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DESCRIPTION:Solving the multi-agent herding control problem: theory and app
 lications\n\nThe emergence of coordinated action between groups of interac
 ting individuals or agents is a common feature of multi-agent complex syst
 ems in Nature and Technology. Often different groups of agents need to int
 eract to control and tame their behaviour. Among these types of behaviour\
 , a notable case of study is that of herding where a group of “active ag
 ents” (the herders or controllers) is assigned the task of corralling an
 d drive another set of agents (the herd) towards a desired goal region and
  maintain them therein\, or to make the herd follow a desired path or traj
 ectory. In Nature this is precisely what shepherd dogs do when controlling
  the motion of a group of flocking sheep. In Applied Science similar herdi
 ng tasks have applications in robotic exploration\, search and rescue oper
 ations\, surveillance and containment and\, more recently\, in the study o
 f human cooperation and interaction. Currently\, this problem is studied o
 ften assuming some simplifying properties such as that the target agents h
 ave a tendency to aggregate or flock with each other. Moreover it is often
  assumed that one or two agents are tasked with the goal of corralling the
  target agents without an explicit need to cooperate and share information
  in order to solve efficiently the problem. In this talk I will present re
 cent work carried out by my group to model and analyse herding behaviour i
 n complex systems in order to solve the herding control problem in the abs
 ence of some often made simplifying assumptions. After presenting the math
 ematical control problem of interest\, I will discuss some of the solution
 s we proposed and investigate applications in human-machine cooperation an
 d the emergence of coordinated behaviour in multi-agent systems.\n\nCo-spo
 nsored by: kihas@ieee.org\n\nSpeaker(s): Mario di Bernardo \, \n\nAgenda: 
 \nAgenda:\n\nWelcome: 4:00pm-4:10pm\n\nTalk: 4:10pm - 5:00pm\n\nDiscussion
 : 5:00pm - 5:30pm\n\nRoom: ASB 10704\, Bldg: Applied Science Building \, S
 imon Fraser University\, Burnaby Campus \, Burnaby \, British Columbia\, C
 anada\, Virtual: https://events.vtools.ieee.org/m/431027
LOCATION:Room: ASB 10704\, Bldg: Applied Science Building \, Simon Fraser U
 niversity\, Burnaby Campus \, Burnaby \, British Columbia\, Canada\, Virtu
 al: https://events.vtools.ieee.org/m/431027
ORGANIZER:ljilja@sfu.ca
SEQUENCE:30
SUMMARY:Solving the multi-agent herding control problem: theory and applica
 tions\, Prof. Mario di Bernardo 
URL;VALUE=URI:https://events.vtools.ieee.org/m/431027
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;&lt;strong&gt;&lt;span style=&quot;font-size: 12.0pt\; l
 ine-height: 107%\; font-family: &#39;Aptos&#39;\,sans-serif\; mso-fareast-font-fam
 ily: &#39;Times New Roman&#39;\; mso-bidi-font-family: Arial\; color: #222222\; ms
 o-font-kerning: 0pt\; mso-ligatures: none\; mso-ansi-language: EN-CA\; mso
 -fareast-language: EN-CA\; mso-bidi-language: AR-SA\;&quot;&gt;Solving the multi-a
 gent herding control problem: theory and applications&amp;nbsp\;&lt;/span&gt;&lt;/stron
 g&gt;&lt;span style=&quot;font-size: 12.0pt\; line-height: 107%\; font-family: &#39;Arial
 &#39;\,sans-serif\; mso-fareast-font-family: &#39;Times New Roman&#39;\; color: #22222
 2\; mso-font-kerning: 0pt\; mso-ligatures: none\; mso-ansi-language: EN-CA
 \; mso-fareast-language: EN-CA\; mso-bidi-language: AR-SA\;&quot;&gt;&lt;br&gt;&lt;br&gt;The e
 mergence of coordinated action between groups of interacting individuals o
 r agents is a common feature of multi-agent complex systems in Nature and 
 Technology. Often different groups of agents need to interact to control a
 nd tame their behaviour. Among these types of behaviour\, a notable case o
 f study is that of &lt;/span&gt;&lt;em&gt;&lt;span style=&quot;font-size: 12.0pt\; line-height
 : 107%\; font-family: &#39;Aptos&#39;\,sans-serif\; mso-fareast-font-family: &#39;Time
 s New Roman&#39;\; mso-bidi-font-family: Arial\; color: #222222\; mso-font-ker
 ning: 0pt\; mso-ligatures: none\; mso-ansi-language: EN-CA\; mso-fareast-l
 anguage: EN-CA\; mso-bidi-language: AR-SA\;&quot;&gt;herding&amp;nbsp\;&lt;/span&gt;&lt;/em&gt;&lt;sp
 an style=&quot;font-size: 12.0pt\; line-height: 107%\; font-family: &#39;Arial&#39;\,sa
 ns-serif\; mso-fareast-font-family: &#39;Times New Roman&#39;\; color: #222222\; m
 so-font-kerning: 0pt\; mso-ligatures: none\; mso-ansi-language: EN-CA\; ms
 o-fareast-language: EN-CA\; mso-bidi-language: AR-SA\;&quot;&gt;where a group of &amp;
 ldquo\;active agents&amp;rdquo\; (the herders or controllers) is assigned the 
 task of corralling and drive another set of agents (the herd) towards a de
 sired goal region and maintain them therein\, or to make the herd follow a
  desired path or trajectory. In Nature this is precisely what shepherd dog
 s do when controlling the motion of a group of flocking sheep. In Applied 
 Science similar herding tasks have applications in robotic exploration\, s
 earch and rescue operations\, surveillance and containment and\, more rece
 ntly\, in the study of human cooperation and interaction.&amp;nbsp\;&amp;nbsp\;Cur
 rently\, this problem is studied often assuming some simplifying propertie
 s such as that the target agents have a tendency to aggregate or flock wit
 h each other. Moreover it is often assumed that one or two agents are task
 ed with the goal of corralling the target agents without an explicit need 
 to cooperate and share information in order to solve efficiently the probl
 em. In this talk I will present recent work carried out by my group to mod
 el and analyse herding behaviour in complex systems in order to solve the 
 herding control problem in the absence of some often made simplifying assu
 mptions. After presenting the mathematical control problem of interest\, I
  will discuss some of the solutions we proposed and investigate applicatio
 ns in human-machine cooperation and the emergence of coordinated behaviour
  in multi-agent systems.&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;&lt;br /&gt;&lt;br /&gt;Agenda: &lt;br
  /&gt;&lt;p&gt;Agenda:&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;Welcome: 4:00pm-4:10pm&lt;/p&gt;\n&lt;p&gt;Talk: 4:10pm -
  5:00pm&lt;/p&gt;\n&lt;p&gt;Discussion: 5:00pm - 5:30pm&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;
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