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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

  • 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
  • dr hab. Anh Linh Nguyen, prof. UW

    Modal logic, description logic, automated reasoning, deductive databases

  • 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
  • dr Jacek Sroka

    Algorithmic game theory, computational social choice theory

  • 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

  • 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

  • prof. dr hab. Dominik Ślęzak

    Data Warehousing, Data Mining, Rough Sets, Feature Selection