Intelligent Systems E9


Research departments
Administration and support units


The principal goals of the Department of Intelligent Systems are to contribute to the computational theory of intelligence and to develop high-impact practical applications in areas such as intelligent information systems, data analysis, intelligent web retrieval, decision support, intelligent agents, medicine, ecology, language technologies, intelligent manufacturing, and economy.

The Department of Intelligent Systems is one of the established European computer science research groups with a 20 year tradition in R&D in artificial intelligence, intelligent systems, medical informatics, natural language processing, and cognitive sciences. Members of the Department have developed several applied intelligent systems that were recognized both nationally and worldwide.


  • Inductive logic programming
  • Evolutionary computation
  • Multistrategy learning and principles of multiple knowledge
  • Web mining
  • Knowledge synthesis for systems modeling and control
  • Decision support systems
  • Principles of intelligence and cognitive sciences
  • Intelligent agents and multiagent systems
  • Artificial intelligence in medicine
  • Speech synthesis
  • Ontologies and semantic web
  • Game playing analysis

Departmental web pages

Head of Department
Prof. MatjaĆŸ Gams, Ph. D.,
Telephone: +386 1 477 36 44

Vesna Koricki,
Telephone: (01) 477 39 68
Lana Zemljak,
Telephone: (01) 477 33 56

The mission of the Department of Intelligent Systems is achieving scientific and technological excellence in the wide area of theoretical and applied computer science. Covering a wide spectrum of artificial intelligence fields, the Department successfully participates in preparing and realizing complex research and applied projects. Evolutionary computation is a research area dealing with computer problem solving based on natural evolution. Programs designed according to these principles are known as evolutionary algorithms and are being successfully applied in optimization, for example, in production scheduling and process parameter tuning.

Web mining makes it possible to extract knowledge from the documents accessible on the Internet. Our research of semantic web is aimed at upgrading current representations of data on the Internet and overcoming the imperfections of automated text categorization. This research successfully builds upon the constructed ontologies, i.e. graphs of semantically related concepts encoded in a computer readable form.

Game playing is a traditional research area in artificial intelligence with a long history. Its impact is significant because it deals not only with game-playing rograms, but also with search algorithms in general, planning, decision support, etc. Intelligent agents and multiagent systems are a more recently developed area. With the rise of the Internet it has gained the ability to analyze and solve complex problems. Distributed and independent agents can cooperate to achieve goals beyond the reach of single agents. Speech synthesis is another field where we are extending the capabilities of computers by enabling them to generate Slovene speech from text.

Educating and guiding young researchers are among the highest priorities of the Department of Intelligent Systems. Students at various levels and postdoctoral researchers are provided with stimulating research environment and advanced equipment, and get the opportunity to collaborate with established experts on challenging tasks.

J. Stefan Institute, Jamova 39, 1000 Ljubljana, Slovenia, Telephone: +386 1 477 39 00, Fax: +386 1 251 93 85