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DTSTART;TZID=Europe/Berlin:20250422T140000
DTEND;TZID=Europe/Berlin:20250422T153000
DTSTAMP:20260423T103904
CREATED:20250319T103943Z
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SUMMARY:Ralf Kurvers (MPI for Human Development)\, “Individual\, Social and Ecological Drivers of Human Collective Foraging”
DESCRIPTION:Foraging complexity and competitive social challenges are considered key drivers of human cognition. Yet\, we still have a poor understanding of the decision-making mechanisms underlying foraging behavior\, especially in social contexts. In this talk\, I will combine immersive lab experiments\, field work using high-resolution tracking\, and computational and agent-based models to uncover the mechanisms guiding human foraging decisions. I hope to convince you that foraging provides a rich test bed to study a broad range of cognitive processes\, such as memory\, learning\, and evidence accumulation\, and that the current technological advancements allow us to do this even in the challenging conditions of the natural world. \n  \nThis talk is part of David Mezey‘s course “Introduction to Modeling Collective Behavior\, ” a seminar on collective behavior research\, combined with multiple interactive elements. \n  \n  \n 
URL:https://www.scienceofintelligence.de/event/ralf-kurvers-overview-of-human-collective-behavior/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Hot Topics in Intelligence Research
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DTSTART;TZID=Europe/Berlin:20250429T140000
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CREATED:20250319T104304Z
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SUMMARY:Marina Papadopoulou (Tuscia University)\, “Across the Swarm-Verse: The Self-Organization of Animal Collectives on the Move”
DESCRIPTION:From the daily movement of primate troops to the mesmerizing murmurations of starling flocks in the sky\, the dynamics of animal groups on the move fascinate us with the mystery of their underlying social interactions. In this talk\, I will first showcase how we combine empirical data and computational models based on self-organization to understand the individual rules that underlie collective behaviour\, using bird flocks under attack by a robotic predator as a case study. Given that identifying unique and common traits across systems is necessary to understand the ecological and evolutionary processes that shape the diversity of collective behaviour we see in nature\, I will further present the Swarm-Verse\, a new framework to quantify variation in collective motion across species\, using studies on fish\, goats\, pigeons and baboons. \nThis talk is part of David Mezey‘s course “Introduction to Modeling Collective Behavior\, ” a seminar on collective behavior research\, combined with multiple interactive elements. \n  \n  \n  \nImage created with DALL-E by Maria Ott
URL:https://www.scienceofintelligence.de/event/hannah-j-williams-centre-for-the-advanced-study-of-collective-behaviour-overview-of-sensory-basis-in-collective-behavior/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Hot Topics in Intelligence Research
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