Inteligenta artificiala,  Univ. "Babes-Bolyai", 1995.
DUMITRESCU, D., Modele conexioniste in Inteligenta Artificiala, Univ. "Babes-Bolyai", 1995.
DUMITRESCU, D., Retele Neuronale, Teora, 1997
MALITA, M., Bazele matematice ale Inteligentei Artificiale, Ed.Tehnica, 1988.
PATRIDGE, D., Artificial Intelligence. Aplications in the future of software engineering, Ellis Harwood Series in A.I., John Wiley & Sons, New York 1986.
RICH, E. Artificial Intelligence, Mc.Graw Hill, 1989.
WINSTON, P., Inteligenta artificiala, Ed.Tehnica, 1980.
GOLDBERG, D. E., Genetic Algorithm. Addison-Wesley, Reading, 1989	
Assessment