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VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
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TZID:Europe/Bratislava
BEGIN:DAYLIGHT
DTSTART:20190331T030000
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3
TZNAME:CEST
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BEGIN:STANDARD
DTSTART:20181028T020000
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TZOFFSETTO:+0100
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10
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BEGIN:VEVENT
DTSTAMP:20190215T150302Z
UID:9C51DE12-CC66-4F9E-90E5-22A76A28303B
DTSTART;TZID=Europe/Bratislava:20190215T140000
DTEND;TZID=Europe/Bratislava:20190215T153000
DESCRIPTION:The subject of this seminar is an application of fuzzy cognitiv
 e maps for control of complex systems\, specifically the intelligent space
  based on a paradigm of the internet of things. A review of various method
 s and tools applicable to control complex systems will be provided. The fi
 rst part of introduces the methodology of situational control applicable t
 o control complex systems using the means of artificial intelligence\, wit
 h a focus on fuzzy cognitive maps. In the next part\, extensions to basic 
 fuzzy cognitive maps are proposed and implemented using a novel programmin
 g library with its appropriate web-based application programming interface
 . And finally\, this interface is used to prototype a specific model of si
 tuational control of intelligent space within a scope of a mobile robot na
 vigation.\n\nSpeaker(s): Michal Puheim\, \n\nRoom: B-520\, Bldg: Main buil
 ding\, Technical University of Kosice\, Letna 9\, Kosice\, Slovakia\, Slov
 akia\, 04200
LOCATION:Room: B-520\, Bldg: Main building\, Technical University of Kosice
 \, Letna 9\, Kosice\, Slovakia\, Slovakia\, 04200
ORGANIZER:jan.vascak@tuke.sk
SEQUENCE:1
SUMMARY:Alan Turing Seminar - Fuzzy Cognitive Maps for Control Tasks in Int
 elligent Space 
URL;VALUE=URI:https://events.vtools.ieee.org/m/192856
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;The subject of this seminar is an applicat
 ion of fuzzy cognitive maps for control of complex systems\, specifically 
 the intelligent space based on a paradigm of the internet of things. A rev
 iew of various methods and tools applicable to control complex systems wil
 l be provided. The first part of introduces the methodology of situational
  control applicable to control complex systems using the means of artifici
 al intelligence\, with a focus on fuzzy cognitive maps. In the next part\,
  extensions to basic fuzzy cognitive maps are proposed and implemented usi
 ng a novel programming library with its appropriate web-based application 
 programming interface. And finally\, this interface is used to prototype a
  specific model of situational control of intelligent space within a scope
  of a mobile robot navigation.&lt;/p&gt;
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