BEGIN:VCALENDAR VERSION:2.0 PRODID:ILLC Website X-WR-TIMEZONE:Europe/Amsterdam BEGIN:VTIMEZONE TZID:Europe/Amsterdam X-LIC-LOCATION:Europe/Amsterdam BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:19700329T020000 RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=-1SU END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:19701025T030000 RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU END:STANDARD END:VTIMEZONE BEGIN:VEVENT UID:/NewsandEvents/Archives/2020/newsitem/11419/7- September-2020-ECAI2020-workshop-NETREASON-Online DTSTAMP:20200818T140213 SUMMARY:ECAI2020 workshop NETREASON, Online DTSTART;TZID=Europe/Amsterdam:20200907T100000 DTEND;TZID=Europe/Amsterdam:20200907T150500 LOCATION:Online DESCRIPTION:This workshop focuses on the issues of information spread in a social network of natural and artificial agents as studied by the emerging interdisciplinary field of multi-agent systems, re asoning and social network analysis. COVID-19 not e: the workshop will follow ECAI. If they go virtu al, we go virtual (editor's note: they do). The c all is for scientific papers, which report novel r esearch in the areas (but not limited to): Logic b ased models of social networks phenomena, Epistemi c models on graphs, Strategic behaviour in opinion diffusion, Computational issues in opinion diffus ion, Computational Trust, Collective information d istortions and how to prevent them, Model checking and verification of social network phenomena. X-ALT-DESC;FMTTYPE=text/html:
This work shop focuses on the issues of information spread i n a social network of natural and artificial agent s as studied by the emerging interdisciplinary fie ld of multi-agent systems, reasoning and social ne twork analysis.
\n\nCOVID-19 note: the wor kshop will follow ECAI. If they go virtual, we go virtual (editor's note: they do).
The call is for scientific papers, which repo rt novel research in the areas (but not limited to ): Logic based models of social networks phenomena , Epistemic models on graphs, Strategic behaviour in opinion diffusion, Computational issues in opin ion diffusion, Computational Trust, Collective inf ormation distortions and how to prevent them, Mode l checking and verification of social network phen omena.