{"id":7075,"date":"2022-12-22T17:22:48","date_gmt":"2022-12-22T08:22:48","guid":{"rendered":"https:\/\/www.ibs.re.kr\/bimag\/?post_type=tribe_events&p=7075"},"modified":"2022-12-22T17:22:48","modified_gmt":"2022-12-22T08:22:48","slug":"2022-12-23-jc","status":"publish","type":"tribe_events","link":"https:\/\/www.ibs.re.kr\/bimag\/event\/2022-12-23-jc\/","title":{"rendered":"Olive Cawiding, Optimal control of aging in complex networks"},"content":{"rendered":"

We will discuss about \u201cOptimal control of aging in complex networks\u201d,
\nSun, Eric D., Thomas CT Michaels, and L. Mahadevan, Proceedings of the National Academy of Sciences<\/i>\u00a0117.34 (2020): 20404-20410.<\/p>\n

Abstract<\/p>\n

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Many 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.<\/div>\n<\/section>\n<\/div>\n<\/div>\n
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<\/div>\n<\/section>\n","protected":false},"excerpt":{"rendered":"

We will discuss about \u201cOptimal control of aging in complex networks\u201d, Sun, Eric D., Thomas CT Michaels, and L. Mahadevan, Proceedings of the National Academy of Sciences\u00a0117.34 (2020): 20404-20410. Abstract … <\/p>\n

Continue reading “Olive Cawiding, Optimal control of aging in complex networks”<\/span><\/a><\/p>\n","protected":false},"author":4,"featured_media":0,"template":"","meta":{"_editorskit_title_hidden":false,"_editorskit_reading_time":0,"_editorskit_is_block_options_detached":false,"_editorskit_block_options_position":"{}","_uag_custom_page_level_css":"","_tribe_events_status":"","_tribe_events_status_reason":"","footnotes":""},"tags":[],"tribe_events_cat":[219],"class_list":["post-7075","tribe_events","type-tribe_events","status-publish","hentry","tribe_events_cat-journal-club","cat_journal-club"],"yoast_head":"\nOlive Cawiding, Optimal control of aging in complex networks - Biomedical Mathematics Group<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.ibs.re.kr\/bimag\/event\/2022-12-23-jc\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Olive Cawiding, Optimal control of aging in complex networks - Biomedical Mathematics Group\" \/>\n<meta property=\"og:description\" content=\"We will discuss about \u201cOptimal control of aging in complex networks\u201d, Sun, Eric D., Thomas CT Michaels, and L. 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Mahadevan, Proceedings of the National Academy of Sciences\u00a0117.34 (2020): 20404-20410. 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