Projects / Programmes
Umetna inteligenca (Slovene)
January 1, 1999
- December 31, 2003
Code |
Science |
Field |
Subfield |
2.07.00 |
Engineering sciences and technologies |
Computer science and informatics |
|
Code |
Science |
Field |
P176 |
Natural sciences and mathematics |
Artificial intelligence |
P170 |
Natural sciences and mathematics |
Computer science, numerical analysis, systems, control |
P175 |
Natural sciences and mathematics |
Informatics, systems theory |
P110 |
Natural sciences and mathematics |
Mathematical logic, set theory, combinatories |
T120 |
Technological sciences |
Systems engineering, computer technology |
Researchers (12)
no. |
Code |
Name and surname |
Research area |
Role |
Period |
No. of publicationsNo. of publications |
1. |
21306 |
PhD Matjaž Bevk |
Computer science and informatics |
Researcher |
2001 - 2003 |
19 |
2. |
02275 |
PhD Ivan Bratko |
Computer science and informatics |
Head |
2001 - 2003 |
746 |
3. |
16324 |
PhD Janez Demšar |
Computer science and informatics |
Researcher |
2001 - 2003 |
341 |
4. |
20225 |
PhD Aleks Jakulin |
Computer science and informatics |
Researcher |
2001 - 2003 |
38 |
5. |
21352 |
PhD Peter Juvan |
Human reproduction |
Researcher |
2001 - 2003 |
164 |
6. |
04242 |
PhD Igor Kononenko |
Computer science and informatics |
Researcher |
2001 - 2003 |
475 |
7. |
14565 |
PhD Matjaž Kukar |
Computer science and informatics |
Researcher |
2001 - 2003 |
221 |
8. |
15295 |
PhD Marko Robnik Šikonja |
Computer science and informatics |
Researcher |
2001 - 2003 |
438 |
9. |
20389 |
PhD Aleksander Sadikov |
Computer science and informatics |
Researcher |
2001 - 2003 |
198 |
10. |
15754 |
PhD Dorian Šuc |
Computer science and informatics |
Researcher |
2001 - 2003 |
43 |
11. |
21305 |
PhD Daniel Vladušič |
Computer science and informatics |
Researcher |
2001 - 2003 |
47 |
12. |
12536 |
PhD Blaž Zupan |
Computer science and informatics |
Researcher |
2003 |
533 |
Organisations (1)
Abstract
The program includes research on some fundamental issues of artificial intelligence (Al) as well as some applied research connected with these fundamental issues. Areas of fundamental research include: machine learning qualitative modelling, computer reconstruction of sub cognitive human skills, mechanical engineering, and forecasting properties of new materials. Concrete results of research in 1999 include the following:
- A new method of machine learning that induces, from learning examples, a definition of the target concept in terms of a hierarchy of intermediate concepts, whereby discovering new useful concepts. The method is based on function decomposition.
- A new approach to the modelling of human control skill, based on automatic induction, from human operator's control traces, of constraints on the control trajectory. This approach was experimentally applied to several control problems, including container cranes.
- A new algorithm for the selection of atributes in machine learning, inspired on a combination of the Relief method and prediction accuracy optimisation.
- An Inductive Logic Programming (ILP) system, called CLIP, that includes a number of efficiency mechanisms and techniques for Constraint Logic Programming within ILP.
- Experimental applications include the following application areas: control of dynamic systems, analysis of bio-electromagnetic field of a patient, medical image recognition, prediction in prostate cancer recurrence, diagnosis of heart diseases.
Most important scientific results
Final report
Most important socioeconomically and culturally relevant results
Final report