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DTSTART;TZID=Europe/Berlin:20250122T160000
DTEND;TZID=Europe/Berlin:20250122T173000
DTSTAMP:20260420T182843
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:20260420T182843
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:20260420T182843
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:20260420T182843
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:20260420T182843
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:20260420T182843
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:20260420T182843
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:20260420T182843
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:20260420T182843
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:20260420T182843
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:20260420T182843
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:20260420T182843
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:20260420T182843
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:20260420T182843
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:20260420T182843
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:20260420T182843
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:20240627T160000
DTEND;TZID=Europe/Berlin:20240627T173000
DTSTAMP:20260420T182843
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
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2024/05/taopaodao-EgL0EtzL0Wc-unsplash.jpg
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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240620T160000
DTEND;TZID=Europe/Berlin:20240620T173000
DTSTAMP:20260420T182843
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
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2024/05/v2osk-In4XVKhYaiI-unsplash-scaled.jpg
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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240614T141500
DTEND;TZID=Europe/Berlin:20240614T151500
DTSTAMP:20260420T182843
CREATED:20240608T044527Z
LAST-MODIFIED:20240608T044527Z
UID:20812-1718374500-1718378100@www.scienceofintelligence.de
SUMMARY:Oren Forkosh (The Hebrew University of Jerusalem)\, " Behavior\, Personality\, Social Structure\, and Emotions in Freely Behaving Groups of Mice and Other Animals"
DESCRIPTION:Abstract:\nIn recent years\, the study of animal behavior in neuroscience has seen a significant shift towards more naturalistic and less intrusive methods. It is under these conditions that the true spectrum of animal behavior can be exhibited\, free from the artificial constraints and stressful conditions often imposed by traditional laboratory settings. In this talk\, I will focus on the interplay between behavior\, personality\, hierarchy\, and affective states as measured in our “social boxes”. These systems allow for the continuous and unattended tracking of groups of mice over extended periods and can automatically recognize and catalog over 100 distinct behaviors. A four-day experiment\, for example\, can potentially replace a myriad of classical tests typically used in neuroscience. Our system can also discern and record a ‘behavioral fingerprint’ for each mouse. These fingerprints reveal consistent traits—personalities—that are not only distinct between individuals but also persist over time. These behavioral fingerprints are also reflected in each animal’s gene expression. In addition\, by examining the interplay between behavior and personality across multiple timescales – from seconds to days – we can gain insights into the affective states of these animals. Finally\, expanding our research to other species\, including bats\, cows\, flies\, as well as humans\, allows us to develop a general understanding of behavior and personality. This comparative strategy holds promise for developing a ‘universal translator’ of behavioral and personality patterns\, paving the way for new comparative studies. These insights into the personalities and emotions of both humans and animals have the potential to significantly enhance our knowledge of the neurobiological underpinnings of behavior.
URL:https://www.scienceofintelligence.de/event/oren-forkosh-the-hebrew-university-of-jerusalem-behavior-personality-social-structure-and-emotions-in-freely-behaving-groups-of-mice-and-other-animals/
LOCATION:MAR 2.057
CATEGORIES:Hot Topics in Intelligence Research
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2024/05/project_40.jpg
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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240613T160000
DTEND;TZID=Europe/Berlin:20240613T173000
DTSTAMP:20260420T182843
CREATED:20240530T135621Z
LAST-MODIFIED:20240919T093406Z
UID:20729-1718294400-1718299800@www.scienceofintelligence.de
SUMMARY:Christof Koch (Allen Institute for Brain Sciences)\, "Integrated Information Theory – Or Why Consciousness is Fundamentally Distinct from Intelligence"
DESCRIPTION:Humans not only can act intelligently in the world but consciously experience it\, such as the delectable taste of Nutella\, the sharp sting of an infected tooth\, or the terror and ecstasy of a near-death experience. I will discuss progress achieved in tracking the footprints of conscious experiences to the posterior regions of the cerebral cortex\, the outermost layer of the brain. I shall introduce the Integrated Information Theory (IIT). It explains in a principled manner which systems\, based on their structure\, are conscious and has been used to build devices to detect consciousness in patients with disorders of consciousness. The theory asserts the existence of free will and predicts that consciousness is much more widespread than commonly assumed. On the other hand\, present digital computers using a von Neumann-like architectures\, though they may approach\, or even exceed\, human-level general intelligence\, will never be conscious. Consciousness is ultimately about being\, not about doing. \nChristof Koch is best known for his work exploring the physical basis of consciousness in humans\, animals\, and machines. A physicist and neurobiologist\, he was for more than a quarter of a century a professor of biology and engineering at the California Institute of Technology in Pasadena and the president and chief scientist of the Allen Institute for Brain Science in Seattle. He remains at the Allen Institute as a Meritorious Investigator. He is also the Chief Scientist of the Tiny Blue Dot Foundation in Santa Monica\, seeking to understand consciousness\, its place in nature\, and how this knowledge can benefit all of humanity. He latest book\, Then I am Myself the World\, was just published. A vegetarian\, cyclist and dog lover\, Christof lives on a small island in the Pacific Northwest. For more information\, see www.christofkoch.com \n  \nThis talk will take place in person at SCIoI.
URL:https://www.scienceofintelligence.de/event/christof-koch-allen-institute-for-brain-sciences-integrated-information-theory-or-why-consciousness-is-fundamentally-distinct-from-intelligence/
LOCATION:MAR 2.057
CATEGORIES:Hot Topics in Intelligence Research
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2024/05/pawel-czerwinski-ruJm3dBXCqw-unsplash-scaled.jpg
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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T160000
DTEND;TZID=Europe/Berlin:20240611T173000
DTSTAMP:20260420T182843
CREATED:20240530T140031Z
LAST-MODIFIED:20250603T124925Z
UID:20732-1718121600-1718127000@www.scienceofintelligence.de
SUMMARY:Iain Couzin (Max Planck Institute of Animal Behavior & University of Konstanz)\, “Collective Intelligence in Animals and Robots”
DESCRIPTION:Abstract\nIn 1905 the biologist Edmund Selous wrote of his wonderment when observing a flock of starlings flying overhead “they circle; now dense like a polished roof\, now disseminated like the meshes of some vast all-heaven-sweeping net…wheeling\, rending\, darting…a madness in the sky”. He went on to speculate “They must think collectively\, all at the same time\, or at least in streaks or patches — a square yard or so of an idea\, a flash out of so many brains”. Today\, we still know relatively little about how social interactions connect brains together—and thus how sensing and information processing arises in such organismal collectives. Employing automated tracking\, computational reconstruction of sensory information\, biomimetic robotics\, and immersive ‘holographic’ virtual reality (VR) experiments\, I will explore geometric principles of collective decision-making that occur across scales of biological organization\, from neural dynamics to animal collectives. In doing so I will explain why classical models from non-linear statistical physics fail to account for collective animal behavior. I will will present several new theoretical frameworks\, including active inference and neural ring attractor networks\, that do account for key experimental findings and challenge long-held beliefs about how order can emerge from disorder within animal collectives. \nThis talk will take place in person at SCIoI and on Zoom. \nPhoto taken by https://www.uni-konstanz.de.
URL:https://www.scienceofintelligence.de/event/iain-couzin-max-planck-institute-of-animal-behavior-university-of-konstanz/
CATEGORIES:Hot Topics in Intelligence Research
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2024/05/th-2079837879.jpg
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