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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20231130T160000
DTEND;TZID=Europe/Berlin:20231130T173000
DTSTAMP:20260404T101931
CREATED:20230802T121634Z
LAST-MODIFIED:20240813T102810Z
UID:16291-1701360000-1701365400@www.scienceofintelligence.de
SUMMARY:Martin Rolfs (Science of Intelligence)
DESCRIPTION:More details to follow.\n\n\nThis talk will take place in person at SCIoI (room 2.057). \n  \n 
URL:https://www.scienceofintelligence.de/event/pi-lecture-with-martin-rolfs/
LOCATION:MAR 2.057
CATEGORIES:PI Lecture
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2023/08/rolfs.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20231130T100000
DTEND;TZID=Europe/Berlin:20231130T110000
DTSTAMP:20260404T101932
CREATED:20231020T092645Z
LAST-MODIFIED:20250603T125309Z
UID:17048-1701338400-1701342000@www.scienceofintelligence.de
SUMMARY:Eva Wiese (TU Berlin)\, “Social Perception and Attention in Human-Robot Interaction: Bottom-Up and Top-Down Influences”
DESCRIPTION:Eva Wiese is the professor for Cognitive Psychology and Ergonomics at TU Berlin. More details to follow.\n\n\n\nThis talk will take place in person at SCIoI. \nPhoto by Possessed Photography on Unsplash\,  \n 
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-eva-wiese/
LOCATION:MAR 2.057
CATEGORIES:Thursday Morning Talk
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2023/10/possessed-photography-zbLW0FG8XU8-unsplash-e1700583952116.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20231116T160000
DTEND;TZID=Europe/Berlin:20231116T173000
DTSTAMP:20260404T101932
CREATED:20230802T121456Z
LAST-MODIFIED:20240813T102825Z
UID:16288-1700150400-1700155800@www.scienceofintelligence.de
SUMMARY:Marc Toussaint (Science of Intelligence)\, "Planning-as-Inference vs. Optimization"
DESCRIPTION: \n\nThis talk will take place in person at SCIoI (room 2.057). \n 
URL:https://www.scienceofintelligence.de/event/pi-lecture-with-marc-toussaint-2/
LOCATION:MAR 2.057
CATEGORIES:PI Lecture
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2023/08/20201020-SCIOI-MarcToussaint1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20231109T183000
DTEND;TZID=Europe/Berlin:20231109T193000
DTSTAMP:20260404T101932
CREATED:20241029T132910Z
LAST-MODIFIED:20250603T125328Z
UID:19338-1699554600-1699558200@www.scienceofintelligence.de
SUMMARY:Berlin Science Week 2023 – David Bierbach\, “From Chaos to Order: How Large Collectives Benefit From Being in a Critical State Between Complete Disorder and Strong Structure”
DESCRIPTION:SCIoI member David Bierbach showcases the RoboFish demonstrator and invited the audience to explore collective behaviour and its connection to robotics and artificial intelligence. Inspired by the rules that shape fish and bird swarms\, the project that underlies this demonstrator explores the complexities of social interactions. The robotic fish integrates itself into groups of live fish and enable thus the study of social processes within groups – something that is not possible without Robo Fish! In this demonstrator\, you can steer the Robo Fish and test how well you would act as a “real” fish. The Robo Fish holds immense research potential\, fostering collaborations with biologists\, roboticists and physicists.
URL:https://www.scienceofintelligence.de/event/berlin-science-week-2023-david-bierbach-from-chaos-to-order-how-large-collectives-benefit-from-being-in-a-critical-state-between-complete-disorder-and-strong-structure-at-berlin-science-week/
CATEGORIES:For the Public
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2024/04/495500-PDI_BSW2023-24.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20231109T160000
DTEND;TZID=Europe/Berlin:20231109T173000
DTSTAMP:20260404T101932
CREATED:20230802T121104Z
LAST-MODIFIED:20250603T125339Z
UID:16285-1699545600-1699551000@www.scienceofintelligence.de
SUMMARY:Pawel Romanczuk (Science of Intelligence)\, “Collective Behavior – Quid Est?”
DESCRIPTION:Collective behavior is a generic term used across many different fields and context\, and thus it can refer to very different kind of collective phenomena exhibited by animal and human collectives\, such as collective locomotion\, collective decision making or behavioral contagion processes. In this lecture\, I will try to give a classification of different types of collective behaviors highlighting potential similarities and differences from a theoretical point of view. Further\, I will provide a brief overview on how they are typically modeled. Finally\, I will discuss ambiguities on what is actually meant e.g. by collective decision making\, and how caution should be executed when adopting some idealized models from statistical physics to model real-world phenomena. \n  \n\n\nThis talk will take place in person at SCIoI (room 2.057). \n  \n 
URL:https://www.scienceofintelligence.de/event/pi-lecture-with-pawel-romanczuk-3/
LOCATION:MAR 2.057
CATEGORIES:PI Lecture
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2023/08/romanczuk_800.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20231109T100000
DTEND;TZID=Europe/Berlin:20231109T110000
DTSTAMP:20260404T101932
CREATED:20231004T125227Z
LAST-MODIFIED:20250603T125349Z
UID:16860-1699524000-1699527600@www.scienceofintelligence.de
SUMMARY:Daniela Vallentin (MPI for Biological Intelligence)\, “Neural Mechanisms of Vocal Learning and Production in Songbirds”
DESCRIPTION:Daniela Vallentin is a neuroscientist and currently the Lise Meitner Reseach Group Leader at the Max Planck Institute for Biological Intelligence\, heading the ‘Neural Circuits for Vocal Communication’ Group whose objective is to explore the neural circuits driving skilled motor learning and orchestrating the coordination of precise movements by working with songbirds. Due to the homology of brain structures in birds and mammals\, studying the neural mechanisms of vocal learning and coordination in songbirds has the potential to reveal general principles of motor circuits in other animals\, including humans.\n\n\n\nThis talk will take place in person at SCIoI. \nPhoto by Joshua J. Cotten on Unsplash \n 
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-daniela-vallentin-mpi-for-biological-intelligence-neural-mechanisms-of-vocal-learning-and-production-in-songbirds/
LOCATION:MAR 2.057
CATEGORIES:Thursday Morning Talk
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2023/10/joshua-j-cotten-NgSPFaBWICo-unsp.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20231102T193000
DTEND;TZID=Europe/Berlin:20231102T210000
DTSTAMP:20260404T101932
CREATED:20231018T112404Z
LAST-MODIFIED:20240513T125104Z
UID:17992-1698953400-1698958800@www.scienceofintelligence.de
SUMMARY:Intercluster Science Slam at Berlin Science Week
DESCRIPTION:On 2 November we will be back: the seven Berlin Excellence Clusters are organizing another science slam for the Berlin Science Week 2023. Last year’s great success demonstrated what a fun event it is and how much interest there is in the research areas of the seven Excellence Clusters. Make sure not to miss Berlin’s brightest scientists on the stage! \nEarly career scientists from the seven Clusters present their research projects in an engaging and entertaining way\, as they compete for the honor of best Science-Slammer. As always: the louder the cheers\, the safer the win! You can expect a potpourri of knowledge; from application-oriented mathematics\, artificial intelligence\, catalysis/green chemistry\, and neuroscience\, to active materials\, and even to liberal democracy and world literature. Show up\, support your favorites\, and get smarter! \nAt our Science Slam\, scientists try everything to entertain their audience. The sky is the limit when it comes to what’s possible. Costumes\, props\, movies\, power-point presentations or other experimental setups – everything is allowed. The only limit is time – every slammer will have ten minutes at most. And the audience will decide which presentation is best through clapping and enthusiastic cheers!
URL:https://www.scienceofintelligence.de/event/intercluster-science-slam-at-berlin-science-week-2/
CATEGORIES:For the Public
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2024/04/Science-Slam-Photo-for-WP-768x1365-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20231102T100000
DTEND;TZID=Europe/Berlin:20231102T110000
DTSTAMP:20260404T101932
CREATED:20230918T084845Z
LAST-MODIFIED:20250603T125402Z
UID:16719-1698919200-1698922800@www.scienceofintelligence.de
SUMMARY:Jonas Frenkel and Uroš Petković (Science of Intelligence)\, “Social Responsiveness and Its Effects on Learning in Human-Human and Human-Robot Interaction”
DESCRIPTION:More details to follow.\n\n\nThis talk will take place in person at SCIoI. \nPhoto by Katja Anokhina on Unsplash. \n 
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-project-31-social-responsiveness-and-its-effects-on-learning-in-human-human-and-human-robot-interaction/
LOCATION:MAR 2.057
CATEGORIES:Thursday Morning Talk
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2023/09/katja-anokhina-_7ceGXTAtyQ-unsplash.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20231026T100000
DTEND;TZID=Europe/Berlin:20231026T110000
DTSTAMP:20260404T101932
CREATED:20230927T091538Z
LAST-MODIFIED:20250603T125413Z
UID:16730-1698314400-1698318000@www.scienceofintelligence.de
SUMMARY:Svetlana Levit\, “Analyzing Human Physical Reasoning and Strategy Exploration on Physical Puzzles”
DESCRIPTION:More details to follow.\n\n\nThis talk will take place in person at SCIoI. \nPhoto by Markus Spiske on Unsplash. \n 
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-svetlana-levit-project-30/
LOCATION:MAR 2.057
CATEGORIES:Thursday Morning Talk
ATTACH;FMTTYPE=image/png:https://www.scienceofintelligence.de/wp-content/uploads/2023/09/Screen-Shot-2021-07-22-at-07.50.11.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20231019T170000
DTEND;TZID=Europe/Berlin:20231109T190000
DTSTAMP:20260404T101932
CREATED:20231005T105120Z
LAST-MODIFIED:20240422T135100Z
UID:16865-1697734800-1699556400@www.scienceofintelligence.de
SUMMARY:Airbound: Sensing Collective Futures
DESCRIPTION:  \nFrom molecule to atmosphere: the global climate crisis and the possible futures of our coexistence will be decided by means of air. We are »airbound« – bound through air.  \nHow can we create a sense of what is coming? And what will connect us in the future? \nThe exhibition »Airbound« features climate fictions and speculative everyday scenarios – developed in an open process by collaborators from society\, science\, and design. Through speculative installations\, »Airbound« provides space to discuss urgent geopolitical issues. At stake are the contested knowledge of the climate\, the destructive use of joint resources\, and the injustices that are inherently connected. Air is critically bound to these – as collective\, active\, and intelligent material. \nThe interactive exhibits problematize the technical promises of climate engineering and life under the pressure of ever-increasing emissions. They present designerly and research-based approaches to what air carries with it and to the intimate processes of breathing. What kind of air would we inhabit once climatic tipping points have been passed? In which ways do local approaches and other technologies offer hope? What new (breathing) practices and routines are we developing as individuals and collectives? \nThe exhibition and all accompanying events and workshops are free of charge. \nThe exhibition rooms are wheelchair accessible. \n  \nEvents & Workshops \nOct 19\nVernissage  \nOct 20\nPublic guided tour\n(in German) \nOct 21\nSpeculative Workshop\, CLB Berlin\n(in German\, registration required) \nNov 04\nSpeculative Workshop\, Museum für Naturkunde\n(in English\, registration required) \nNov 09\nFinissage
URL:https://www.scienceofintelligence.de/event/airbound-sensing-collective-futures/
LOCATION:CLB BERLIN\, Prinzenstraße 84.2\, Berlin\, 10969\, Germany
CATEGORIES:External Event
ATTACH;FMTTYPE=image/png:https://www.scienceofintelligence.de/wp-content/uploads/2023/09/Screenshot-2023-09-27-at-14.24.16.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20231019T160000
DTEND;TZID=Europe/Berlin:20231019T173000
DTSTAMP:20260404T101932
CREATED:20230719T111058Z
LAST-MODIFIED:20240813T102941Z
UID:16167-1697731200-1697736600@www.scienceofintelligence.de
SUMMARY:Jens Krause (Science of Intelligence)\, "Collective Behaviour and Collective Memory"
DESCRIPTION:Abstract: \nThe idea that animal groups can have collective memories has been raised a number of times in different contexts. The information centre hypothesis predicts that communal roosts allow for information exchange between individuals so that successful foragers\, for example\, can be followed by others to promising sites. A different approach to collective memory has been taken in the field of collective behaviour where it has been shown that information regarding predation risk\, for example\, can be structurally encoded in the network topology of the interacting individuals. While the information centre hypothesis is empirically well supported\, the full information can be carried by a single individual which questions the description as a “collective” memory. Structurally encoded information\, on the other hand\, meets the criterion of a collective process but empirical studies have demonstrated encoded information only for as long as the risk was present which may not satisfy the criterion of a memory. This raises the question of whether collective processes exist that can encode information regarding environmental states or events even after they are no longer directly observable. In this talk I will present data from project 41 which suggest collective wave formation in sulphur mollies as a potential example of a collective memory.\n\nThis talk will take place in person at SCIoI (room 2.057). \n  \n 
URL:https://www.scienceofintelligence.de/event/pi-lecture-with-jens-krause-collective-behaviour-and-collective-memory/
LOCATION:MAR 2.057
CATEGORIES:PI Lecture
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2023/07/krause_800.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20231019T100000
DTEND;TZID=Europe/Berlin:20231019T110000
DTSTAMP:20260404T101932
CREATED:20230918T084300Z
LAST-MODIFIED:20240813T102952Z
UID:16715-1697709600-1697713200@www.scienceofintelligence.de
SUMMARY:Richard Schweitzer (Science of Intelligence)\, "Preregistration in Open Science: What\, why\, and how (a live tutorial)"
DESCRIPTION:Abstract: \nA tutorial on Open Science practices with a focus on pre-registration\, going through the process step-by-step\, including a live experimental data collection.\n\n\nThis talk will take place in person at SCIoI. \nPhoto by Markus Spiske on Unsplash. \n 
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-richard-schweitzer-preregistration-in-open-science-what-why-and-how-a-live-tutorial/
LOCATION:MAR 2.057
CATEGORIES:Thursday Morning Talk
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2023/09/markus-spiske-70Rir5vB96U-unspla.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20231012T160000
DTEND;TZID=Europe/Berlin:20231012T173000
DTSTAMP:20260404T101932
CREATED:20230802T120919Z
LAST-MODIFIED:20250603T125716Z
UID:16282-1697126400-1697131800@www.scienceofintelligence.de
SUMMARY:Rasha Abdel Rahman (Science of Intelligence)\, “How Intelligent Is Visual Perception?”
DESCRIPTION:Abstract: \nVisual perception is shaped by the input from our physical environment and by expectations derived from our sensory experience with the visual world. But is what we see also influenced by higher cognitive capacities such as memories\, language\, semantic knowledge or (true or false) beliefs? And if so\, what are the consequences on how we perceive and understand the visual and social world around us? Can visual perception be described as a creative process that is guided\, sometimes mislead or biased\, and\, arguably more often\, augmented by top-down influences from higher-level cognition? These questions pertain to the long-standing debate around the penetrability of perception. I will discuss evidence for effects of cognition on perception from basic low-level to complex high-level processing of colors\, objects\, faces and symbols\, as well as effects on the potential of these stimuli to be consciously perceived. The incorporation of additional sources of information may enhance the efficiency and flexibility of visual perception not only in humans\, but also in artificial neural networks that do not typically incorporate top-down information. In perspective\, this may enhance resource and data efficiency\, flexible adaptations to different contexts\, and mutual understanding between human and artificial agents in the service of successful interactions. \n  \n\n\nThis talk will take place in person at SCIoI (room 2.057). \n  \n 
URL:https://www.scienceofintelligence.de/event/pi-lecture-with-rasha-abdel-rahman/
LOCATION:MAR 2.057
CATEGORIES:PI Lecture
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2023/08/abdelrahman_800.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20231005T100000
DTEND;TZID=Europe/Berlin:20231005T110000
DTSTAMP:20260404T101932
CREATED:20230515T104937Z
LAST-MODIFIED:20250603T125727Z
UID:15430-1696500000-1696503600@www.scienceofintelligence.de
SUMMARY:Conor Heins\, “Collective Behavior From Surprise Minimization”
DESCRIPTION:Abstract: \nCollective motion is a familiar sight in nature; groups of distinct\, self-propelled individuals appear to move as a coherent whole\, exhibiting a rich behavioral repertoire that ranges from directed movement to milling to disordered swarming. Biological collective motion is an emergent phenomenon that is the result of self-organization\, whereby macroscopic patterns arise from decentralized\, local interactions among constituent components (e.g.\, individual fish in a school). Preminent models of collective motion describe individuals in the group as self-propelled particles\, subject to a combination of self-generated motion and “social forces” that depend on the state of neighboring particles. Here we introduce a fundamentally new approach to modelling collective movement in animal groups based on active inference\, a cognitive framework that casts behavior as consequences of a single imperative: to minimize surprise. We demonstrate that many empirically-observed collective phenomena\, including cohesion\, milling and directed motion\, naturally emerge when considering individual behavior as the consequence of active Bayesian inference — this emerges without ever explicitly building behavioral rules or goals into individual agents. We show that active inference can naturally recover and generalize the classical notion of social forces in agent-based models of collective motion. By analyzing the parameter space of the belief-based model\, we reveal non-trivial relationships between the beliefs of individuals and group properties like collective polarization and the probability of occupying different behavioral regimes. We also explore how individual beliefs about uncertainty influence the accuracy of collective decision-making. Finally\, we show how\, in this framework\, agents can readily update their generative model over time\, resulting in groups that are collectively more sensitive to external fluctuations and encode information more robustly.\n\n\nThis talk will take place in person at SCIoI. \nPhoto kinldy provided by Shintaro Shiba. \n 
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-conor-heins-collective-behavior-from-surprise-minimization/
LOCATION:MAR 2.057
CATEGORIES:Thursday Morning Talk
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2023/05/sawyer-bengtson-umRPY9w3q1c-unsp.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230922T090000
DTEND;TZID=Europe/Berlin:20230922T190000
DTSTAMP:20260404T101932
CREATED:20230822T112616Z
LAST-MODIFIED:20241007T112620Z
UID:19174-1695373200-1695409200@www.scienceofintelligence.de
SUMMARY:Science of Intelligence Fair 2023
DESCRIPTION:The first conference and exhibition of the Cluster of Excellence Science of Intelligence (SCIoI) in Berlinwas held in September 2023. Leading experts from science and politics\, as well as journalists and the broader public came together to discuss the diverse facets of intelligence research. From individual\, social\, and collective principles of intelligence to the ethics of AI\, the event offered a display of interdisciplinary collaboration and advancements from within the cluster\, shedding light on the challenges of developing intelligent technologies. In guided tours through the accompanying exhibition that were held throughout the day\, attendees got into exchange with the scientists and learned about the most recent research on intelligence straight from the labs. \nFind in-depth information on the event here.
URL:https://www.scienceofintelligence.de/event/science-of-intelligence-fair-2023/
CATEGORIES:For the Public
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230720T160000
DTEND;TZID=Europe/Berlin:20230720T173000
DTSTAMP:20260404T101932
CREATED:20230119T094413Z
LAST-MODIFIED:20250603T125757Z
UID:14083-1689868800-1689874200@www.scienceofintelligence.de
SUMMARY:Olaf Hellwich (Science of Intelligence)\, “State Vectors of Computer Vision at Time T=Now. Perspectives\, Particles and Predictions”
DESCRIPTION:We take varying perspectives to the state of the art in Computer Vision: e.g. from SCIoI\, disciplinary and interdisciplinary viewpoints. Sampling from the multi-modal state vector distribution\, we inspect currently exciting developments: e.g. the integration of computer vision and language processing\, the use of biological principles in synthetic systems\, and self supervision. Generalizing from the examples\, we dare to extrapolate societal impact\, e.g. w.r.t. the application of artificial intelligence\, defense questions and the future of evolution.
URL:https://www.scienceofintelligence.de/event/pi-lecture-with-olaf-hellwich-2/
LOCATION:MAR 2.057
CATEGORIES:PI Lecture
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2023/01/hellwich_800.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230720T100000
DTEND;TZID=Europe/Berlin:20230720T110000
DTSTAMP:20260404T101932
CREATED:20230605T103948Z
LAST-MODIFIED:20240813T103027Z
UID:15696-1689847200-1689850800@www.scienceofintelligence.de
SUMMARY:Lisa-Kristin Richter\, "Model Training for Facial Recognition of Raccoons"
DESCRIPTION:Machine learning tools have already been used to identify individual animals such as but not limited to pandas\, black bears\, cows and dogs. These tools can help to improve the quality of non-invasive wildlife monitoring and enhance the information on individual animal behaviour as well as on behaviour within social networks of the animals (Lynn 2019; Schofield et al. 2019). \nRaccoons (proctorloco) are considered an invasive species in Germany that has been introduced to many parts of the world outside of their native range in North America. \nIn order to train a model for facial recognition of raccoons\, we collected 7812 pictures of 133 individuals. After manual selection for quality focusing on sharpness\, image detail and light\, 111individuals with 4000 pictures remain in the dataset. The individuals were pictured in more than 10 different facilities and locations with different lights and angles. From this baseline dataset\, one data set using bounding boxes is created for training and one dataset using masks is also created for training. This is done to keep the influence of the background minimal. \nFinally\, this data is used to train different pre-trained deep learning models from Image Net\, namely ResNet50\, VGG19 and Mobile Net. While model training parameters like batch size\, number of epochs\, learning rate scheduler\, picture augmentation techniques and more are being varied. \nChallenges arise from the time and computer resources needed for training.Currently\, training is done via Google Colab\, which disconnects after a certain time. Furthermore\, input on dataset preprocessing\, model selection\, possible combination of models and variation in parameters would be very helpful. \nThis talk will take place in person at SCIoI. \nPhoto by Lukas Stoermer on Unsplash \n 
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-lisa-kristin-richter/
LOCATION:MAR 2.057
CATEGORIES:Thursday Morning Talk
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2023/06/lukas-stoermer-C0hX1cRQPOY-unspl.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230713T100000
DTEND;TZID=Europe/Berlin:20230713T110000
DTSTAMP:20260404T101932
CREATED:20230605T103302Z
LAST-MODIFIED:20240813T103032Z
UID:15693-1689242400-1689246000@www.scienceofintelligence.de
SUMMARY:Santiago Paternain\, "Safe Learning for Dynamical Systems and Control"
DESCRIPTION:Abstract: \nReinforcement learning has shown great success in controlling complex dynamical systems. However\, when training a policy\, most algorithms only consider a single objective function. While this may suffice in virtual domains\, physical systems must satisfy a set of operational constraints\, with safety being of crucial importance. It is natural to express these problems as constrained optimization problems since weighted combinations of different rewards are not guaranteed to find a solution that satisfies all the requirements. Furthermore\, these examples are not contrived\, and safety-constrained reinforcement learning is a vital area of research that needs to be tackled. \nAfter establishing the need to tackle safety-constrained reinforcement learning\, I will shift my focus to solving these generally non-convex problems. I will discuss different approaches that exploit duality theory to pave the way towards algorithms for general constrained reinforcement learning. In particular\, I will discuss that (i) despite their non-convexity these problems have zero duality gap\, (ii) a state-augmented approach that does not guarantee convergence to an optimal policy but\, it guarantees optimality and (iii) a safe policy-gradient theorem that allows us to consider constraints beyond time-averages. \nThis talk will take place in person at SCIoI. \n  \nPhoto by Jeswin Thomas on Unsplash \n 
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-santiago-paternain/
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230629T100000
DTEND;TZID=Europe/Berlin:20230629T110000
DTSTAMP:20260404T101932
CREATED:20230320T104739Z
LAST-MODIFIED:20240813T103037Z
UID:15010-1688032800-1688036400@www.scienceofintelligence.de
SUMMARY:Michael Taborsky\, "The Evolution of Social Behaviour"
DESCRIPTION:Abstract:\nThe social structure and behaviour of organisms is highly divergent. How can this stunning diversity in nature be explained? I will argue that a few key principles are responsible for the evolution of social behaviour\, with all its simple and complex manifestations. Organisms compete for resources. As survival and reproduction require resources and only fiction knows a land of milk and honey\, different individuals inevitably compete due to their own diverging fitness interests. To succeed in the competition for resources\, organisms may either “race” to be quicker than others\, “fight” for privileged access\, or “share” their efforts and gains. In this talk\, I attempt to show how the ecology and intrinsic attributes of organisms select for each of these strategies. My special emphasis will be on the evolution of cooperation\, with examples including a range of different taxa. Here the crucial question is how the conflict of fitness interests can be mediated to allow competitors for resources to unite and benefit from collective goal pursuit. \nThis talk will take place in person at SCIoI. \nPhoto by Torsten Dederichs on Unsplash \n 
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-michael-taborsky-the-evolution-of-social-behaviour/
CATEGORIES:Thursday Morning Talk
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2023/03/torsten-dederichs-JrL4qgiHZNQ-unsplash.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230622T160000
DTEND;TZID=Europe/Berlin:20230622T173000
DTSTAMP:20260404T101932
CREATED:20230119T093719Z
LAST-MODIFIED:20240813T103047Z
UID:14077-1687449600-1687455000@www.scienceofintelligence.de
SUMMARY:Jörg Raisch (Science of Intelligence)\, "Efficient Consensus over Wireless Channels & and its Use in Traffic Automation Problems"
DESCRIPTION:Consensus algorithms are routinely employed in a variety of multi-agent scenarios. They require that each agent iteratively evaluates a multivariate function of its neighbours’ information states. If a wireless communication channel is used\, this is typically implemented through protocols (such as TDMA – Time Division Multiple Access) that avoid superposition of transmitted signals by assigning each transmitter its own (time) slot.However\, consensus only requires that agents know a function of their neighbours’ information states\, not the individual information states. Hence one may ask whether using the famous Kolmogorov-Arnold representation theorem might allow to exploit the channel’s superposition property to drastically reduce communication effort. Kolmogorov-Arnold essentially states that every continuous multivariate function can be expressed via univariate functions and addition. If channel superposition were to be considered as addition\, all agents could consequently simultaneously transmit a suitably preprocessed version of their information state\, with receiving agents locally postprocessing the received superposition signal.\nWe will explain for two widely used consensus types (average consensus and max-consensus) why in practice the application of Kolmogorov-Arnold is notquite as straightforward. For both consensus types\, we will suggest alternative approaches\, which make use of the channel’s superposition property whilehandling non-ideality effects such as time-varying unknown channel coefficients. By allowing all agents to transmit at the same time\, the required number oftransmission slots is considerably reduced. In the second part of the talk\, we will demonstrate how average and max-consensus algorithms can be used in various traffic automation scenarios. This includes platooning\, distributed automatic lane changing\, and distributed automation of traffic intersections.
URL:https://www.scienceofintelligence.de/event/pi-lecture-with-jorg-raisch/
LOCATION:MAR 2.057
CATEGORIES:PI Lecture
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230622T100000
DTEND;TZID=Europe/Berlin:20230622T110000
DTSTAMP:20260404T101932
CREATED:20230320T104029Z
LAST-MODIFIED:20240813T103057Z
UID:15007-1687428000-1687431600@www.scienceofintelligence.de
SUMMARY:Mohsen Raoufi (Science of Intelligence)\, From State Estimation to Collective Estimation\, and from Individuality to Complexity in Swarm Robotic Systems
DESCRIPTION:Using swarm optimization algorithms as heuristic solutions in various engineering problems\, including the state estimation of nonlinear systems\, has been an inspiration to me for my SCIoI project. We started our project by studying the “Wisdom of Crowds” effect\, i.e. the notion that the average of many imperfect estimations\, under the right conditions\, can potentially yield a perfect estimation. However\, achieving an accurate estimation in a distributed manner requires individuals to finely balance many tradeoffs\, e.g. the exploration-exploitation trade-off. In addition to discussing a few of these tradeoffs in my talk\, I will demonstrate how the interaction of agents leads to more complex behavior\, particularly when the connectivity of the communication network is limited. For instance\, this limitation results in the emergence of “echo-chambers” in the collectives. \nIn the second part\, I will talk about the inter-individual variations we observed during real robot experiments with Kilobots. This side project opened up a new dimension to the complexity of the individual and collective behaviors in swarm robotic systems. \nThis talk will take place in person at SCIoI. \nPhoto by Alina Grubnyak on Unsplash \n 
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-mohsen-raoufi/
CATEGORIES:Thursday Morning Talk
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2023/03/20201020-SCIOI-Raoufi2.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230617T200000
DTEND;TZID=Europe/Berlin:20230617T230000
DTSTAMP:20260404T101932
CREATED:20230529T132247Z
LAST-MODIFIED:20240514T102008Z
UID:19365-1687032000-1687042800@www.scienceofintelligence.de
SUMMARY:Lange Nacht der Wissenschaften 2023 - Exzellentes Pub Quiz
DESCRIPTION:Together with the other six Berlin Clusters of Excellence\, we are organizing a quiz night: the Excellent Pub Quiz! This event is expected to attract team players\, puzzle enthusiasts\, and science fans alike\, offering an excellent opportunity to enjoy a summer evening in a relaxed atmosphere while putting your knowledge to the test. The Quiz will put your knowledge to the test with questions drawn from various research areas of the Berlin Clusters of Excellence. No synapse will be left unused as you delve into the depths of diverse scientific subjects. From physics to biology\, mathematics to sociology\, the quiz covers it all\, ensuring that there will be something for everyone. So\, gather your teammates\, think of a team name\, and win one of the great prizes!
URL:https://www.scienceofintelligence.de/event/lange-nacht-der-wissenschaften-2023-exzellentes-pub-quiz/
CATEGORIES:For the Public
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230617T113000
DTEND;TZID=Europe/Berlin:20230617T220000
DTSTAMP:20260404T101932
CREATED:20230529T130055Z
LAST-MODIFIED:20241007T113209Z
UID:19349-1687001400-1687039200@www.scienceofintelligence.de
SUMMARY:Lange Nacht der Wissenschaften 2023 - The wandering eye: An experiment on visual search
DESCRIPTION:We constantly move our eyes\, approximately three times per second\, and even more if we search for something. We do this to place individual objects into the region where we see with highest resolution\, the fovea. But can you still find a target if you can not see with your fovea? Or what about if you only see with the fovea\, and not in the periphery? Come find out! The demonstration will be given by Nicolas Roth.
URL:https://www.scienceofintelligence.de/event/lange-nacht-der-wissenschaften-2023-the-wandering-eye-an-experiment-on-visual-search/
CATEGORIES:For the Public
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2024/04/v2osk-In4XVKhYaiI-unsplash-1300x1300-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230617T100000
DTEND;TZID=Europe/Berlin:20230617T210000
DTSTAMP:20260404T101932
CREATED:20230529T130847Z
LAST-MODIFIED:20240813T102543Z
UID:19353-1686996000-1687035600@www.scienceofintelligence.de
SUMMARY:Lange Nacht der Wissenschaften 2023 - Mohsen Raoufi\, "Meet the Swarm Robots"
DESCRIPTION:Swarms\, such as schools of fish\, and flocks of birds\, have shown a great capability of solving complex problems in nature. Such examples are bees finding the best nest site\, or fish escaping from a predator. In this demostration Mohsen Raoufi\, at the Swarm Robotics Lab of SCIoI\, will demonstrate how a swarm of robots can solve problems\, make accurate decisions\, and perform tasks collectively using bio-inspired algorithms.
URL:https://www.scienceofintelligence.de/event/lange-nacht-der-wissenschaften-2023-mohsen-raoufi-meet-the-swarm-robots/
CATEGORIES:For the Public
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2024/04/raufilnw23.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230617T093000
DTEND;TZID=Europe/Berlin:20230617T210000
DTSTAMP:20260404T101932
CREATED:20230529T132103Z
LAST-MODIFIED:20240429T132202Z
UID:19361-1686994200-1687035600@www.scienceofintelligence.de
SUMMARY:Lange Nacht der Wissenschaften 2023 - Meet Pepper
DESCRIPTION:Who is Pepper? The humanoid robot we use in our labs helps us understand social interactions between robots and humans\, and if it’s easy to see why that works so well. Pepper is designed to quickly develop a connection with its human interlocutor. Come and try it for yourself!
URL:https://www.scienceofintelligence.de/event/lange-nacht-der-wissenschaften-2023-meet-pepper/
CATEGORIES:For the Public
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230617T093000
DTEND;TZID=Europe/Berlin:20230617T210000
DTSTAMP:20260404T101932
CREATED:20230529T131720Z
LAST-MODIFIED:20250603T125838Z
UID:19356-1686994200-1687035600@www.scienceofintelligence.de
SUMMARY:Lange Nacht Der Wissenschaften 2023 – Rediscovering Intelligence – Learning\, Thinking and Acting in Mind and Machine
DESCRIPTION:Under what conditions does a system behave intelligently? What meaning does the attribution of intelligent behavior to non-human systems carry? The event illustrates different perspectives from the philosophy of cognition and invites a joint discussion of these questions. (Event in German)
URL:https://www.scienceofintelligence.de/event/lange-nacht-der-wissenschaften-2023-rediscovering-intelligence-learning-thinking-and-acting-in-mind-and-machine/
CATEGORIES:For the Public
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230615T100000
DTEND;TZID=Europe/Berlin:20230615T110000
DTSTAMP:20260404T101932
CREATED:20230515T103356Z
LAST-MODIFIED:20240813T102222Z
UID:15424-1686823200-1686826800@www.scienceofintelligence.de
SUMMARY:Ulrike Scherer and Sean Ehlman (Science of Intelligence)
DESCRIPTION:Abstract: \nCollective dynamics play a crucial role in everyday decision-making. Whether social influence promotes the spread of accurate information and ultimately results in collective intelligence or leads to false information cascades and maladaptive social contagion depends on the cognitive mechanisms underlying social interactions. \nThis talk will take place in person at SCIoI. \n  \n 
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-project-21/
LOCATION:MAR 2.057
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230608T100000
DTEND;TZID=Europe/Berlin:20230608T110000
DTSTAMP:20260404T101932
CREATED:20230320T103137Z
LAST-MODIFIED:20240813T102253Z
UID:15001-1686218400-1686222000@www.scienceofintelligence.de
SUMMARY:Oussama Zenkri and Florian Bolenz (Science of Intelligence)\, "Complex Behavior From Simple Strategies"
DESCRIPTION:Abstract: \nIn our project\, we explore the idea that complex\, intelligent behavior can be generated by selecting from simple strategies in a smart way. In the first part\, we will talk about how we tested this idea of strategy selection in the context of human decision making under risk\, and we will discuss the potential and remaining challenges of this approach. In the second part\, we will move to more complex behavior and present a lockbox-like task that we have designed to investigate strategy learning and strategy selection in human exploration behavior. \nThis talk will take place in person at SCIoI. \n  \n 
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-ousama-zenkri-and-florian-bolenz/
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230601T100000
DTEND;TZID=Europe/Berlin:20230601T110000
DTSTAMP:20260404T101932
CREATED:20230515T103018Z
LAST-MODIFIED:20250603T125855Z
UID:15421-1685613600-1685617200@www.scienceofintelligence.de
SUMMARY:Milagros Miceli\, “Transparency for Whom? Designing Data Documentation With Data Workers”
DESCRIPTION:Abstract:  \nThe opacity of datasets poses a significant challenge to creating inclusive and intelligible machine learning (ML) systems. Various AI ethics initiatives have addressed this issue by proposing standardized dataset documentation frameworks based on the value of transparency.  In this talk\, I propose a shift of perspective: from documenting for transparency to documenting for reflexivity. Based on a long-term project with outsourced data workers in Argentina\, Bulgaria and Syria\, I argue for the need of designing documentation starting from the needs and experience of the workers who collect\, sort\, and label the data that trains ML models. This requires considering the historical inequalities\, working conditions\, and epistemological standpoints that shape both data work and datasets. \nThis talk will take place in person at SCIoI. \nPhoto by Hunter Harritt on Unsplash \n  \n 
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-dr-milagros-miceli/
LOCATION:MAR 2.057
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230525T100000
DTEND;TZID=Europe/Berlin:20230525T110000
DTSTAMP:20260404T101932
CREATED:20230502T161051Z
LAST-MODIFIED:20240813T102306Z
UID:15305-1685008800-1685012400@www.scienceofintelligence.de
SUMMARY:Shintaro Shiba\, "From Events to Motion to its Applications"
DESCRIPTION:Abstract:\n\nEstimating motion from image sensors is a fundamental problem in computer vision and robotics. Event cameras are novel bio-inspired sensors that provide a signal suitable for estimating motion because their pixels naturally respond to intensity changes\, which are tightly related to motions in the scene. However\, event data is fundamentally different from conventional frame data\, which leads us to rethink visual processing. In this talk\, we focus on a single problem setting: motion estimation using an event camera\, where we show an example where such a rethinking plays an important role. Furthermore\, we demonstrate how the estimated motion can be further utilized to various downstream tasks\, such as depth estimation\, motion segmentation\, intensity reconstruction\, and imaging fluctuations of air density. We hope to deepen the understanding of various motion estimation tasks in the emerging field of event-based vision.\n\nThis talk will take place in person at SCIoI. \nPhoto kinldy provided by Shintaro Shiba. \n 
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-shintaro-shiba/
LOCATION:MAR 2.057
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END:VEVENT
END:VCALENDAR