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PRODID:-//Biomedical Mathematics Group - ECPv6.15.20//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Biomedical Mathematics Group
X-ORIGINAL-URL:https://www.ibs.re.kr/bimag
X-WR-CALDESC:Events for Biomedical Mathematics Group
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
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BEGIN:VTIMEZONE
TZID:Asia/Seoul
BEGIN:STANDARD
TZOFFSETFROM:+0900
TZOFFSETTO:+0900
TZNAME:KST
DTSTART:20210101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Seoul:20221223T150000
DTEND;TZID=Asia/Seoul:20221223T170000
DTSTAMP:20260425T132629
CREATED:20221222T082248Z
LAST-MODIFIED:20221222T082248Z
UID:7075-1671807600-1671814800@www.ibs.re.kr
SUMMARY:Olive Cawiding\, Optimal control of aging in complex networks
DESCRIPTION:We will discuss about “Optimal control of aging in complex networks”\,\nSun\, Eric D.\, Thomas CT Michaels\, and L. Mahadevan\, Proceedings of the National Academy of Sciences 117.34 (2020): 20404-20410. \nAbstract \n\n\n\nMany complex systems experience damage accumulation\, which leads to aging\, manifest as an increasing probability of system collapse with time. This naturally raises the question of how to maximize health and longevity in an aging system at minimal cost of maintenance and intervention. Here\, we pose this question in the context of a simple interdependent network model of aging in complex systems and show that it exhibits cascading failures. We then use both optimal control theory and reinforcement learning alongside a combination of analysis and simulation to determine optimal maintenance protocols. These protocols may motivate the rational design of strategies for promoting longevity in aging complex systems with potential applications in therapeutic schedules and engineered system maintenance.
URL:https://www.ibs.re.kr/bimag/event/2022-12-23-jc/
LOCATION:B378 Seminar room\, IBS\, 55 Expo-ro Yuseong-gu\, Daejeon\, 34126\, Korea\, Republic of
CATEGORIES:Journal Club
ORGANIZER;CN="Jae Kyoung Kim":MAILTO:jaekkim@kaist.ac.kr
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