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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250603T140000
DTEND;TZID=Europe/Berlin:20250603T153000
DTSTAMP:20260420T170522
CREATED:20250226T122648Z
LAST-MODIFIED:20250606T131027Z
UID:23618-1748959200-1748964600@www.scienceofintelligence.de
SUMMARY:Jens Krause (Science of Intelligence)\, "The Adaptive Value of Collective Behavior"
DESCRIPTION:In this talk Jens Krause will discuss the adaptive value of collective behaviour from different perspectives. One perspective is the potential ability of groups or collectives to make better and even faster decisions. In this context Jens will show some of the modelling approaches to explain collective intelligence and the empirical support for them in the laboratory and in the field. Furthermore\, he will show some empirical findings regarding collective intelligence which challenge our current understanding of the underlying mechanisms. Another perspective is that of collective behaviour as a defense against predators. It has been found in a number of different species that various forms of collective spirals and waves can fend off predators. This implies that at a global group-wide level\, collective patterns are not just beautiful to look at but can provide anti-predator functions which are just beginning to understand. \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  \nImage created with DALL-E by Maria Ott.
URL:https://www.scienceofintelligence.de/event/jens-krause-science-of-intelligence/
CATEGORIES:Hot Topics in Intelligence Research
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2025/02/KK_2-scaled-e1748593902816.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250530T140000
DTEND;TZID=Europe/Berlin:20250530T160000
DTSTAMP:20260420T170522
CREATED:20250402T094459Z
LAST-MODIFIED:20250603T123920Z
UID:23998-1748613600-1748620800@www.scienceofintelligence.de
SUMMARY:Cornelia Fermüller (University of Maryland)\, “Computational Principles of Embodied Intelligence for Robust Motion Perception and Action”
DESCRIPTION:Abstract\nUnderstanding the computational principles of embodied intelligence is central to advancing robotic systems that perceive and act in complex environments. This talk explores key principles—low power consumption\, robustness\, and generalizability—as they emerge in the context of motion perception and action. For visual navigation\, evidence is presented that challenges the conventional SLAM paradigm\, which relies on correspondence estimation and 3D scene reconstruction. Instead\, 3D motion estimation and scene segmentation can be achieved using 1D normal flow measurements derived from image gradients\, offering a simpler and more robust alternative. The effectiveness of this approach is demonstrated through implementations on drones equipped with both standard and neuromorphic dynamic vision sensors. Further\, it is shown that physical interaction tasks do not necessarily require explicit depth estimation; rather\, distance can be inferred in action-dependent units grounded in control dynamics. Finally\, the role of visual motion in action understanding is examined\, focusing on how motion-derived primitives support robust and generalizable representations of action\, opening new avenues for embodied intelligence in robotic systems. \nThis talk is part of Aravind Battaje‘s course “Mind\, Body\, Environment: An Interactive Seminar on Embodied Intelligence\,” a seminar introducing to key theories and research highlighting this shift in perspective through invited lectures from experts in the field and interactive sessions. \nBio \nCornelia Fermüller is a Research Scientist at the University of Maryland’s Institute for Advanced Computer Studies (UMIACS)\, where she co-founded the Autonomy Cognition and Robotics (ARC) Lab and co-leads the Perception and Robotics Group. Her research lies at the intersection of computer vision\, robotics\, and human vision\, with a focus on biologically inspired solutions for active vision systems. She has made significant contributions to the understanding of visual perception by developing computational models for visual motion analysis\, 3D motion and shape estimation\, texture analysis\, and action recognition\, as well as integrating perception\, action\, and reasoning to enable cognitive robots to learn and interpret human manipulation actions. \nDr. Fermüller holds an M.S. from the University of Technology\, Graz\, and a Ph.D. in Applied Mathematics from the Technical University of Vienna. Her recent work emphasizes the use of event-based\, bio-inspired sensors for robust motion perception in challenging environments\, with applications ranging from fast motion perception for drones to autonomous driving in diverse lighting conditions. She is the principal investigator of an NSF-sponsored Science of Learning Center Network for Neuromorphic Engineering\, co-organizes the Neuromorphic Engineering and Cognition Workshop\, and has been recognized for her leadership in interdisciplinary research bridging computational modeling and psychophysical studies of human vision. \n  \nFor those who are not in Berlin but would like to join virtually:\nhttps://tu-berlin.zoom-x.de/j/69207754612?pwd=IKxoTdY3dQWccHpce2nA0IsNkNxPHu.1 \n  \nPhoto created with DALL-E by Maria Ott.
URL:https://www.scienceofintelligence.de/event/cornelia-fermuller/
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/2025/02/chatgtp16.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250527T140000
DTEND;TZID=Europe/Berlin:20250527T153000
DTSTAMP:20260420T170522
CREATED:20250226T122357Z
LAST-MODIFIED:20250409T100410Z
UID:23614-1748354400-1748359800@www.scienceofintelligence.de
SUMMARY:Jacob Davidson (Max Planck Institute for Animal Behavior\, Konstanz)
DESCRIPTION:More details to follow. \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/jacob-davidson-max-planck-institute-for-animal-behavior-konstanz/
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/2025/02/chatgtp4.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250513T140000
DTEND;TZID=Europe/Berlin:20250513T153000
DTSTAMP:20260420T170522
CREATED:20250226T122030Z
LAST-MODIFIED:20250409T100403Z
UID:23609-1747144800-1747150200@www.scienceofintelligence.de
SUMMARY:Mate Nagy (MTA-ELTE Lendület Collective Behaviour Research Group\, Budapest)
DESCRIPTION:More details to follow. \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/mate-nagy-mta-elte-lendulet-collective-behaviour-research-group-budapest/
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/2025/02/chatgtp3.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250506T140000
DTEND;TZID=Europe/Berlin:20250506T153000
DTSTAMP:20260420T170522
CREATED:20250226T121637Z
LAST-MODIFIED:20250409T100355Z
UID:23605-1746540000-1746545400@www.scienceofintelligence.de
SUMMARY:Pawel Romanczuk (Science of Intelligence)
DESCRIPTION:More details to follow. \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  \nImage created with DALL-E by Maria Ott.
URL:https://www.scienceofintelligence.de/event/pawel-romanczuk-science-of-intelligence/
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/2025/02/chatgtp2.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250502T141500
DTEND;TZID=Europe/Berlin:20250502T154500
DTSTAMP:20260420T170522
CREATED:20250402T100615Z
LAST-MODIFIED:20250603T124009Z
UID:24007-1746195300-1746200700@www.scienceofintelligence.de
SUMMARY:Michael Levin (Tufts University)\, “Communication With Intelligence in Unconventional Embodiments: Bioelectricity as a Case Study”
DESCRIPTION:Embodiment is critical for intelligence; however\, the traditional concept of embodiment as movement in 3-dimensional space covers only a small slice of the way biology exploits embodiment. In this talk\, I will present a framework for understanding intelligence more broadly\, and show how the multiscale competency of bodies navigates many different kinds of spaces. I will use our findings in developmental bioelectricity as a case study for how an unconventional intelligence can be recognized and communicated with\, for exciting applications in regenerative medicine and cancer. I will also show novel multicellular life forms\, which highlight the remarkable plasticity of the agential material of life by self-constructing new embodied intelligences from un-modified cells. The emerging field of diverse intelligence merges biophysics\, computer science\, and cognitive science in a way that helps us relate to current and forthcoming beings\, with applications in science\, engineering\, and ethics. \n  \nBio\nMichael Levin is the Vannevar Bush Chair and Distinguished Professor of Biology at Tufts University\, where he directs both the Allen Discovery Center and the Tufts Center for Regenerative and Developmental Biology. Renowned for his pioneering work at the intersection of developmental biology\, synthetic biology\, and cognitive science\, Prof. Levin investigates how cells and tissues process information to control growth\, regeneration\, and form. His research explores the collective intelligence of cells\, bioelectric signaling\, and the emergence of cognition in both natural and synthetic organisms\, with applications ranging from regenerative medicine to synthetic bioengineering. Prof. Levin is widely recognized for co-discovering xenobots—programmable living machines made from frog cells—and has published over 350 scientific papers. His work has been featured in major scientific and popular media. For more information\, visit his lab website. \n  \nThis event will take place on site with the speaker joining on Zoom: https://tu-berlin.zoom-x.de/j/69207754612?pwd=IKxoTdY3dQWccHpce2nA0IsNkNxPHu.1 \nThis is part of Aravind Battaje‘s course “Mind\, Body\, Environment: An Interactive Seminar on Embodied Intelligence\,” a seminar introducing to key theories and research highlighting this shift in perspective through invited lectures from experts in the field and interactive sessions.
URL:https://www.scienceofintelligence.de/event/michael-levin-tufts-university/
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/2025/04/levin.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250429T140000
DTEND;TZID=Europe/Berlin:20250429T153000
DTSTAMP:20260420T170522
CREATED:20250319T104304Z
LAST-MODIFIED:20250603T124029Z
UID:23816-1745935200-1745940600@www.scienceofintelligence.de
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
ATTACH;FMTTYPE=image/webp:https://www.scienceofintelligence.de/wp-content/uploads/2025/01/Fiore.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250422T140000
DTEND;TZID=Europe/Berlin:20250422T153000
DTSTAMP:20260420T170522
CREATED:20250319T103943Z
LAST-MODIFIED:20250603T124055Z
UID:23812-1745330400-1745335800@www.scienceofintelligence.de
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
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2025/03/a2345417-a007-468a-8182-6b5320513e32-1.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250212T170000
DTEND;TZID=Europe/Berlin:20250212T183000
DTSTAMP:20260420T170522
CREATED:20250113T103151Z
LAST-MODIFIED:20250603T124241Z
UID:23105-1739379600-1739385000@www.scienceofintelligence.de
SUMMARY:Agnieszka Wykowska (the Italian Institute of Technology\, Genoa)\, “Using Humanoid Robots To Study Human Cognition”
DESCRIPTION:Humanoid robots have recently received a lot of attention and enthusiasm in the robotics community and beyond. Indeed\, with new technological advancements\, they hold the promise to become our assistants in daily lives\, as general-purpose machines. In this talk\, however\, Agnieszka Wykowska will focus on a different\, less explored\, way of using humanoids – as tools to understand human cognition. Humanoids can play a substantial role in the scientific understanding of human cognition\, both through the construction of embodied models of cognitive mechanisms\, and in the role of sophisticated apparatus in experimental paradigms. Agnieszka Wykowska will present the work of her lab where they have examined how fundamental mechanisms of human cognition\, such as attention\, decision making or sense of agency\, are modulated by the interaction with a humanoid. She will then demonstrate how results from such studies can be used in robot-assisted cognitive training for children with disabilities\, highlighting the role of fundamental science in applied research. \nThis talk will take place as part of SCIoI member Jonas Frenkel’s seminar “Artificial Social Intelligence.” It aims to provide a comprehensive exploration of ASI\, which involves the observation\, analysis\, and synthesis of social phenomena. It integrates synthetic sciences such as machine learning\, computer vision\, and robotics with cognitive science\, psychology\, neuroscience\, and the humanities to focus on the perception\, cognitive components\, and behaviors linked to social intelligence. \nPhoto by Zak on Unsplash.
URL:https://www.scienceofintelligence.de/event/agnieszka-wykowska-the-italian-institute-of-technology-genoa/
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/2025/01/Agnieszka2-e1736785356683.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250207T140000
DTEND;TZID=Europe/Berlin:20250207T153000
DTSTAMP:20260420T170522
CREATED:20241024T160716Z
LAST-MODIFIED:20250603T124252Z
UID:22501-1738936800-1738942200@www.scienceofintelligence.de
SUMMARY:Tucker Hermans (University of Utah\, NVIDIA)\, “Learning and Planning With Relational Dynamics Models for Robot Manipulation”
DESCRIPTION:More info will follow soon. \nThis talk will take place as part of SCIoI member Svetlana Levit’s seminar “Selected Topics in Robot Learning\,” which explores how advances in machine learning are helping robots operate in new environments\, learn new behaviors\, and adapt to changing conditions.
URL:https://www.scienceofintelligence.de/event/tucker-hermans-university-of-utah-nvidia-learning-and-planning-with-relational-dynamics-models-for-robot-manipulation/
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/2024/10/Handmanipulations-scaled-e1729866591231.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250205T160000
DTEND;TZID=Europe/Berlin:20250205T171500
DTSTAMP:20260420T170522
CREATED:20250113T102236Z
LAST-MODIFIED:20250603T124306Z
UID:23100-1738771200-1738775700@www.scienceofintelligence.de
SUMMARY:Goldie Nejat (University of Toronto)\, “Paging the Socially Assistive Robots: Intelligent and Persuasive Social Robots for Healthcare and Beyond”
DESCRIPTION:The world is experiencing a silver tsunami: rapid population aging. As the world’s older population significantly increases\, dementia is becoming one of the fastest growing diseases\, with no cure in sight. Socially assistive robots are a unique disruptive innovation that are becoming a crucial part of everyday society\, especially in a post-pandemic world\, aiding people in everyday life to meet urgent and immediate assistive needs. This talk will present some of my group’s recent research efforts in developing intelligent and persuasive socially assistive robots to improve quality of life and promote independence (aging-in-place) of older adults\, including those living with dementia and their care providers. In particular\, I will discuss some of my team’s many robots including Brian\, Casper\, Tangy\, Blueberry\, Salt\, Pepper\, Chili\, Hans Solo\, and Luke and Leia that have been deployed in human-centered environments from long-term care homes and hospitals to grocery stores to autonomously provide cognitive and social interventions\, help with activities of daily living\, and lead individual-based and group-based recreational activities\, games and therapies. Our novel multimodal interactive robots are serving as assistants to individuals as well as groups of users\, while learning to personalize these interactions to the needs and wants of these users by using perceptual\, behavioral and persuasive intelligence. Numerous user studies conducted in care settings will also be discussed to highlight how these robots can effectively be integrated into people’s everyday lives to support person-centered care. \nDr. Goldie Nejat\, Ph.D.\, P.Eng.\, is a Professor in the Department of Mechanical & Industrial Engineering at the University of Toronto. She is also the Founder and Director of the Autonomous Systems and Biomechatronics Laboratory Professor Nejat is an Adjunct Scientist at both KITE in the Toronto Rehabilitation Institute (University Health Network) and the Rotman Research Institute at Baycrest Health Sciences\, and a Fellow of both ASME and CIFAR. She was the Canada Research Chair in Robots for Society (2014-2024).\nDr. Nejat’s research focuses on developing intelligent service robots and robot cooperative teams for applications in health\, eldercare\, emergency response\, search and rescue\, security and surveillance\, retail and manufacturing. Her ground-breaking robotics research is leading the development of intelligent socially assistive robots aimed at meeting the challenges posed by a rapidly aging population. She has been invited to speak about her research to scientists\, healthcare professionals\, policymakers\, governments and the general public at many events\, conferences and institutions around the world. She has served on the organizing\, program and editorial committees of numerous international conferences and journals on robotics\, automation\, human-robot interaction and medical devices. She is an Associate Editor for the International Journal of Social Robotics\, a program co-chair for the 2025 IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) and is also a past Associate Editor for IEEE Robotics and Automation Letters (RA-L)\, and IEEE Transactions on Automation Science and Engineering (T-ASE). Her team’s work has been presented in over 100 media stories including in Popular Science\, National Geographic Magazine\, Time Magazine\, Bloomberg\, NBC News\, the Telegraph\, Reader’s Digest\, and the Discovery Channel. In 2022\, she received the Robotics Society of Japan (RSJ) Pioneering Research Award in Robot & Human Interactive Communication along with her students and collaborator. In 2022\, she was also internationally recognized as 1 of 50 women in robotics you need to know by Women in Robotics for her inspiring contributions to robotics. In 2020\, she received the Engineering Excellence Medal from the Ontario Society of Professional Engineers (PEO) and the Professional Engineers Ontario. \nThis talk will take place as part of SCIoI member Jonas Frenkel’s seminar “Artificial Social Intelligence.” It aims to provide a comprehensive exploration of ASI\, which involves the observation\, analysis\, and synthesis of social phenomena. It integrates synthetic sciences such as machine learning\, computer vision\, and robotics with cognitive science\, psychology\, neuroscience\, and the humanities to focus on the perception\, cognitive components\, and behaviors linked to social intelligence. \nPhoto by Michael Dziedzic on Unsplash.
URL:https://www.scienceofintelligence.de/event/goldie-nejat-university-of-toronto/
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/2025/01/Goldie.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250129T161500
DTEND;TZID=Europe/Berlin:20250129T173000
DTSTAMP:20260420T170522
CREATED:20250106T111016Z
LAST-MODIFIED:20250603T124316Z
UID:23002-1738167300-1738171800@www.scienceofintelligence.de
SUMMARY:Maarten Sap (Carnegie Mellon University)\, “Artificial Social Intelligence? On the Challenges of Socially Aware and Ethically Informed LLMs”
DESCRIPTION:Modern AI systems such as LLMs are pervasive and helpful\, but do they really have the social intelligence to seamlessly and safely engage in interactions with humans? In this talk\, Maarten Sap will delve into the limits of social intelligence of LLMs and how we can measure and anticipate their risks. He will introduce Sotopia\, a new social simulation environment to evaluate the interaction abilities of LLMs as social AI agents. He will show how today’s most powerful models struggle to socially interact due to inability to deal with information asymmetry. He will then shift to how LLMs pose new ethical challenges in their interactions with users. Specifically\, through their language modality and possible expressions of uncertainty\, his work shows that LLMs tend to express overconfidence in their answers even when incorrect\, which users tend to over-rely on.  Finally\, Maarten Sap  will introduce ParticipAI\, a new framework to anticipate future AI use cases and dilemmas. Through their framework\, his work shows that lay users can help us anticipate the benefits and harms of allowing or not allowing an AI use case\, paving the way for more democratic approaches to AI design\, development\, and governance. He will conclude with some thoughts on future directions towards socially aware and ethically informed AI. \nThis talk will take place as part of SCIoI member Jonas Frenkel’s seminar “Artificial Social Intelligence.” It aims to provide a comprehensive exploration of ASI\, which involves the observation\, analysis\, and synthesis of social phenomena. It integrates synthetic sciences such as machine learning\, computer vision\, and robotics with cognitive science\, psychology\, neuroscience\, and the humanities to focus on the perception\, cognitive components\, and behaviors linked to social intelligence. \nThis talk will take place in person at SCIoI. \nImage created with DALL-E by Maria Ott
URL:https://www.scienceofintelligence.de/event/artificial-social-intelligence-maarten-sap-carnegie-mellon-university/
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/2025/01/Saap.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250122T160000
DTEND;TZID=Europe/Berlin:20250122T173000
DTSTAMP:20260420T170522
CREATED:20250106T110543Z
LAST-MODIFIED:20250603T124340Z
UID:23000-1737561600-1737567000@www.scienceofintelligence.de
SUMMARY:Stephen M. Fiore (University of Central Florida)\, “Studying Artificial Social Intelligence: Understanding and Examining Social Cognitive Processes in Human-Machine Collaborations”
DESCRIPTION:In this presentation Stephen M. Fiore will provide an overview of a body of research in social cognition and its relation to developing artificial social intelligence. In the rapidly evolving landscape of artificial intelligence (AI)\, an important research direction is the development of systems that can work alongside and collaborate with humans as actual teammates. Effective teamwork is crucial in fields that have high-stakes and can require complex collaborative problem solving (e.g.\, disaster response). In these environments\, the ability of team members to collaborate requires social-cognitive processes over and above an understanding of the tasks to be accomplished. We address this through the study of socially intelligent AI and how these influence interactions with human counterparts acting as a team. In this talk\, Stephen Fiore will first provide an overview of our approach to social cognition and the theoretical concepts being studied. He will describe theory and data from his various research projects studying human-human and human-machine teaming and conclude with recommendations and guidance for future research on artificial social intelligence. \nThis course This talk will take place as part of SCIoI member Jonas Frenkel’s seminar “Artificial Social Intelligence.” It aims to provide a comprehensive exploration of ASI\, which involves the observation\, analysis\, and synthesis of social phenomena. It integrates synthetic sciences such as machine learning\, computer vision\, and robotics with cognitive science\, psychology\, neuroscience\, and the humanities to focus on the perception\, cognitive components\, and behaviors linked to social intelligence. \nImage created with DALL-E by Maria Ott
URL:https://www.scienceofintelligence.de/event/artificial-social-intelligence-stephen-fiore/
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/2025/01/Fiore.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250121T160000
DTEND;TZID=Europe/Berlin:20250121T180000
DTSTAMP:20260420T170522
CREATED:20241217T172315Z
LAST-MODIFIED:20250603T124352Z
UID:22911-1737475200-1737482400@www.scienceofintelligence.de
SUMMARY:Giovanni Beltrame (Polytechnique Montreal)\, “Field Collective Robotics: Challenges and Applications”
DESCRIPTION:Giovanni Beltrame is a Professor in the Department of Computer and Software Engineering at Polytechnique Montréal\, where he leads the Making Innovative Space Technology (MIST) Laboratory. At MIST Lab\, Giovanni is conducting projects in collaboration with industry and government agencies in areas such as robotics\, disaster response\, and space exploration. His research interests include the modeling and design of embedded systems\, artificial intelligence\, and robotics\, with a particular emphasis on swarm robotics. He has participated in several field missions with ESA\, the Canadian Space Agency (CSA)\, and NASA\, including BRAILLE\, PANGAEA-X\, and IGLUNA. He has made significant contributions to the field of swarm robotics\, notably through the development of Buzz\, a programming language designed for heterogeneous robot swarms\, which facilitates the coordination and control of large groups of robots. \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. \nImage created with DALL-E by Maria Ott.
URL:https://www.scienceofintelligence.de/event/giovanni-beltrame-polytechnique-montreal-field-collective-robotics-challenges-and-applications/
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/2024/12/Giovanni_Mohsen2.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250120T140000
DTEND;TZID=Europe/Berlin:20250120T153000
DTSTAMP:20260420T170522
CREATED:20241024T160424Z
LAST-MODIFIED:20250102T131427Z
UID:22499-1737381600-1737387000@www.scienceofintelligence.de
SUMMARY:Rudolf Lioutikov (Karlsruher Institut für Technologie)\, "Versatile\, Language Conditioned Robots"
DESCRIPTION:More info will follow soon. \nThis talk will take place as part of SCIoI member Svetlana Levit’s seminar “Selected Topics in Robot Learning\,” which explores how advances in machine learning are helping robots operate in new environments\, learn new behaviors\, and adapt to changing conditions.
URL:https://www.scienceofintelligence.de/event/rudolf-lioutikov-karlsruher-institut-fur-technologie-versatile-language-conditioned-robots/
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/2024/10/Copy-of-zp-TU-HU-ExcelenzForschung-20240122-077___-scaled-e1729865955744.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250115T160000
DTEND;TZID=Europe/Berlin:20250115T180000
DTSTAMP:20260420T170522
CREATED:20241217T153357Z
LAST-MODIFIED:20250603T124411Z
UID:22907-1736956800-1736964000@www.scienceofintelligence.de
SUMMARY:Mary Ellen Foster (University of Glasgow)\, “Face-to-Face Conversation With Socially Intelligent Robots”
DESCRIPTION:When humans talk to each other face-to-face\, they use their voices\, faces\, and bodies together in a rich\, multimodal\, continuous\, interactive process. For a robot to participate fully in this sort of natural\, face-to-face conversation in the real world\, it must also be able not only to understand the social signals of its human partners\, but also to produce appropriate signals in response. In this talk\, I will present recent research from my group in this area\, and will also discuss the issues involved in moving social robots from the lab to real-world contexts\, which involves consultation with a large number of stakeholders. \nDr Mary Ellen Foster is a Senior Lecturer in the School of Computing Science at the University of Glasgow. Her primary research interests are human-robot interaction\, social robotics\, and embodied conversational agents. She recently coordinated the MuMMER project\, a European Horizon 2020 project in the area of socially aware human-robot interaction\, and is currently coordinating a UK/Canada collaborative project investigating the use of socially intelligent robots in paediatric emergency rooms. She obtained her PhD from the University of Edinburgh in 2007 and has previously worked at the Technical University of Munich and Heriot-Watt University. \nThis talk will take place as part of SCIoI member Jonas Frenkel’s seminar “Artificial Social Intelligence.” It aims to provide a comprehensive exploration of ASI\, which involves the observation\, analysis\, and synthesis of social phenomena. It integrates synthetic sciences such as machine learning\, computer vision\, and robotics with cognitive science\, psychology\, neuroscience\, and the humanities to focus on the perception\, cognitive components\, and behaviors linked to social intelligence. \nThis talk will take place in person at SCIoI.
URL:https://www.scienceofintelligence.de/event/mary-ellen-foster-university-of-glasgow/
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/2024/12/Z__2526-e1734449630441.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250110T140000
DTEND;TZID=Europe/Berlin:20250110T153000
DTSTAMP:20260420T170522
CREATED:20241024T160017Z
LAST-MODIFIED:20250603T124424Z
UID:22496-1736517600-1736523000@www.scienceofintelligence.de
SUMMARY:Oliver Kroemer (Carnegie Mellon University)\, “Modularity and Learning To Structure Robot Manipulation Skills”
DESCRIPTION:Oliver Kroemer’s research focuses on developing algorithms and representations that enable robots to learn versatile manipulation skills over time. By equipping robots with the ability to acquire new skills and adapt manipulations to novel situations\, his work opens up a wide range of potential applications—from assisting the elderly and maintaining parks and public spaces to operating in hazardous environments. \nOliver has developed methods that allow robots to learn about objects through physical interactions and autonomously refine their skills using reinforcement learning. Additionally\, he has proposed innovative representations for capturing key aspects of manipulations\, such as contact states and motor primitives\, to enhance generalization across different tasks and scenarios. \nThe ultimate aim of his research is to create a life-long learning framework that enables robots to continuously acquire and improve manipulation skills\, paving the way for more adaptable and capable robotic systems. \nThis talk will take place as part of SCIoI member Svetlana Levit’s seminar “Selected Topics in Robot Learning\,” which explores how advances in machine learning are helping robots operate in new environments\, learn new behaviors\, and adapt to changing conditions. \nImage generated with DALL-E by Maria Ott
URL:https://www.scienceofintelligence.de/event/oliver-kroemer-carnegie-mellon-university-modularity-and-learning-to-structure-robot-manipulation-skills/
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/Kroemer-e1734442005415.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250107T160000
DTEND;TZID=Europe/Berlin:20250107T180000
DTSTAMP:20260420T170522
CREATED:20241217T123131Z
LAST-MODIFIED:20250603T124437Z
UID:22899-1736265600-1736272800@www.scienceofintelligence.de
SUMMARY:Carlo Pinciroli (Worcester Polytechnic Institute)\, “Simulation Platforms and sim2real Gap”
DESCRIPTION:Carlo Pinciroli is an Associate Professor and Graduate Coordinator of the Robotics Engineering department at Worcester Polytechnic Institute (WPI)\, where he leads the NEST (Novel Engineering for Swarm Technologies) Lab. With additional appointments in WPI’s Artificial Intelligence Program\, Computer Science\, and Fire Protection Engineering\, his research centers on swarm robotics. \nHe is the creator of ARGoS\, a widely used\, high-performance robot swarm simulator\, and the driving force behind Buzz\, a programming language designed for real-world robot swarms\, recognized by MIT Technology Review and Communications of the ACM. Their work has received funding from NSF\, NASA\, Amazon Science\, Raytheon Technologies\, and other major institutions\, advancing both simulation accuracy and real-world swarm applications. \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. \nImage generated with DALL-E by Maria Ott
URL:https://www.scienceofintelligence.de/event/carlo-pinciroli-worcester-polytechnic-institute-simulation-platforms-and-sim2real-gap/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Hot Topics in Intelligence Research
ATTACH;FMTTYPE=image/png:https://www.scienceofintelligence.de/wp-content/uploads/2024/12/Pinciroli-e1734438654860.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20241210T160000
DTEND;TZID=Europe/Berlin:20241210T180000
DTSTAMP:20260420T170522
CREATED:20241030T150652Z
LAST-MODIFIED:20250603T124449Z
UID:22537-1733846400-1733853600@www.scienceofintelligence.de
SUMMARY:Sabine Hauert (University of Bristol)\, “Breaking Swarm Stereotypes: Scalability\, Adaptability\, and Robustness in Real-World Applications”
DESCRIPTION:Sabine Hauert is Professor of Swarm Engineering at the University of Bristol in the UK. Her research focuses on making swarms for people\, and across scales\, from nanorobots for cancer treatment\, to larger robots for environmental monitoring\, or logistics. Before joining the University of Bristol\, Sabine engineered swarms of nanoparticles for cancer treatment at MIT\, and deployed swarms of flying robots at EPFL. \nThe distributed nature of swarm robotics has the potential to enable out-of-the-box solutions in real-world environments that adapt\, scale\, and are robust to failure. To achieve this potential\, we may need to broaden our perception of swarms being composed of large numbers of autonomous\, simple\, and often homogeneous agents that use local interaction and sensing alone. Instead\, we propose a shift towards swarms with emergent properties that are easy to design\, monitor\, control\, and validate by humans. We show how swarms can rely on sophisticated perception of their local environment\, and share some information quasi-globally. Finally we envision a world where swarms of specialised robots have a shared awareness of their operations and co-exist in common environments\, coordinating tasks in construction\, farming\, logistics\, and environmental preservation. \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. \nImage created with DALL-E by Maria Ott.
URL:https://www.scienceofintelligence.de/event/sabine-hauert-university-of-bristol-adaptability-and-robustness/
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/Mohsen_Hauert-e1730300782550.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20241203T160000
DTEND;TZID=Europe/Berlin:20241203T180000
DTSTAMP:20260420T170522
CREATED:20241118T121945Z
LAST-MODIFIED:20250603T124517Z
UID:22757-1733241600-1733248800@www.scienceofintelligence.de
SUMMARY:Mario Di Bernardo (University of Naples Federico II)\, “Control of Complex Multi-Agent Systems”
DESCRIPTION:Mario di Bernardo is Professor of Automatic Control at the University of Naples Federico II\, Italy and Visiting Professor of Nonlinear Systems and Control at the University of Bristol\, U.K. He currently serves as Deputy pro-Vice Chancellor for Internationalization at the University of Naples and coordinates the research area and PhD program on Modeling and Engineering Risk and Complexity of the Scuola Superiore Meridionale\, the new School of Advanced Studies located in Naples. On 28th February 2007 he was bestowed the title of Cavaliere of the Order of Merit of the Italian Republic for scientific merits from the President of Italy. His research interests include the analysis\, synchronization and control of complex network systems; piecewise-smooth dynamical systems; nonlinear dynamics and nonlinear control with applications to engineering and computational biology. \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. \n©SCIoI \n 
URL:https://www.scienceofintelligence.de/event/mario-di-bernardo-university-of-naples-federico-ii-control-of-complex-multi-agent-systems/
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/2024/11/20220702_SciOI_LangeNacht_006-scaled-e1731932631579.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20241129T140000
DTEND;TZID=Europe/Berlin:20241129T153000
DTSTAMP:20260420T170522
CREATED:20241024T152054Z
LAST-MODIFIED:20250603T124529Z
UID:22490-1732888800-1732894200@www.scienceofintelligence.de
SUMMARY:Majid Khadiv (TU München)\, “Optimal Control and Learning for Contact-Rich Robotics”
DESCRIPTION:The past few years have witnessed significant progress in the field of legged locomotion and manipulation. This is mainly due to the availability of high-performance hardware as well as development of algorithms that scale to high-dimensional\, hybrid and under-actuated systems. In this talk\, I will present my recent research efforts\, mainly on the algorithmic side\, on developing efficient predictive controllers that can be complemented with supervised/reinforcement learning for real-time execution in the real world. I will also share my perspective on the open problems that we still need to solve to have functional humanoid robots in the real world. \nMajid Khadiv is an assistant professor in the school of Computation\, Information and Technology (CIT) at TUM. He leads the chair of AI Planning in Dynamic Environments and is also a member of the Munich Institute of Robotics and Machine Intelligence (MIRMI). Prior to joining TUM\, he was a research scientist at the Empirical Inference Department at the Max Planck Institute for Intelligent systems. Before that he was a postdoctoral researcher in the Machines in Motion\, a joint laboratory between New York University and Max Planck Institute. Since the start of his PhD in 2012\, he has been performing research on motion planning\, control and learning for legged robots ranging from quadrupeds\, lower-limb exoskeleton up to humanoid robots. \nThis talk will take place as part of SCIoI member Svetlana Levit’s seminar “Selected Topics in Robot Learning\,” which explores how advances in machine learning are helping robots operate in new environments\, learn new behaviors\, and adapt to changing conditions. \nImage generated with DALL-E by Maria Ott.
URL:https://www.scienceofintelligence.de/event/majid-khadiv-tu-munchen-optimal-control-and-learning-for-contact-rich-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/legged_locomotion.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20241126T160000
DTEND;TZID=Europe/Berlin:20241126T180000
DTSTAMP:20260420T170522
CREATED:20241108T171440Z
LAST-MODIFIED:20250603T124551Z
UID:22656-1732636800-1732644000@www.scienceofintelligence.de
SUMMARY:Justin Werfel (Harvard University)\, “Bio-Inspired Intelligence and Robotics”
DESCRIPTION:Justin Werfel is a senior research scientist at Harvard’s Wyss Institute for Biologically Inspired Engineering\, where he works on topics in complex and emergent systems\, including swarm robotics\, termite behavior\, engineered molecular nanosystems\, and evolutionary theory. He leads the Designing Emergence Laboratory\, and works closely with a number of other collaborating labs. \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. \nImage created with DALL-E by Maria Ott.
URL:https://www.scienceofintelligence.de/event/justin-werfel-harvard-university-bio-inspired-intelligence-and-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/2024/11/Werfel1.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20241119T160000
DTEND;TZID=Europe/Berlin:20241119T180000
DTSTAMP:20260420T170522
CREATED:20241030T145327Z
LAST-MODIFIED:20250603T124603Z
UID:22535-1732032000-1732039200@www.scienceofintelligence.de
SUMMARY:Mohsen Raoufi (Science of Intelligence)\, “Crash Course on Network Science”
DESCRIPTION:Mohsen is a doctoral researcher at SCIoI\, working on Project 27\, Speed-Accuracy Tradeoffs in Collective Estimation. His research explores the role of networks in shaping collective opinion dynamics. \nIn this lecture\, he will provide an overview of network science with a focus on its applications in collective robotics. He will cover basic topics in graph theory and show how a network science perspective can help our understanding of collective 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.
URL:https://www.scienceofintelligence.de/event/mohsen-raoufi-science-of-intelligence-crash-course-on-network-science/
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/raoufi-mohsen.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20241115T140000
DTEND;TZID=Europe/Berlin:20241115T153000
DTSTAMP:20260420T170522
CREATED:20241024T140828Z
LAST-MODIFIED:20250603T124613Z
UID:22483-1731679200-1731684600@www.scienceofintelligence.de
SUMMARY:Sylvain Calinon (IDIAP\, EPFL)\, “Frugal Learning of Manipulation Skills in Robotics”
DESCRIPTION:Many applications in robotics would benefit from robots being able to learn manipulation skills from only few demonstrations or trials. This contrasts with the ongoing trend in machine learning of constantly increasing the amount of data required to learn tasks. The main challenge of acquiring manipulation skills from limited training data is to find inductive biases and representations that can be used in a wide range of tasks\, which requires us to advance on several fronts\, including data structures and geometric structures. As example of data structures\, I will discuss the use of tensor factorization techniques that can be used in global optimization problems to efficiently extract and compress information\, while providing diverse human-guided learning capabilities (imitation and environment scaffolding). As examples of geometric structures\, I will discuss the use of Riemannian geometry and geometric algebra in robotics\, where prior knowledge about the physical world can be embedded within the representations of skills and associated learning algorithms. \nSylvain Calinon is a Senior Research Scientist at the Idiap Research Institute and a Lecturer at the Ecole Polytechnique Fédérale de Lausanne (EPFL). He heads the Robot Learning & Interaction group at Idiap\, with expertise in human-robot collaboration\, robot learning from demonstration and model-based optimization. The approaches developed in his group can be applied to a wide range of applications requiring manipulation skills\, with robots that are either close to us (assistive and industrial robots)\, parts of us (prosthetics and exoskeletons)\, or far away from us (shared control and teleoperation). \nThis talk will take place as part of SCIoI member Svetlana Levit’s seminar “Selected Topics in Robot Learning\,” which explores how advances in machine learning are helping robots operate in new environments\, learn new behaviors\, and adapt to changing conditions. \nThe event will take place in person and is available on Zoom. \nImage generated with DALL-E by Maria Ott. \n 
URL:https://www.scienceofintelligence.de/event/sylvain-calinon-idiap-epfl-frugal-learning-of-manipulation-skills-in-robotics/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Hot Topics in Intelligence Research
ATTACH;FMTTYPE=image/png:https://www.scienceofintelligence.de/wp-content/uploads/2024/10/manipulation-e1729782264342.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20241112T160000
DTEND;TZID=Europe/Berlin:20241112T180000
DTSTAMP:20260420T170522
CREATED:20241030T144317Z
LAST-MODIFIED:20250603T124629Z
UID:22533-1731427200-1731434400@www.scienceofintelligence.de
SUMMARY:Pawel Romanczuk (Science of Intelligence)\, “Introduction to Complexity Science: Part II”
DESCRIPTION:Pawel Romanczuk holds a professorship on Complexity Research in Adaptive Systems at HU. For SCIoI\, he works at the interface of applied mathematics\, theoretical physics\, and behavioral biology. He focuses on collective behavior of organismic systems. His research bridges analytical and synthetic sciences to study self-organization\, evolutionary adaptations\, and functional dynamical behavior. \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/pawel-romanczuk-science-of-intelligence-introduction-to-complexity-science-part-ii/
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/Pawel-Romanczuk-Copyright-SCIoI-scaled.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20241105T160000
DTEND;TZID=Europe/Berlin:20241105T180000
DTSTAMP:20260420T170522
CREATED:20241030T143652Z
LAST-MODIFIED:20250603T124652Z
UID:22527-1730822400-1730829600@www.scienceofintelligence.de
SUMMARY:POSTPONED: Karoline Wiesner (University of Potsdam)\, “Introduction to Complexity Science: Part I”
DESCRIPTION:Karoline Wiesner has been a Professor of Complexity Science at the Institute for Physics and Astronomy since 2021 and also serves as an external professor at the Complexity Science Hub Vienna. She earned her Ph.D. in Physics at Uppsala University and spent her postdoctoral years at the Santa Fe Institute in New Mexico and the University of California in Davis. At the University of Bristol\, UK\, she held positions as Assistant and later Associate Professor\, as well as being a visiting professor at Lund University\, the Niels Bohr Institute in Copenhagen\, and the Potsdam Institute for Climate Impact Research. \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. \n\nImage created with DALL-E by Maria Ott
URL:https://www.scienceofintelligence.de/event/karoline-wiesner-potsdam-university-introduction-to-complexity-science-part-i/
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/Mohsen_Complexity_Science.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20241029T160000
DTEND;TZID=Europe/Berlin:20241029T180000
DTSTAMP:20260420T170522
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20241022T160000
DTEND;TZID=Europe/Berlin:20241022T173000
DTSTAMP:20260420T170522
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240627T160000
DTEND;TZID=Europe/Berlin:20240627T173000
DTSTAMP:20260420T170522
CREATED:20240530T140658Z
LAST-MODIFIED:20240624T203243Z
UID:20741-1719504000-1719509400@www.scienceofintelligence.de
SUMMARY:Katja Liebal (Universität Leipzig)\, "Comparative Approach to Human Cognition: Possibilities and Challenges"
DESCRIPTION:Aiming to understand human psychology and what makes humans “unique” benefits from a frame of reference against which to assess it. Comparing human psychology with that of other animals\, particularly our closest relatives\, nonhuman primates\, can provide such a frame of reference and thereby contribute to identifying the defining characteristics of the human species. Studying cognitive skills in nonhuman species\, however\, presents a variety of methodological and ethical challenges\, which I will address in my talk. After introducing the rationale of a comparative approach and highlighting some “hot topics” in current research with primates\, I will discuss some of the challenges of comparative research\, such as the impact of anthropomorphism and speciesism\, the difficulty of developing appropriate methods to study cognitive skills in non-linguistic species\, and the ethical boundaries of conducting such research with highly endangered species. \nThis talk will take place in person at SCIoI and on Zoom. \nPhoto by taopaodao on Unsplash.
URL:https://www.scienceofintelligence.de/event/katja-liebaluniversitat-leipzig-comparative-approach-to-human-cognition-possibilities-and-challenges/
LOCATION:MAR 2.057
CATEGORIES:Hot Topics in Intelligence Research
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DTSTART;TZID=Europe/Berlin:20240620T160000
DTEND;TZID=Europe/Berlin:20240620T173000
DTSTAMP:20260420T170522
CREATED:20240530T140328Z
LAST-MODIFIED:20240919T094751Z
UID:20736-1718899200-1718904600@www.scienceofintelligence.de
SUMMARY:Brian Scholl (Yale University)\, "Visual Intelligence: On the Unexpected Sophistication of Perception "
DESCRIPTION:It is natural to think of vision as relatively primitive\, compared to the richness of higher-level cognition. But recent work has revealed how perception is unexpectedly sophisticated along several related dimensions.  First\, recent work suggests that visual processing spontaneously extracts not only simple features such as color\, shape\, and motion\, but also properties more associated with higher-level thought — such as agency\, causal history\, and intuitive physics.  (Appreciating that a tower is about to fall\, for example — or that an object looks the way it does because it was crushed\, or that another agent is attending to us — seems more like perceiving a shape than proving a theorem.)  Second\, vision turns out to be selective in various sophisticated ways\, automatically discounting some information while highlighting properties of special import — such as information that categorically distinguishes different dynamic “event types” (e.g. bouncing\, rolling\, scooping\, and pouring).  Third\, the acuity of perception is specially tuned to provide high-resolution representations about high-importance information — such as the degree of pupil dilation in other people.  Here I’ll review recent work from our lab supporting each of these three related dimensions of “visual intelligence”.  This presentation will involve some results and some statistics\, but the key claims will also be illustrated with phenomenologically vivid demonstrations in which you’ll be able to directly experience the effects.  Collectively\, this work presents a new way to think about how perception delivers a rich interpretation of the world to the mind at large. \nThis talk will take place in person at SCIoI and on Zoom. \nPhoto by v2osk on Unsplash.
URL:https://www.scienceofintelligence.de/event/brian-scholl-yale-university-visual-intelligence/
LOCATION:MAR 2.057
CATEGORIES:Hot Topics in Intelligence Research
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