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DTSTART;TZID=Europe/Berlin:20240502T100000
DTEND;TZID=Europe/Berlin:20240502T110000
DTSTAMP:20260408T142923
CREATED:20240424T112306Z
LAST-MODIFIED:20240813T103302Z
UID:19218-1714644000-1714647600@www.scienceofintelligence.de
SUMMARY:Joshua B. Evans\, “Creating Multi-Level Skill Hierarchies in Reinforcement Learning”
DESCRIPTION:Abstract:\n\nWhat is a useful skill hierarchy for an autonomous agent? In this talk\, we will consider a possible answer based on a graphical representation of how the interaction between an agent and its environment may unfold. The proposed approach uses modularity maximisation as a central organising principle to expose the structure of the interaction graph at multiple levels of abstraction. The result is a collection of skills that operate at varying time scales\, organised into a hierarchy\, where skills that operate over longer time scales are composed of skills that operate over shorter time scales. The entire skill hierarchy is generated automatically\, with no human intervention\, including the skills themselves (their behaviour\, when they can be called\, and when they terminate) as well as the hierarchical dependency structure between them. In a wide range of environments\, this approach generates skill hierarchies that are intuitively appealing and that considerably improve the learning performance agents given access to them. \n  \n\n\n\n\n\nThis talk will take place in person at SCIoI. \nPhoto by Bofu Shaw on Unsplash \n 
URL:https://www.scienceofintelligence.de/event/joshua-b-evans-creating-multi-level-skill-hierarchies-in-reinforcement-learning/
CATEGORIES:Thursday Morning Talk
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2024/04/bofu-shaw-yty30exygSI-unsplash-1536x1536-1.jpg
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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240516T100000
DTEND;TZID=Europe/Berlin:20240516T110000
DTSTAMP:20260408T142923
CREATED:20240424T113512Z
LAST-MODIFIED:20250603T124959Z
UID:19222-1715853600-1715857200@www.scienceofintelligence.de
SUMMARY:Alicia Burns\, “Predator-Prey Interactions in the Open Ocean”
DESCRIPTION:More details to follow. \nThis talk will take place in person at SCIoI. \nPhoto by: Rodrigo Friscione Wyssmann. \n 
URL:https://www.scienceofintelligence.de/event/shepherding-behaviour-in-predator-prey-interactions-p33/
CATEGORIES:Thursday Morning Talk
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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240523T100000
DTEND;TZID=Europe/Berlin:20240523T110000
DTSTAMP:20260408T142923
CREATED:20240424T114021Z
LAST-MODIFIED:20250603T124944Z
UID:19227-1716458400-1716462000@www.scienceofintelligence.de
SUMMARY:Asieh Daneshi\, “The Effect of Group Size and Group Density on Behavioral Contagion in Humans”
DESCRIPTION:More details to follow. \n  \nThis talk will take place in person at SCIoI. \n 
URL:https://www.scienceofintelligence.de/event/asieh-daneshi-the-effect-of-group-size-and-group-density-on-behavioral-contagion-in-humans/
CATEGORIES:Thursday Morning Talk
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2024/04/IMG_6596-1536x1536-1-1024x1024-1-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240530T100000
DTEND;TZID=Europe/Berlin:20240530T110000
DTSTAMP:20260408T142923
CREATED:20240424T083921Z
LAST-MODIFIED:20240813T103215Z
UID:19215-1717063200-1717066800@www.scienceofintelligence.de
SUMMARY:Verena Wagner (University of Konstanz)\, “On Pause: Suspending Judgment and Abstaining in Machine Learning”
DESCRIPTION:Abstract:\n\nMachine Learning (ML) systems typically yield definitive outputs\, even when the underlying probabilities do not justify a decision. This poses a significant challenge in medical applications\, where patients rely on individualized diagnoses\, treatments\, and prognoses. A recent advancement in ML research addresses this issue by introducing so-called “abstention models\,” which enable ML systems to provide neutral outputs. From the perspective of a philosopher who works on cognitive neutrality and the suspension of judgment in human agents\, this is an interesting field to explore. In this talk\, I will introduce my philosophical theory of cognitive neutrality\, which promotes various ways of suspending judgment. Against this backdrop\, I will explore different abstention models and look for similarities and differences between suspension of judgment in humans and abstention in ML systems. In particular\, I will examine whether the distinctions outlined in my cognitive neutrality framework also manifest in different models of abstention. \n  \n\n\n\n\n\nThis talk will take place in person at SCIoI. \nPhoto by Markus Spiske on Unsplash. \n 
URL:https://www.scienceofintelligence.de/event/verena-wagner-university-of-konstanz-on-pause-suspending-judgment-and-abstaining-in-machine-learning/
CATEGORIES:Thursday Morning Talk
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2024/04/michael-dziedzic-aQYgUYwnCsM-uns-scaled.jpg
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