BEGIN:VCALENDAR VERSION:2.0 METHOD:PUBLISH PRODID:-//Missouri State University/Calendar of Events//EN CALSCALE:GREGORIAN X-WR-TIMEZONE:America/Chicago BEGIN:VTIMEZONE TZID:America/Chicago BEGIN:DAYLIGHT TZOFFSETFROM:-0600 TZOFFSETTO:-0500 DTSTART:20070311T020000 RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU TZNAME:CDT END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0500 TZOFFSETTO:-0600 DTSTART:20071104T020000 RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU TZNAME:CST END:STANDARD END:VTIMEZONE BEGIN:VEVENT UID:d9f8e415-5b03-47ac-9cbc-cdc47a7ef362.192462@calendar.missouristate.edu CREATED:20181031T141912Z LAST-MODIFIED:20181031T141912Z LOCATION:Cheek Hall 0151 SUMMARY:Evolving Effective Micro Behaviors in Real-Time Strategy Games DESCRIPTION:Dr. Siming Liu is an Assistant Professor Candidate in Computer Science.\n\n\n\n\n\nHis research focuses on investigating heuristic sear ch algorithms to generate high-quality micro management in combat scenari os for real-time strategy (RTS) games. In his study he uses influence map s and potential fields as a basis representation to evolve short-term pos itioning and movement tactics. The goal of his work is to use evolutionar y algorithms to build a complete RTS bot capable of performing as well as human experts. X-ALT-DESC;FMTTYPE=text/html:<html><head><title></title></head><body><p>Dr . Siming Liu is an Assistant Professor Candidate in Computer Science.</p> \n<p></p>\n<p>His research focuses on investigating heuristic search algo rithms to generate high-quality micro management in combat scenarios for real-time strategy (RTS) games. In his study he uses influence maps and p otential fields as a basis representation to evolve short-term positionin g and movement tactics. The goal of his work is to use evolutionary algor ithms to build a complete RTS bot capable of performing as well as human experts.</p></body></html> DTSTART;TZID=America/Chicago:20181108T120000 DTEND;TZID=America/Chicago:20181108T130000 SEQUENCE:0 URL: CATEGORIES:Current Students,Faculty,Staff END:VEVENT END:VCALENDAR