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

• Seminar Intelligent Systems
• Seminar Algorithmic Economics
• Seminarium "Machine Learning"

Employees and PhD students

• dr Kazimierz Grygiel

  Evolutionary algorithms, neural networks

• dr hab. Andrzej Janusz
• dr hab. Tomasz Michalak, prof. ucz.
• dr hab. Anh Linh Nguyen, prof. ucz.

  Modal logic, description logic, automated reasoning, deductive databases

• dr hab. Hung Son Nguyen, prof. ucz.

  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
• prof. dr hab. inż. Andrzej Skowron

  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. Jacek Sroka

  Algorithmic game theory, computational social choice theory

• dr hab. Krzysztof Szafran

  Computational linguistics, natural language processing - morphology and syntax

• 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