BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/Denver BEGIN:DAYLIGHT DTSTART:20220313T030000 TZOFFSETFROM:-0700 TZOFFSETTO:-0600 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:MDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20221106T010000 TZOFFSETFROM:-0600 TZOFFSETTO:-0700 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:MST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20220523T201753Z UID:8010EFAA-BF21-4856-97BC-E5BF41DC04F8 DTSTART;TZID=America/Denver:20220519T180000 DTEND;TZID=America/Denver:20220519T193000 DESCRIPTION:Abstract\n\nTactical warfare is the maneuvering within a pre-pl anned path in a battleground to gain additional advantages while still mai ntaining focus on the mission. As technology advances\, the battleground h as been expanded from a 2-dimensional environment on the ground to a more complex 3-dimensional environment in the air and space above the ground. I n this scenario\, aircrafts are used as vehicles carrying weapons to deliv er them to the targets. The war scenario is an ongoing battle: as soon as one side gains an advantage through the use of aircrafts\, the other side will also develop and use aircrafts of similar capability to neutralize th at advantage\; and implement an air defense system to prevent the attackin g aircraft to successfully accomplish their mission.\n\nIn this project\, AI technology is used to develop a well-known tactic of avoiding a heat se eking missile into an implementable algorithm that can be deployed by an o nboard computer. The tactic\, while well known\, has a limitation due to t he onboard instrumentation that does not tell the pilot\, through visualiz ation\, the exact position and velocity of an incoming missile even though sensors already had this complete information. Thus\, the algorithm provi des an additional advantage of visualizing exactly the positions and veloc ities of the aircraft under attack and the incoming missile so that artifi cial bias can be calculated and implemented to push the aircraft out of th e path of the missile to avoid the collision. Computer simulations showed the effectiveness of the algorithm\, even in scenarios where more than one missile is used in an attack. However\, the human in the loop (pilots)\, while recognizing the effectiveness\, still prefer manual control because it is their life on the line and they understandably want to manage it wit h the skills that they already acquired through rigorous training.\n\nThe discussion of the results will examine a scheme known as augmented intelli gence where the AI algorithm still allows the pilot the complete control o f the aircraft and only activates the additional bias at the last moment o f an imminent collision. This co-existence between human and machine can g ain easier acceptance while increasing the effectiveness of avoiding missi les. However\, as mentioned earlier\, as soon as one side gains some tacti cal advantages\, the other side will seek to neutralize this advantage. Th us\, this project also examines the use of swarm intelligence to coordinat e many missiles to attack an aircraft\, aiming the missiles at an envelope of attack instead of directly at the aircraft\, allowing the aircraft to maneuver only within the envelope while this envelope gradually shrinks to the eventual point of collision. Understanding this coordination will pro vide insights to improve the missile avoidance beyond the current tactics in the future.\n\nSpeaker(s): Dr. Trung T. Pham\, \n\nColorado Springs\, C olorado\, United States\, Virtual: https://events.vtools.ieee.org/m/313620 LOCATION:Colorado Springs\, Colorado\, United States\, Virtual: https://eve nts.vtools.ieee.org/m/313620 ORGANIZER:genef@ieee.org SEQUENCE:7 SUMMARY:Using Artificial Bias to Assist Pilots in Avoiding Missiles URL;VALUE=URI:https://events.vtools.ieee.org/m/313620 X-ALT-DESC:Description: <br /><p style="font-weight: 400\;"><span style="fo nt-size: 18pt\;"><strong>Abstract</strong></span></p>\n<p style="font-weig ht: 400\;"><strong><span style="font-size: 14pt\;">Tactical warfare</span> </strong> is the maneuvering within a pre-planned path in a battleground t o gain additional advantages while still maintaining focus on the mission. As technology advances\, the battleground has been expanded from a 2-dime nsional environment on the ground to a more complex 3-dimensional environm ent in the air and space above the ground. In this scenario\, aircrafts ar e used as vehicles carrying weapons to deliver them to the targets. The wa r scenario is an ongoing battle: as soon as one side gains an advantage th rough the use of aircrafts\, the other side will also develop and use airc rafts of similar capability to neutralize that advantage\; and implement a n air defense system to prevent the attacking aircraft to successfully acc omplish their mission.</p>\n<p style="font-weight: 400\;">&nbsp\;</p>\n<p style="font-weight: 400\;">In this project\, <strong><span style="font-siz e: 14pt\;">AI technology</span></strong> is used to develop a well-known t actic of avoiding a heat seeking missile into an implementable algorithm t hat can be deployed by an onboard computer. The tactic\, while well known\ , has a limitation due to the onboard instrumentation that does not tell t he pilot\, through visualization\, the exact position and velocity of an i ncoming missile even though sensors already had this complete information. Thus\, the algorithm provides an additional advantage of visualizing exac tly the positions and velocities of the aircraft under attack and the inco ming missile so that artificial bias can be calculated and implemented to push the aircraft out of the path of the missile to avoid the collision. C omputer simulations showed the effectiveness of the algorithm\, even in sc enarios where more than one missile is used in an attack. However\, the hu man in the loop (pilots)\, while recognizing the effectiveness\, still pre fer manual control because it is their life on the line and they understan dably want to manage it with the skills that they already acquired through rigorous training.</p>\n<p style="font-weight: 400\;">&nbsp\;</p>\n<p sty le="font-weight: 400\;">The discussion of the results will examine a schem e known as <span style="font-size: 14pt\;"><strong>augmented intelligence< /strong></span> where the AI algorithm still allows the pilot the complete control of the aircraft and only activates the additional bias at the las t moment of an imminent collision. This co-existence between human and mac hine can gain easier acceptance while increasing the effectiveness of avoi ding missiles. However\, as mentioned earlier\, as soon as one side gains some tactical advantages\, the other side will seek to neutralize this adv antage. Thus\, this project also examines the use of swarm intelligence to coordinate many missiles to attack an aircraft\, aiming the missiles at a n envelope of attack instead of directly at the aircraft\, allowing the ai rcraft to maneuver only within the envelope while this envelope gradually shrinks to the eventual point of collision. Understanding this coordinatio n will provide insights to improve the missile avoidance beyond the curren t tactics in the future.</p> END:VEVENT END:VCALENDAR