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X-WR-CALDESC:Events for scienceofintelligence.de
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DTSTART;TZID=Europe/Berlin:20241016T193000
DTEND;TZID=Europe/Berlin:20241016T210000
DTSTAMP:20260428T105423
CREATED:20240917T101834Z
LAST-MODIFIED:20250603T124757Z
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SUMMARY:Berlin Brains – Restless Gaze\, Stable Vision: SCIoI Members Martin Rolfs and Nina Hanning @Zeiss Grand Planetarium Berlin
DESCRIPTION:Live Event at Zeiss-Großplanetarium (Zeiss Grand Planetarium)\, Berlin with SCIoI memebers Martin Rolfs and Nina Hanning\, titled “Restless gaze\, stable vision: The camera work of our eyes.” \nAbout:\nOur eyes are restless; they constantly orient themselves toward new aspects of the environment. If they were cameras\, the recorded film would be dizzying. And yet our perception is continuous and stable. How does this work? And what does the gaze reveal about hidden attention processes in the brain? Martin Rolfs and Nina Hanning demonstrate how they measure these processes in humans and model their contribution to perception and behavior. \nThis event is organized by the Stiftung Planetarium Berlin. It will take place in German. \nFind more information on the event here. \n© Designed by Freepik
URL:https://www.scienceofintelligence.de/event/berlin-brains-restless-gaze-stable-vision-scioi-members-martin-rolfs-and-nina-hanning-zeiss-grand-planetarium-berlin/
LOCATION:Zeiss-Großplanetarium\, Prenzlauer Allee 80\, 10405 Berlin
CATEGORIES:External Event
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20241017
DTEND;VALUE=DATE:20241020
DTSTAMP:20260428T105423
CREATED:20240729T124714Z
LAST-MODIFIED:20240926T162253Z
UID:21224-1729123200-1729382399@www.scienceofintelligence.de
SUMMARY:Oliver Brock at TED AI Vienna 2024
DESCRIPTION:SCIoI spokesperson Oliver Brock will give a talk about artificial intelligence (AI) in Vienna (Austria)\, where\, for the first time\, a TED series of talks will be hosted\, to foster the understanding of AI innovation. \nWant to join or get more information? Click here.
URL:https://www.scienceofintelligence.de/event/oliver-brock-at-ted-ai-vienna-2024/
CATEGORIES:External Event
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2024/07/Screenshot-2024-09-04-at-13.45.25.jpg
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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20241017T160000
DTEND;TZID=Europe/Berlin:20241017T173000
DTSTAMP:20260428T105423
CREATED:20230802T122436Z
LAST-MODIFIED:20241010T111559Z
UID:16307-1729180800-1729186200@www.scienceofintelligence.de
SUMMARY:Jörg Raisch (Science of Intelligence)\, "Efficient and Privacy-Preserving Consensus in Multi-Agent Systems"
DESCRIPTION:Achieving consensus\, i.e.\, agreeing on objectives and on relevant aspects of the environment\, is a prerequisite whenever a group of individuals (“agents”) attempt to cooperatively solve a task. This requires information exchange between agents. In technical scenarios\, information exchange is via wireless communication channels\, which exhibit interference. Standard implementations aim at avoiding interference by resorting to multiplexing. However\, the resulting algorithms scale poorly with the number of agents and are inherently non-privacy preserving. We will discuss an alternative approach that\, by exploiting the wireless channel’s superposition property\, improves efficiency and preserves privacy. Results will be illustrated with examples from traffic automation\, such as automatic lane changing and distributed automation of traffic intersections for autonomous vehicles.\n\n\nThe reported results are based on joint work with F. Molinari\, S. Stanczak\, N. Agrawal\, and A. Grapentin (all TU Berlin)\n\n  \nThis talk will take place in person at SCIoI (room 2.057). \n 
URL:https://www.scienceofintelligence.de/event/pi-lecture-with-jorg-raisch-2/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:PI Lecture
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2023/08/raisch_800.jpg
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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20241022T160000
DTEND;TZID=Europe/Berlin:20241022T173000
DTSTAMP:20260428T105423
CREATED:20241015T142554Z
LAST-MODIFIED:20250603T124739Z
UID:22437-1729612800-1729618200@www.scienceofintelligence.de
SUMMARY:Heiko Hamann (Uni Konstanz\, SCIoI)\, “Introduction to Collective Robotics: A Formal Approach”
DESCRIPTION:Heiko Hamann is a roboticist with focus on collective systems. With his group he studies distributed robotics\, machine learning for robotics\, and bio-hybrid systems. In his collaboration with SCIoI member Pawel Romanczuk he investigates collective intelligence and especially the swarm robotics aspects of “Speed-accuracy tradeoffs in distributed collective decision making.” \nThis talk will take place as part of SCIoI member Mohsen Raoufi’s seminar “Introduction to Collective Robotics: Where Complexity Meets Robotics\,” which provides an overview on the topic of collective robotics while exploring key areas like complexity science\, network science\, and engineering. \nThis talk will be broadcasted live to the SCIoI premises under the following Link.
URL:https://www.scienceofintelligence.de/event/heiko-hamann-uni-konstanz-scioi-introduction-to-collective-robotics-a-formal-approach/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Hot Topics in Intelligence Research
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2024/05/hamann-heiko.jpg
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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20241029T160000
DTEND;TZID=Europe/Berlin:20241029T180000
DTSTAMP:20260428T105423
CREATED:20241022T090526Z
LAST-MODIFIED:20250603T124716Z
UID:22449-1730217600-1730224800@www.scienceofintelligence.de
SUMMARY:Alan Winfield (UWE Bristol)\, “Ethics in Collective Robotics”
DESCRIPTION:Alan Winfield is Professor of Electronic Engineering and Director of the Science Communication Unit at the University of the West of England\, Bristol. He conducts research in swarm robotics in the Bristol Robotics Laboratory and is especially interested in robots as working models of life\, evolution\, intelligence\, and culture. Alan is passionate about communicating science and technology. He holds an EPSRC Senior Media Fellowship with the theme Intelligent Robots in Science and Society\, and blogs about robots\, open science and related topics at his blog. Alan is a leading expert in robot ethics and cognitive robotics. \nThis talk will take place as part of SCIoI member Mohsen Raoufi’s seminar “Introduction to Collective Robotics: Where Complexity Meets Robotics\,” which provides an overview on the topic of collective robotics while exploring key areas like complexity science\, network science\, and engineering. \nThis talk will take place in person at SCIoI and will be available as a live stream.
URL:https://www.scienceofintelligence.de/event/alan-winfield-uwe-bristol-ethics-in-collective-robotics/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Hot Topics in Intelligence Research
ATTACH;FMTTYPE=image/webp:https://www.scienceofintelligence.de/wp-content/uploads/2024/10/Alan_Winfield_Talk_Poster-e1729779182919.webp
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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20241031T100000
DTEND;TZID=Europe/Berlin:20241031T110000
DTSTAMP:20260428T105423
CREATED:20241002T101830Z
LAST-MODIFIED:20250603T124704Z
UID:22386-1730368800-1730372400@www.scienceofintelligence.de
SUMMARY:POSTPONED: Anita Keshmirian (Forward College\, Berlin)\, “Many Minds\, Diverging Morals: Human Groups vs. AI in Moral Decision-Making”
DESCRIPTION:Abstract \n“Moral judgments are inherently social\, shaped by interactions with others in everyday life. Despite this\, psychological research has rarely examined the impact of social interactions on these judgments. In our study\, we explored the role of group dynamics in moral decision making by having small groups (4-5 participants) evaluate moral dilemmas first individually\, then collectively\, and finally individually a second time. Participants judged real-life and sacrificial moral dilemmas involving actions or inactions violating moral principles to benefit the greater good. Experiment 1 found that collective judgments were more utilitarian than individual judgments\, supporting the hypothesis that group deliberation temporarily reduces the emotional burden of violating moral norms. Experiment 2 measured participants’ state anxiety and moral judgments before\, during\, and after online interactions. Results again showed that collectives were more utilitarian\, reducing state anxiety during and after social interaction\, suggesting that stress reduction may explain the shift toward utilitarianism in group settings. \nWe replicated this experiment using multi-agent large language models (LLMs) to test how artificial agents make moral decisions. Preliminary findings revealed that\, unlike humans\, groups of LLM agents were less utilitarian than individual agents. Analysis of the agents’ interactions showed a consistent pattern of virtue-signaling\, with LLMs emphasizing deontological reasoning (focusing on moral rules) rather than utilitarian principles. This divergence from human behavior suggests that collective reasoning in AI systems is shaped by different dynamics\, likely due to how LLMs are trained to prioritize socially accepted norms. These results highlight important differences in moral decision-making between human and artificial intelligence\, offering new insights into the development of AI systems that more closely mirror human ethical reasoning\, particularly in complex\, real-world collective decision-making scenarios.” \nImage credit: ©SCIoI/ generated with DALL-E
URL:https://www.scienceofintelligence.de/event/anita-keshmirian-forward-college-berlin-many-minds-diverging-morals-human-groups-vs-ai-in-moral-decision-making/
LOCATION:Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Thursday Morning Talk
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