Research areas


Artificial intelligence and expert systems:

  • development of expert systems;
  • knowledge bases;
  • methods of knowledge acquisition;
  • machine learning;
  • evolutionary computation;
  • neural networks;
  • artificial immune systems;

General problems of multi-agent systems

  • development of specific agent architectures;
  • maintaining of functional integrity of multi-agent systems;
  • conflicts, compromises and negotiations;
  • market approach, renewable resources management;

Computational science:

  • hierarchical genetic algorithms,
  • modeling of heuristic systems,
  • adaptive finite element method simulations,
  • Computer Aided Design / Computer Aided Engineering  (CAD/CAE) systems
  • parallel direct solvers for distributed and shared memory architectures
  • isogeometric analysis

Intelligent agent-based information and decision support systems

  • rule-based decentralized expert systems;
  • knowledge aquisition in heterogenous environments;
  • group decision support systems;
  • e-commerce;
  • systems for computer-aided teaching;
  • expert systems for casting defects diagnosis;
  • frameworks for information shopping systems;

Organization of computation process using multi-agent systems:

  • evolutionary multi-agent systems;
  • adaptive multiobjective optimization and classification techniques - approaches based on neural networks and fuzzy logic;

Technology of multi-agent systems

  • mobility in network environment;
  • interoperability between different agent platforms;

Methodology of design and implementation of information systems:

  • relational and object oriented databases;
  • CASE methodology;
  • data mining;
  • data on-line analytical processing (OLAP)
  • social network analysis.

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