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At the Laboratory of Artificial Intelligence and Multi-Agent Systems our research is focused on the development of models and architectures for single- and multi-agent systems endowed with artificially intelligent behavior, on the one hand, and on ambient intelligence, smart web services, and web agents, on the other hand.


Knowledge Engineering Group

The Knowledge Engineering Group (KEG), lead by Prof. Rodica Potolea, PhD, is addressing problems for knowledge extraction, representation, storage and management that the information era has brought in various segments of human activity due to data overload.

The main fundamental theoretical aspects our group focuses on are: dealing with problem-specific features extraction from both structured data, pre-processing techniques for handling noisy and/or incomplete data, learning from balanced/unbalanced and structured/unstructured data.