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DTSTART;TZID=Europe/Brussels:20220407T130000
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CREATED:20220217T091156Z
LAST-MODIFIED:20221114T100358Z
UID:1599-1649336400-1649340000@www.naxys.be
SUMMARY:Alessio Franci (Universidad Nacional Autónoma de México\, México)
DESCRIPTION:Title: DECISION FROM INDECISION IN MULTI-AGENT MULTI-OPTION DYNAMICS \nHow does a group of agents break indecision about a set of options? Many biological and artificial multi-agent systems\, from honeybees and bird flocks to bacteria and humans\, face indecision when choosing between options in situations in which the fitness or even the survival of the group is at stake. Here\, we develop a mathematical theory to study decision from indecision. Our approach is grounded in network bifurcation theory. We model decision from indecision as synchrony-breaking in influence networks in which each node is the value assigned by an agent to an option. We show that there are three generic types of value patterns emerging at synchrony-breaking bifurcations for influence networks: deadlock\, consensus\, dissensus. Deadlock and consensus value patterns are predicted by the symmetry of the influence networks. Conversely\, we show that there are many “exotic” dissensus value patterns; that is\, patterns that are not predicted by network symmetries\, but are predicted by network architecture. Numerical simulations of a novel influence network model illustrate our theoretical results. \n\nThis is a joint work with Martin Golubitsky\, Ian Stewart\, Anastasia Bizyaeva\, and Naomi E. Leonard.\n\n\nThe seminar will take place in room S08 at the Faculty of Sciences
URL:https://www.naxys.be/event/alessio-franci-universidad-nacional-autonoma-de-mexico/
CATEGORIES:NAXYS Seminar
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DTSTART;TZID=Europe/Brussels:20220421T130000
DTEND;TZID=Europe/Brussels:20220421T140000
DTSTAMP:20260430T200020
CREATED:20220105T094247Z
LAST-MODIFIED:20220324T133636Z
UID:1515-1650546000-1650549600@www.naxys.be
SUMMARY:Matteo Romano (Université de Namur)
DESCRIPTION:Title:\nStudying the topology of the space population using networks \nAbstract:\nWith more than 23.000 tracked objects orbiting Earth\, satellite operators find themselves dealing with hundreds of conjunctions at risk of collision per week\, situation only getting worse due to the increasingly frequent satellite launches in recent years. Within the WALSAT project\, in collaboration with the industrial partner Aerospacelab\, we aim to represent the space population as a network in order to exploit its properties to study the topology of the population as a whole. The catalogue objects are represented as nodes and links between them are established whenever a close encounter occurs over a given time window. The resulting network is then analysed in terms of properties such as degree\, centrality\, and clustering to identify the most dangerous objects. Moreover\, by weighting the links using the collision probability or the associated risk\, we can identify the most sensitive orbital regions and the objects contributing the most to the overall collisional risk. \n  \nThe seminar will take place in room S08 at the Faculty of Sciences
URL:https://www.naxys.be/event/matteo-romano-universite-de-namur/
CATEGORIES:NAXYS Seminar
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