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Wydział Matematyki, Informatyki i Mechaniki Uniwersytetu Warszawskiego

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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.

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Employees

  • Modal logic, description logic, automated reasoning, deductive databases
  • Formal modeling of multiagent systems, approximate multiagent systems, multimodal logics, incomplete, uncertain, imprecise and inconsistent knowledge
  • Evolutionary algorithms, neural networks
  • Databases and query languages for texts in natural language, computational linguistics, machine learning
  • Non-monotonic logics
  • Computational linguistics, natural language processing, corpus linguistics
  • 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
  • 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
  • Algorithmic game theory, computational social choice theory
  • 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
  • Computational linguistics, natural language processing - morphology and syntax
  • Non-monotonic reasoning, knowledge representation, rule-based languages, logics for multi-agent systems, incomplete, uncertain, imprecise and inconsistent knowledge in multiagent systems, knowledge fusion
  • Data Warehousing, Data Mining, Rough Sets, Feature Selection
  • Machine learning, data mining, decision systems