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</o:shapelayout></xml><![endif]--></head><body lang=EN-US link=blue vlink=purple><div class=WordSection1><p class=authors style='mso-margin-top-alt:0in;margin-right:0in;margin-bottom:6.0pt;margin-left:0in'><span style='font-size:24.0pt'>Bio-inspired Coalition Formation on Intrusion Detection by Mobile Robots<br></span><span style='font-size:14.0pt'>Prof. Yang Xiao, The University of Alabama<o:p></o:p></span></p><p class=MsoNormal align=center style='text-align:center'>N61, Engineering Building 1, 11:30am, Feb. 9<sup>th</sup> <o:p></o:p></p><p class=MsoNormal align=center style='text-align:center'>Host: Zhu Han<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=abstract style='mso-margin-top-alt:1.0pt;margin-right:0in;margin-bottom:0in;margin-left:0in;margin-bottom:.0001pt'><strong><span style='font-size:11.0pt;font-family:"Arial","sans-serif"'>Abstract</span></strong><span class=abstractchar><span style='font-size:11.0pt;font-family:"Arial","sans-serif"'>: </span></span><span style='font-size:11.0pt;font-family:"Arial","sans-serif"'>In this talk, inspired by the society of animals, we study the coalition formation of robots for detecting intrusions using game theory. We consider coalition formation in a group of three robots that detect and capture intrusions in a closed curve loop. In our analytical model, individuals seek alliances if they think that their detect regions are too short to gain an intrusion capturing probability larger than their own. We assume that coalition seeking has an investment cost and that the formation of a coalition determines the outcomes of parities, with the detect length of a coalition simply being the sum of those of separate coalition members.<span class=abstractchar><o:p></o:p></span></span></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal style='text-align:justify'><b><span style='font-size:11.0pt;font-family:"Arial","sans-serif"'>Bio</span></b><span style='font-size:11.0pt;font-family:"Arial","sans-serif"'>: Dr. Yang Xiao worked in industry as a MAC (Medium Access Control) architect involving the IEEE 802.11 standard enhancement work before he joined academia in 2002. He is currently with Department of Computer Science at The University of Alabama. His research areas are security, telemedicine, robot, sensor networks, and wireless networks. Dr. Xiao’s research has been supported by NSF, U.S. Army Research, etc.<o:p></o:p></span></p><p> <o:p></o:p></p></div></body></html>