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Artificial Intelligence and Multiagent Systems
Description
Diverse topics in artificial intelligence, comprising machine learning, data mining and neural networks. Natural language processing. Theoretical foundations of multiagent systems: various aspects of distributed cooperative problem solving.
Seminars
Employees and PhD students
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prof. dr hab. Barbara Dunin-Kęplicz
Formal modeling of multiagent systems, approximate multiagent systems, multimodal logics, incomplete, uncertain, imprecise and inconsistent knowledge
- dr Andrzej Janusz
- dr Tomasz Michalak
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dr hab. Anh Linh Nguyen, prof. UW
Modal logic, description logic, automated reasoning, deductive databases
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dr hab. Hung Son Nguyen, prof. UW
Logic and algorithmic aspects of artificial intelligence; approximate reasoning under uncertainty; rough sets and rough mereology; text and web mining, knowledge discovery; nonconventional models of computing, in particular evolutionary computing, neural networks, granular computing, computing with words, perception based computing; decision support systems; applications of multiagent systems; approximate boolean reasoning
- dr hab. Jakub Pawlewicz
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dr Jacek Sroka
Algorithmic game theory, computational social choice theory
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prof. dr hab. Andrzej Szałas
Non-monotonic reasoning, knowledge representation, rule-based languages, logics for multi-agent systems, incomplete, uncertain, imprecise and inconsistent knowledge in multiagent systems, knowledge fusion
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dr Marcin Szczuka
Logic and algorithmic aspects of artificial intelligence; approximate reasoning under uncertainty; rough sets and rough mereology; text and web mining, knowledge discovery; nonconventional models of computing, in particular evolutionary computing, neural networks, granular computing, computing with words, perception based computing; decision support systems; applications of multiagent systems; approximate boolean reasoning
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prof. dr hab. Dominik Ślęzak
Data Warehousing, Data Mining, Rough Sets, Feature Selection
