Artificial Intelligence Laboratory

Artificial Intelligence Laboratory performs research in the field of machine learning, data mining, heuristic search and optimisation, inductive logic programming, qualitative reasoning and – more recently – in artificial intelligence in education.

 


Collaborators


Selected References

ARTIFICIAL INTELLIGENCE AND LOGIC PROGRAMMING
  • Bratko I. Prolog Programming for Artificial Intelligence, Addison-Wesley, 1986; second edition 1990; third edition 2001; fourth edition Addison-Wesley/Pearson Education 2012. [Amazon]
MACHINE LEARNING AND DATA MINING
  • Groznik V, Guid M, Sadikov A, Možina M, Georgiev D, Kragelj V, Ribarič S, Pirtošek Z, Bratko I. Elicitation of neurological knowledge with argument-based machine learning. Artificial Intelligence in Medicine 57(2): 133-144, 2013.
  • Janež T, Žabkar J, Možina M, Bratko I. Learning faster by discovering and exploiting object similarities. International Journal of Advanced Robotic Systems 10: 1-18, 2013.
  • Kužnar D, Možina M, Giordanino M, Bratko I. Improving vehicle aeroacoustics using machine learning. Engineering Applications of Artificial Intelligence 25(5): 1053–1061, 2012.
  • Muggleton S, Raedt L, Poole D, Bratko I, Flach P, Inque K, Srinivasan A. ILP turns 20 : biography and future challenges. Machine Learning 86(1): 3-23, 2012.
  • Žabkar J, Možina M, Bratko I, Demšar J. Learning qualitative models from numerical data. Artificial Intelligence 175(9-10): 1604-1619, 2011.
  • Košmerlj A, Bratko I, Žabkar J. Embodied concept discovery through qualitative action models. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 19(3): 453-475, 2011.
  • Žabkar J, Možina M, Janež T, Bratko I, Demšar J. Preference learning from qualitative partial derivatives. ECML PKDD: 1-13, 2010.
  • Možina M, Guid M, Krivec J, Sadikov A, and Bratko I. Fighting Knowledge Acquisition Bottleneck with Argument Based Machine Learning. 18th European Conference on Artificial Intelligence – ECAI 2008, 234-238, 2008.
  • Možina M, Žabkar J, Bratko I. Argument based machine learning. Artificial Intelligence, vol. 171, no. 10/15, pp. 922-937, 2007.
  • Sadikov A, Bratko I. Learning long-term chess strategies from databases. Machine Learning, 2006, vol. 63, no. 3, str. 329-340.
  • Leban G, Zupan B, Vidmar G, Bratko I. VizRank: Data Visualization Guided by Machine Learning. Data Mining and Knowledge Discovery 13(2): 119-136, 2006.
  • Šuc D, Vladušić D, Bratko I. Qualitatively faithful quantitative prediction. Artificial Intelligence 158(2): 189-214, 2004.
  • Zupan B, Bohanec M, Demšar J, Bratko I. Learning by discovering concept hierarchies, Artificial Intelligence Journal 109, 211-242 (1999)
  • Michalski RS, Bratko I, Kubat M (eds.) Machine Learning and Data Mining: Methods and Applications, Wiley, 1998. [Amazon]
  • Kononenko I, Bratko I. Information based evaluation criterion for classifier's performance. Machine Learning Journal 6: 67-80, 1991.
  • Bratko I, Mozetič I, Lavrač N. KARDIO: A Study in Deep and Qualitative Knowledge for Expert Systems, MEM Press, Cambridge, Massachusetts, 1989. [Amazon]
HEURISTIC SEARCH AND OPTIMISATION
  • Nau D, Luštrek M, Parker A, Bratko I, Gams M. When is it better not to look ahead? Artificial Intelligence 175(16-17): 1323-1338, 2010.
  • Sadikov A, Bratko I. LRTA* works much better with pessimistic heuristics. 18th European Conference on Artificial Intelligence – ECAI 2008 897-898, 2008.
  • Guid M, Bratko I. Factors affecting diminishing returns for searching deeper. ICGA Journal 30(2): 75-84, 2007.
  • Luštrek M, Gams M, Bratko I. Is real-valued minimax pathological? Artificial Intelligence 170(6-7): 620-642, 2006.
  • Sadikov A, Bratko I. Pessimistic heuristics beat optimistic ones in real-time search. 16th European Conference on Artificial Intelligence – ECAI 2006 148-152, 2006.
  • Sadikov A, Bratko I, Kononenko I. Bias and pathology in minimax search. Theoretical Computer Science 349(2): 268-281, 2005.
ARTIFICIAL INTELLIGENCE IN EDUCATION
  • Iqbal A, van der Heijden H, Guid M, Makhmali A. Evaluating the Aesthetics of Endgame Studies: A Computational Model of Human Aesthetic Perception. IEEE Transactions on Computational Intelligence and AI in Games 4(3): 178-191, 2012.
  • Možina M, Guid M, Sadikov A, Groznik V, Bratko I: Goal-Oriented Conceptualization of Procedural Knowledge. Intelligent Tutoring Systems: 286-291, 2012.
  • Guid M, Krivec J, and Bratko I. An experiment in students' acquisition of problem solving skill from goal-oriented instructions. COGNITIVE 2012.
  • Guid M and Bratko I. Using Heuristic-Search Based Engines for Estimating Human Skill at Chess. ICGA Journal 34(2): 71-81, 2011.
  • Guid M, Možina M, Sadikov A, and Bratko I. Deriving Concepts and Strategies from Chess Tablebases. Advances in Computers and Games 12: 195-207, 2009.
  • Guid M, Bratko I. Computer Analysis of World Chess Champions. ICGA Journal 29(2): 65-73, 2006.
BEHAVIOUR CLONING
  • Šuc D, Bratko I. Symbolic and qualitative reconstruction of control skill, Electronic Transactions on Artificial Intelligence 3: 1-22, 1999.
BIOINFORMATICS
  • Curk T, Demsar J, Xu Q, Leban G, Petrovic U, Bratko I, Shaulsky G, Zupan B. Microarray data mining with visual programming. Bioinformatics 21(3): 396-398, 2005.
  • Leban G, Bratko I, Petrovic U, Curk T, Zupan B. VizRank: finding informative data projections in functional genomics by machine learning. Bioinformatics 21(3): 413-414, 2005.
  • Zupan B, Demsar J, Bratko I, Juvan P, Halter JA, Kuspa A, Shaulsky G. GenePath: a system for automated construction of genetic networks from mutant data, Bioinformatics 19(3): 383-389, 2003.

Partners

  • Institute of Oncology, Ljubljana (Tanja Čufer, Simona Borštnar)
  • Clinical Center, Ljubljana (Dragica Smrke)

Projects

Current Projects

Closed Projects

Aleks Jakulin, a former Ph.D. student at our Lab, received an ECCAI Artificial Intelligence Disertation Award. The award ceremony took place during an ECAI meeting on Aug 29, 2006. Congratulations!