Zriadenie Fakulty informatiky a informačných technológií - FIIT STU

48 STU Faculty of Informatics and Information Technologiesvarious mechanisms of social learning in multiagent systems, duringwhich a transfer of knowledge is carried out from one agent to another.Intelligent Embedded Systems (IVS) (VEGA, 1/0822/08)Project leader: Š. KozákMembers: V. Vojtek, T. Krajčovič, J. Štefanovič, M. Čerňanský, J. Flochová,P. Čičák, M. Galbavý, J. Parízková, P. Drahoš, J. Laca, R. ValoSupported by: Scientific Grant Agency of the Ministry of Education of Slovak Republicand the Slovak Academy of SciencesDuration: January 2008 – December 2010Description: The project consists of three interconnected parts: (i) development ofmethods and tools for intelligent synthesis of complex systems includingcontinuous-time and discrete-event dynamics; (ii) developmentof information and communication software tools and systemsproviding intelligent and real-time communication and control operation;(iii) development of application hardware and software modulesof intelligent embedded software systems applicable in various processes(transportation, industry, health care, banking and service business).Connectionist Computational Models for Computer Grid Environment(VEGA, 1/0848/08)Project leader: M. ČerňanskýMembers:Supported by:J. Pospíchal, Š. Babinec, D. Bernát, M. MakulaScientific Grant Agency of the Ministry of Education of Slovak Republicand the Slovak Academy of SciencesDuration: January 2008 – December 2010Description:Common feedforward neural networks are a successful approach ofartificial intelligence. Specialized recurrent neural networks wereproposed to process structured data such as sequences, trees orgraphs. Despite the high application potential of the latter type ofneural networks, they have not yet become a widely used and acceptedapproach. The high computational requirements of these advancedtraining approaches have prevented recurrent networks tobecome widespread and generally accepted computing devices.Application of Neural Networks with Echo States to Time Series Prediction(VEGA, 1/4053/07)Project leader: J. PospíchalMembers: V. Kvasnička, P. Lacko, P. Trebatický, Š. Babinec, M. Čerňanský,J. Laca, T. SelnekovičSupported by: Scientific Grant Agency of the Ministry of Education of Slovak Republicand the Slovak Academy of SciencesDuration: January 2007 – December 2009Description:The goal of the project is a study of a modern approach to recurrentneural networks, which is exceptionally suitable for a prediction of