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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200618T100000
DTEND;TZID=Europe/Berlin:20200618T110000
DTSTAMP:20260403T214443
CREATED:20200528T092941Z
LAST-MODIFIED:20240417T125547Z
UID:7990-1592474400-1592478000@www.scienceofintelligence.de
SUMMARY:Manuel Lopes (hosted by Marc Toussaint): Optimal Behavior Without Optimal Rewards : Artificial Vs Natural
DESCRIPTION:Abstract:\nResearch in robotics and A.I. aims at optimizing very specific task rewards. Intelligent animals have a high degree of curiosity\, and recent\nresults have shown that instrumental reward optimization is a poor explanation for their behavior. We can show that to explain empirical\nresults from animals\, we need to have the drive to optimize reward\, a drive to reduce uncertainty\, and a drive for positive cues. We then show examples in robotics where a more complex reward system provides benefits in learning.\n\nReferences:\nDaddaoua\, N.\, Lopes\, . & Gottlieb\, J. Intrinsically motivated oculomotor exploration guided by uncertainty reduction and conditioned\nreinforcement in non-human primates. Sci Rep 6\, 20202 (2016). https://doi.org/10.1038/srep20202\nLopes\, M.\, Lang\, T.\, Toussaint\, M.\, & Oudeyer\, P. Y. (2012). Exploration in model-based reinforcement learning by empirically estimating learning progress. In Advances in neural information processing systems (pp. 206-214).\n\n***Want to know more about this lecture? Contact us at communication@scioi.de\n\n(Photo by Franck V. on Unsplash)
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-manuel-lopes-hosted-by-marc-toussaint/
LOCATION:On ZOOM (Contact communication@scioi.de for link)
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200604T160000
DTEND;TZID=Europe/Berlin:20200604T173000
DTSTAMP:20260403T214443
CREATED:20200514T091801Z
LAST-MODIFIED:20240813T105506Z
UID:7933-1591286400-1591291800@www.scienceofintelligence.de
SUMMARY:Klaus Obermayer (SCIoI): Reward-based Learning and Decision Making under Risk
DESCRIPTION:Reward-based Learning and Decision Making under Risk \nReinforcement learning provides a framework for making agents learn policies through feedback signals (“rewards”)\, which provide information about whether their actions or action sequences were successful or not. Reinforcement learning also provides a framework for understanding how humans learn and decide given reward information only. Standard reinforcement learning assumes that good decisions / actions / policies are the ones which maximize expected reward as a proxy of success. Humans and animals\, on the other hand\, often do not behave this way\, and there is ample evidence for multiple factors which influence learning and decision making. In my talk I will specifically discuss the interaction between risk and reward. I will first present a mathematical framework for including outcome-induced risk into reinforcement learning on Markov decision processes\, and I will derive a risk-sensitive variant of model-free Q-learning which is useful for quantifying human behavior. Then I will discuss extensions of this framework to the partially observable case and show preliminary results for cases where risk is induced by perceptual uncertainty. \n***Want to know more about this lecture? Contact us at communication@scioi.de***
URL:https://www.scienceofintelligence.de/event/pi-lecture-klaus-obermayer-scioi/
LOCATION:On ZOOM (Contact us for Link)
CATEGORIES:PI Lecture
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200604T100000
DTEND;TZID=Europe/Berlin:20200604T110000
DTSTAMP:20260403T214443
CREATED:20200513T133146Z
LAST-MODIFIED:20250604T100143Z
UID:7927-1591264800-1591268400@www.scienceofintelligence.de
SUMMARY:Thursday Morning Talk With Matteo Colombo (Tilburg University): Bayesian Norms and the Rationality of Perception
DESCRIPTION:Patients suffering from schizophrenia are less susceptible to various perceptual illusions (and to some hallucinations\, too) than most healthy individuals. Yet\, schizophrenia patients’ perception-forming processes have been characterised as aberrant\, as producing false inferences and irrational mental states. This characterisation is consistent with the idea that perceptual experiences and processes can be appraised as rational or irrational. But it remains unclear what norms should govern this appraisal\, in either healthy individuals or psychiatric patients. In this paper\, we consider various norms of Bayesian rationality\, and argue that a violation of probabilism constitutes at least some cases of  irrationality of perception. Cases like schizophrenia patients’ resistance to illusions should be appraised as irrational\, because it depends on a kind of probabilistic incoherence among perceptual experiences. This probabilistic incoherence manifests itself phenomenologically as fragmented perceptual scenes\, whereby subjects of experience do not experience meaningful connections between the objects of their experiences. \n***Want to know more about this lecture? Contact us at communication@scioi.de*** \n(Photo by Joel Naren on Unsplash)
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-with-matteo-colombo-tilburg-university-bayesian-norms-and-the-rationality-of-perception/
LOCATION:On ZOOM (Contact us for Link)
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200528T100000
DTEND;TZID=Europe/Berlin:20200528T110000
DTSTAMP:20260403T214443
CREATED:20200513T133418Z
LAST-MODIFIED:20240813T105459Z
UID:7930-1590660000-1590663600@www.scienceofintelligence.de
SUMMARY:Alan Akbik (SCIoI): Automatically Understanding Human Language: Challenges and Applications
DESCRIPTION:With research in machine learning (ML) and natural language processing (NLP)\, we aim to give machines the ability to understand and use human language. In this talk\, I give a high level introduction of some of the challenges of the field and give an overview of basic NLP tasks (and show some demos). I also introduce the Flair framework – developed by my group together with the open source community – that allows you to use state-of-the-art NLP methods in your research or applications. Time permitting\, I’ll also briefly cover research aspects of the framework\, such as learning word and sentence representations with neural language modeling\, and discuss future directions.
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-with-alan-akbik-scioi-automatically-understanding-human-language-challenges-and-applications/
LOCATION:On ZOOM (Contact us for Link)
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200514T100000
DTEND;TZID=Europe/Berlin:20200514T230000
DTSTAMP:20260403T214443
CREATED:20200430T063831Z
LAST-MODIFIED:20250604T100512Z
UID:7896-1589450400-1589497200@www.scienceofintelligence.de
SUMMARY:Zoom Talk: Marianne Maertens & Martin Rolfs (SCIoI): A Potential Paradigm Shift in Vision Research
DESCRIPTION:More than an actual talk\, this will be an informal exchange on the theme of “A potential paradigm shift in vision search.” Active participation is warmly welcomed. This is an internal event\, meant for SCIoI members only.
URL:https://www.scienceofintelligence.de/event/zoom-talk-marianne-maertens-martin-rolfs-a-potential-paradigm-shift-in-vision-research/
LOCATION:On ZOOM (Contact us for Link)
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200507T160000
DTEND;TZID=Europe/Berlin:20200507T173000
DTSTAMP:20260403T214443
CREATED:20200430T063035Z
LAST-MODIFIED:20250604T100539Z
UID:7894-1588867200-1588872600@www.scienceofintelligence.de
SUMMARY:Rebecca Lazarides (SCIoI): The Role of Teaching and Instruction for Human Learning Processes
DESCRIPTION:Abstract: \nLearning – here defined as knowledge acquisition and behavioral changes caused by experiences – is a central prerequisite for the development of humans\, animals\, and some artificial agents. Against the backdrop of psychological and educational theories of learning and related empirical studies\, the talk addresses the following questions: How is learning influenced by social interaction? How do cognitive and motivational outcomes of learning processes develop in critical developmental stages of humans? How can teachers successfully enhance learning processes in humans?
URL:https://www.scienceofintelligence.de/event/pi-lecture-on-zoom-rebecca-lazarides-scioi-the-role-of-teaching-and-instruction-for-human-learning-processes/
LOCATION:On ZOOM (Contact us for Link)
CATEGORIES:PI Lecture
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200507T100000
DTEND;TZID=Europe/Berlin:20200507T110000
DTSTAMP:20260403T214443
CREATED:20200430T062524Z
LAST-MODIFIED:20250604T100553Z
UID:7891-1588845600-1588849200@www.scienceofintelligence.de
SUMMARY:Zoom Talk: Marc Touissant (SCIoI)\, "SCIoI Proposal Discussion: Rethinking Decisions and Tasks"
DESCRIPTION:ABSTRACT:\nThe goal of this presentation is to discuss a potential project\nproposal within RU2 of SCIoI\, in particular\, to initiate a discussion\nwith researchers from the analytic side. I will first briefly\nintroduce our recent work on physical reasoning and manipulation\nplanning. This work required us to develop elaborate solvers which\ninfluenced my view on the notion of decisions. For instance\, “early”\ndecisions in the reasoning process concern higher abstractions and\nfuture constraints — but mainly because the solver has limited\ncapacity and relies on decomposition. In that view\, decisions are a\nmeans of decomposition. Other interesting aspects concern the\nperseverance and switching of (higher) decisions during reasoning and\nexecution. I am curious to discuss relations to models of decision\nmaking in the analytical sciences and potential future projects.
URL:https://www.scienceofintelligence.de/event/zoom-talk-marc-touissant-scioi-proposal-discussion-rethinking-decisions-and-tasks/
LOCATION:On ZOOM (Contact us for Link)
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2020/04/marc-bw-small.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200430T100000
DTEND;TZID=Europe/Berlin:20200430T110000
DTSTAMP:20260403T214443
CREATED:20200420T102050Z
LAST-MODIFIED:20240813T105855Z
UID:7808-1588240800-1588244400@www.scienceofintelligence.de
SUMMARY:Zoom Lecture: Oliver Brock\, Verena Hafner\, Pawel Romanczuk (SCIoI): The Role of Example Behaviors in Science of Intelligence and for Your Project
DESCRIPTION:Thursday Morning Talk (on Zoom) \nAbstract: \nOne of the assumptions made in the original SCIoI proposal is that intelligence is non-decomposable. This means that intelligent behavior results to a large degree from the interactions between component and not only from the components themselves.  Components have different names\, depending on what discipline you are from.  If you look at the study of cognition\, you might call these components “attention\, the formation of knowledge\, memory and working memory\, judgment and evaluation\, reasoning and “computation”\, problem solving and decision making\, comprehension and production of language” [Wikipedia].  To be able to study the interactions among such components\, SCIoI has proposed three Example Behaviors\, each associated with a different “type” of intelligence: \n1) Escaping from an escape room – individual intelligence\n2) Learning in social interaction – social intelligence\n3) Cooperative shepherding – collective intelligence \nThese example behaviors integrate the synthetic output of SCIoI projects\, mostly from research unit 1\, but indirectly also from RU2 and RU3.  The idea is the following: If you develop an intelligence mechanism for visual attention\, this mechanism should demonstrate its validity in the context of an integrated “intelligent” system.  Only then can we study and understand the interactions among your and other components.  We will therefore integrate your mechanism into one of the three example platforms\, one platform for each example behavior.  Within this system\, the interactions with other components are revealed and we can observe your component’s functionality within their context. \nThis presentation will trigger a SCIoI-wide\, gradual process of building the three example behaviors.  The goals of the presentation are: \n\nto briefly talk about non-decomposability\nto discuss how example behaviors fundamentally contribute to SCIoI\nto introduce the three example platforms (mobile manipulator for behavior 1\, humanoid robots for behavior 2\, and swarm robots for behavior 3)\, including sensors\, actuators\, possible interfaces and uses\nto provide you with initial information that should enable you to start thinking about the integration of your contribution into the platform(s)\nto answer your questions to plan next steps(Photo by Brett Jordan on Unsplash)
URL:https://www.scienceofintelligence.de/event/zoom-lecture-oliver-brock-verena-hafner-pawel-romanczuk-the-role-of-example-behaviors-in-science-of-intelligence-and-for-your-project/
LOCATION:On ZOOM (Contact us for Link)
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2020/04/brett-jordan-GQCYOS_MH0w-unsplash-scaled-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200423T160000
DTEND;TZID=Europe/Berlin:20200423T173000
DTSTAMP:20260403T214443
CREATED:20200421T173905Z
LAST-MODIFIED:20250604T100605Z
UID:7821-1587657600-1587663000@www.scienceofintelligence.de
SUMMARY:Martin Rolfs (SCIoI): The Impact of Visual Actions on Human Vision
DESCRIPTION:PI Lecture on Zoom \nThe impact of visual actions on human vision\nMore than 10\,000 times every waking hour\, we use rapid movements of our eyes\, head and body to reorient our gaze. These visual actions allow us to see every aspect of the visual world at the highest resolution. It seems likely — in particular within SCIoI — that we can only begin to understand perception and cognition if we study their fundamental mechanisms in active observers. Yet psychology and neuroscience have long studied vision and motor control largely independently\, presenting two success stories: Vision has been the work horse of perception research for more than a century and the brain circuits controlling gaze movements are now among the best understood in systems neuroscience.\nIt is at the intersection of these two systems\, however\, that we encounter the most intriguing questions. How do we not experience the brisk motion of the entire scene on the retina every time the eyes move? How does the visual system keep track of objects’ changing retinal locations across consecutive glances. And how do we routinely attribute retinal motion to our own movements rather than to motion in the world. To explain these phenomena\, research and theories across disciplines have focused on how the brain uses its knowledge about ongoing movement plans to predict and compensate for undesirable side effects of visual actions. I will present a number of findings from psychophysical studies that\, more often than not\, give more surprising answers and that raise new questions about the tight weaving of perception and action.\n\n 
URL:https://www.scienceofintelligence.de/event/pi-lecture-on-zoom-martin-rolfs-scioi-the-impact-of-visual-actions-on-human-vision/
LOCATION:On ZOOM (Contact us for Link)
CATEGORIES:PI Lecture
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200423T100000
DTEND;TZID=Europe/Berlin:20200423T110000
DTSTAMP:20260403T214443
CREATED:20200330T100916Z
LAST-MODIFIED:20200330T100916Z
UID:7583-1587636000-1587639600@www.scienceofintelligence.de
SUMMARY:Zoom Lecture: Fatma Deniz (UC Berkeley & TU Berlin): Natural Language Representations in the Human Brain
DESCRIPTION:Thursday Morning Lectures (on Zoom)  \nNatural Language Representations in the Human Brain \n  \nAbstract \nAn integral part of human language is the capacity to extract the meaning of words through different sensory modalities. For example\, humans can easily comprehend the meaning of language presented through auditory speech or written text. However\, how the human brain represents language in different modalities is still unclear. I suggest to observe the human brain performing tasks in its most natural setting\, then build predictive models of brain responses\, and create generalizable and reproducible results that aim to help in unifying our understanding of how the human brain processes linguistic information. In my talk\, I will present predictive models of brain responses collected using functional magnetic resonance imaging while human participants listened to or read natural narrative stories. Using natural text and vector representations derived from natural language processing methods I will first present a modeling framework to study language processing in the human brain across modalities. I will then discuss how contextual effects modulate the representation of word meaning in the human brain. I will end my talk with research directions on how different languages are represented in the brains of bilinguals and how we could use the knowledge learned from the brain to augment the design of natural language processing algorithms. \nBio:\nFatma Deniz is the team leader and co-PI of a US-German collaborative research project and holds joint affiliations between Technical University Berlin and University of California\, Berkeley. Prior to that\, she was a postdoctoral fellow in Dr. Jack Gallant’s laboratory at UC Berkeley\, a Moore-Sloan Data Science Fellow at Berkeley Institute for Data Science and a fellow at the International Computer Science Institute in Berkeley. In her work\, Dr. Deniz uses machine-learning approaches and large-scale brain data to understand how language is represented in the brain. Dr. Deniz received her Ph.D. from the Computer Science Department at Technical University Berlin and was a member of Haynes Neuroimaging Lab led by Dr. John-Dylan Haynes at BCCN Berlin. She received her bachelor’s and master’s degrees in Computer Science from the Technical University Munich and worked with Dr. Christof Koch at Caltech. Dr. Deniz is an advocate of reproducible research practices and is an editor of the book “The Practice of Reproducible Research”. \n\nPhoto by Robina Weermeijer on Unsplash
URL:https://www.scienceofintelligence.de/event/zoom-lecture-fatma-deniz-uc-berkeley-tu-berlin-natural-language-representations-in-the-human-brain/
LOCATION:On ZOOM (Contact us for Link)
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200416T100000
DTEND;TZID=Europe/Berlin:20200416T110000
DTSTAMP:20260403T214443
CREATED:20200406T064706Z
LAST-MODIFIED:20250604T100715Z
UID:7658-1587031200-1587034800@www.scienceofintelligence.de
SUMMARY:Zoom Talk: Ralf Kurvers (MPI): How To Sway Voters
DESCRIPTION:Thursday morning talk\n \nHow to sway voters \nAcross the world\, politicians challenging the established elite are rising. Presenting contrarian views with high confidence\, these politicians challenge the status quo\, calling for a radically different course of action\, often going against scientific evidence. Systematic investigations of the success of such ‘contrarian’ strategies are\, however\, absent. Though the process of advice taking is well-studied\, the equally-important process of advice-giving has received much less attention. We present a systematic investigation of the success of the ‘contrarian’ in attracting the attention of decision-makers. Using game-theoretical modeling\, we find that a contrarian strategy is a Nash equilibrium. Next\, we tested whether this contrarian strategy is successful in drawing the attention of decision-makers across seven experiments testing over 800 participants. We found that\, across all experiments\, participants are more likely to follow the ‘contrarian’ than an advisor who honestly communicates the available evidence. This was found for participants who made decisions by themselves\, in anonymous groups in which decisions were pooled using a majority vote\, as well as in communicating groups. The success of the contrarian increased the more unpredictable the environment was. Our results show that actively going against the evidence is a powerful strategy to attract followers\, and this explains the recent (and historical) success of such contrarian leaders. Especially in highly uncertain situations\, as for example the recent Corona outbreak\, such strategies are successful.
URL:https://www.scienceofintelligence.de/event/ralf-kuvers-how-to-sway-voters/
LOCATION:On ZOOM (Contact us for Link)
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200402T100000
DTEND;TZID=Europe/Berlin:20200402T110000
DTSTAMP:20260403T214443
CREATED:20200330T102046Z
LAST-MODIFIED:20250604T100726Z
UID:7588-1585821600-1585825200@www.scienceofintelligence.de
SUMMARY:Zoom Talk: Dimitri Coelho Mollo (SCIoI): Introducing the Seminar “Philosophy of Artificial Intelligence”
DESCRIPTION:Thursday Morning Talk \nSCIoI postdoctoral researcher Dimitri Coelho Mollo will be giving us a sneak peak of his upcoming seminar for the SS2020 “Philosophy of Artificial Intelligence” and present his current work on the project “Concept of Intelligence” (PIs: Michael Pauen\, Miriam Kyselo\, John-Dylan Haynes).
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-on-zoom-dimitri-coelho-mollo-scioi-introducing-the-seminar-philosophy-of-artificial-intelligence/
LOCATION:On ZOOM (Contact us for Link)
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200319T100000
DTEND;TZID=Europe/Berlin:20200319T110000
DTSTAMP:20260403T214443
CREATED:20200309T111219Z
LAST-MODIFIED:20250604T100735Z
UID:7254-1584612000-1584615600@www.scienceofintelligence.de
SUMMARY:Marianne Maertens & Martin Rolfs (SCIoI): Paradigm Shift in Vision Science and Maybe Other Disciplines?
DESCRIPTION:Abstract:\nImplicit or explicit assumptions which used to guide our empirical study of visual perception have started to be called into question. We would like to share this observation with other people\, hear about similar or different developments in other fields\, and discuss its consequences.
URL:https://www.scienceofintelligence.de/event/marianne-maertens-martin-rolfs-paradigm-shift-in-vision-science-and-maybe-other-disciplines/
LOCATION:SCIoI\, MAR Building\, Marchstr. 23\, Berlin
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200305T100000
DTEND;TZID=Europe/Berlin:20200305T110000
DTSTAMP:20260403T214443
CREATED:20200225T220314Z
LAST-MODIFIED:20250604T100744Z
UID:7210-1583402400-1583406000@www.scienceofintelligence.de
SUMMARY:Pia Bideau and Raphael Deimel: Boost Your Experiments!
DESCRIPTION:“Boost your experiments!” \nThe ScioI cluster provides for several post-doc level research positions for improving scientific integration across disciplines\, as well as for\nadvancing the level of sophistication in experiments we can conduct in the ScioI Labs. Currently\, there are two “support” post-docs\, Pia Bideau and Raphael Deimel. Pia is an expert in motion-based image segmentation and rooted in Computer Vision\, whereas Raphael is rooted in Robotics and has recently worked on models of mechanical behavior and human-robot interaction. In this talk\, both will give an overview on their respective skills and prior work with the primary aim to inform fellow researchers on systems and hardware available to implement unique experiments in current and future projects.
URL:https://www.scienceofintelligence.de/event/pia-bideau-and-raphael-deimel-boost-your-experiments/
LOCATION:SCIoI\, MAR Building\, Marchstr. 23\, Berlin
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200227T100000
DTEND;TZID=Europe/Berlin:20200227T110000
DTSTAMP:20260403T214443
CREATED:20200210T114815Z
LAST-MODIFIED:20250604T100756Z
UID:7037-1582797600-1582801200@www.scienceofintelligence.de
SUMMARY:Prof. Katja Liebal (FU Berlin): Understanding the Human Mind: The Value of a Comparative Perspective
DESCRIPTION:Abstract:  Are humans unique? If so\, which cognitive and communication skills characterize human beings? Are these characteristics universal\, or do they vary depending on the individual’s social\, ecological\, and cultural background? While it may sound plausible that answering these questions requires the comparison of different cultural groups to learn about the universals and variability of human behavior\, it seems much less convincing that we can also benefit from studying other species\, especially when our interest centers on the psychology of the human being. However\, I argue that\, when aiming to understand human psychology\, we benefit from a frame of reference against which to assess it. The comparison with the psychology of other animals\, and nonhuman primates in particular\, can provide such a frame of reference and thereby contribute to the extraction of the definitive characteristics of the human species. \n  \nBio:  Katja Liebal is a comparative psychologist with a background in biology. After finishing her PhD on social communication of great apes at the Max Planck Institute for Evolutionary Anthropology in Leipzig\, she has worked as lecturer at the Department of Psychology at the University of Portsmouth\, UK\, and as Assistant Professor for Evolutionary Psychology at the Cluster Languages of Emotion at Universität Berlin. Currently\, she works as Professor for Comparative Developmental Psychology at the Psychology department at Freie Universität Berlin. Her main research interests center on the multimodal communication of nonhuman primates and human children and the developmental trajectories of their corresponding socio-cognitive and communicative skills. Furthermore\, she is interested in the prosocial behavior of great apes and children from diverse cultural backgrounds. She uses observational and experimental methods and combines cross-species\, cross-cultural approaches to study different species of great apes and human children from different cultural contexts.
URL:https://www.scienceofintelligence.de/event/prof-katja-liebal-fu-berlin-understanding-the-human-mind-the-value-of-a-comparative-perspective/
LOCATION:SCIoI\, MAR Building\, Marchstr. 23\, Berlin
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200220T100000
DTEND;TZID=Europe/Berlin:20200220T110000
DTSTAMP:20260403T214443
CREATED:20200124T140641Z
LAST-MODIFIED:20250604T100806Z
UID:6566-1582192800-1582196400@www.scienceofintelligence.de
SUMMARY:Pascal Klink (TU Darmstadt): Self-Paced Reinforcement Learning
DESCRIPTION:Thursday Morning Lectures\nAbstract:\nGeneralization and adaptation of learned skills to novel situations is a core requirement for intelligent autonomous robots. Although contextual reinforcement learning provides a principled framework for learning and generalization of behaviors across related tasks\, it generally relies on uninformed sampling of environments from an unknown\, uncontrolled context distribution\, thus missing the benefits of structured\, sequential learning. We introduce a novel relative entropy reinforcement learning algorithm that gives the agent the freedom to control the intermediate task distribution\, allowing for its gradual progression towards the target context distribution. Empirical evaluation shows that the proposed curriculum learning scheme drastically improves sample efficiency and enables learning in scenarios with both broad and sharp target context distributions in which classical approaches perform sub-optimally.\n \nBio:\nPascal is a Ph.D. student at the Intelligent Autonomous Systems (IAS) Group at TU Darmstadt. At IAS\, he works for the ROBOLEAP project\, where he develops methods for reinforcement learning in unstructured\, partially observable real world environments. Before starting his PhD\, Pascal completed his Bachelor’s degree in Computer Science and Master’s degree in Autonomous Systems at the TU Darmstadt. Within his Master’s thesis he worked on “Generalization and Transferability in Reinforcement Learning” and was supervised by Hany Abdulsamad\, Boris Belousov and Jan Peters
URL:https://www.scienceofintelligence.de/event/pascal-klink-tu-darmstadt-self-paced-reinforcement-learning/
LOCATION:MAR23 4.064\, Marchstraße 23\, Berlin\, 10587\, Germany
CATEGORIES:PI Lecture
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200219T173000
DTEND;TZID=Europe/Berlin:20200219T190000
DTSTAMP:20260403T214443
CREATED:20200122T164401Z
LAST-MODIFIED:20250604T100816Z
UID:6539-1582133400-1582138800@www.scienceofintelligence.de
SUMMARY:“The Ethics of AI-Chemy – When Science Meets Hype” – Keynote Lecture by Prof. Dr. Oliver Brock
DESCRIPTION:Winter School Keynote Lecture: Oliver Brock (Cluster Science of Intelligence\, TU Berlin)\nCluster Speaker Prof. Dr. Oliver Brock will deliver the keynote lecture at this year’s Winter School Ethics and Neuroscience. \n\nThe 9th Winter School “Ethics and Neuroscience is organized by the BCCN Berlin/ICCN and the Berlin School of Mind and Brain. \nThe event is tailored for MSc and PhD students\, but covers a range of topics of potential interest to other researchers\, reflecting \non the ethical and societal consequences of modern neuroscience. \n\nTheoretical foundations\, as well as practical and ethical aspects are addressed. Participants will benefit from a combination of lectures with \ngroup work and discussions\, where they will put the learned content into practice. \nRead more here \n  \n  \n  \nVenue:Humboldt-Universität zu Berlin\nInstitut für Biologie\, Campus Nord\, House 2\, Lecture Hall 1\nEntry to Campus from: Luisenstraße 56\, 10117 Berlin\nEntry to Campus from: Philippstraße 12/13a\, 10115 Berlin \nContact: Dr. Dirk Mende\, Berlin School of Mind and Brain\n030 / 2093-89768
URL:https://www.scienceofintelligence.de/event/the-ethics-of-ai-chemy-when-science-meets-hype-keynote-lecture-by-prof-dr-oliver-brock/
LOCATION:HU Berlin – Institut für Biologie\, Phillipstraße 12/13a\, Berlin\, Berlin\, 10115\, Germany
CATEGORIES:PI Lecture
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200218T090000
DTEND;TZID=Europe/Berlin:20200218T173000
DTSTAMP:20260403T214443
CREATED:20200130T133555Z
LAST-MODIFIED:20200130T133555Z
UID:6729-1582016400-1582047000@www.scienceofintelligence.de
SUMMARY:Career Day for Doctoral Candidates 2020 - Berlin University Alliance
DESCRIPTION:  \n \n  \nCareer Day for Doctoral Researchers 2020\, Bildquelle: Carolina Valsecchi Gillmeister\nOn February 18\, 2020 the Humboldt-Universität zu Berlin will host the next career day for doctoral candidates.\nThe event is organized by doctoral researchers from Humboldt-Universität\, Freie Universität and Charité-Universitätsmedizin Berlin and supported by \nthe members of the Berlin University Alliance and HEIBRiDS\, the Helmholtz Einstein International Berlin Research School in Data Science. In a mix of \npresentations and World Cafés speakers from varied sectors and walks of life will give insights in their careers and answer questions of the participants. \nClick here for more info and registration. \n 
URL:https://www.scienceofintelligence.de/event/career-day-for-doctoral-candidates-2020-berlin-university-alliance/
LOCATION:Humboldt Universität\, Luisenstr. 56\, 10117 Berlin
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200213T160000
DTEND;TZID=Europe/Berlin:20200213T173000
DTSTAMP:20260403T214443
CREATED:20200129T150658Z
LAST-MODIFIED:20250604T100827Z
UID:6694-1581609600-1581615000@www.scienceofintelligence.de
SUMMARY:Henry Shevlin\, Leverhulme Centre for the Future of Intelligence: General Intelligence: An Ecumenical Heuristic for Artificial Consciousness Research?
DESCRIPTION:Henry Shevlin is a research associate at the Leverhulme Centre for the Future of Intelligence (Cambridge).\nHe did his PhD at CUNY Graduate Center in New York with a thesis on “Consciousness\, Perception and Short-Term Memory”. \nLink to CV here \nABSTRACT: \nThe science of consciousness has made great strides in recent decades\, both in the development of theoretical frameworks and in the refinement of our experimental and clinical tools for the assessment of consciousness in humans. However\, the proliferation of competing theories makes it harder to reach consensus about artificial consciousness. While for purely scientific purposes we might wish to adopt a ‘wait and see’ attitude\, we may soon face practical and ethical questions about whether\, for example\, an artificial agent is capable of suffering. Moreover\, many of the methods used for assessing consciousness in humans and even non-human animals are not straightforwardly applicable to artificial systems. With these challenges in mind\, I propose that we adopt an ecumenical heuristic for artificial consciousness so that we can make tentative assessments of the likelihood of consciousness arising in different artificial systems. I argue that such a heuristic should have three main features: it should be intuitively plausible\, theoretically neutral\, and scientifically tractable. I claim that the concept of general intelligence – understood as a capacity for robust\, flexible\, and integrated cognition and behaviour – satisfies these criteria and may thus provide the basis for such a heuristic\, allowing us to make initial cautious estimations of which artificial systems are most likely to be conscious. \nLecture hosted by: Miriam Kyselo
URL:https://www.scienceofintelligence.de/event/henry-shevlin-leverhulme-centre-for-the-future-of-intelligence/
LOCATION:MAR23 4.064\, Marchstraße 23\, Berlin\, 10587\, Germany
CATEGORIES:PI Lecture
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200206T160000
DTEND;TZID=Europe/Berlin:20200206T173000
DTSTAMP:20260403T214443
CREATED:20200202T165607Z
LAST-MODIFIED:20250604T100838Z
UID:6750-1581004800-1581010200@www.scienceofintelligence.de
SUMMARY:John-Dylan Haynes (SCIoI): “What Can Neuroimaging Tell Us About Human Intelligence?”
DESCRIPTION:The concept of intelligence in cognitive science has been highly elusive. One pragmatic approach to understanding intelligence is to use classical intelligence tests\, such as the Wechsler Adult Intelligence Scale (WAIS). In such tests\, performance is assessed in a number of specific subtask items\, and the performance across these items is then integrated to an overall (or “full scale”) IQ. Neuroimaging has contributed to both the single-item and the full-scale performance. At the item level\, several studies have looked at resource and efficiency models. At the full-scale level studies have looked at overall brain structure\, as well as the importance of various subregions of the brain. Furthermore\, various architectural principles can be considered. Overall\, this line of research contributes to the understanding of intelligent cognition in a specific biological substrate\, the healthy human brain. \nProf. John-Dylan Haynes \nCharité – Universitätsmedizin Berlin\, HU Berlin\, Psychology \n\n\n 
URL:https://www.scienceofintelligence.de/event/pi-lecture-series-john-dylan-haynes-what-can-neuroimaging-tell-us-about-human-intelligence/
LOCATION:MAR23 4.064\, Marchstraße 23\, Berlin\, 10587\, Germany
CATEGORIES:PI Lecture
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200123T160000
DTEND;TZID=Europe/Berlin:20200123T173000
DTSTAMP:20260403T214443
CREATED:20200120T102551Z
LAST-MODIFIED:20250604T102703Z
UID:6524-1579795200-1579800600@www.scienceofintelligence.de
SUMMARY:Alex Kacelnik (University of Oxford): What Are Minds for\, and How Do They Work?
DESCRIPTION:PI Lecture Series\nAbstract: \nThe biological perspective on intelligence is well represented by the following quotes: “Is it not reasonable to anticipate that our understanding \nof the human mind would be aided greatly by knowing the purpose for which it was designed?” (George Williams) and “Everybody is a genius. \nBut if you judge a fish by its ability to climb trees\, it will live its whole life believing that it is stupid” (Albert Einstein). \nMeanwhile\, those working on synthetic approaches to intelligence are often inspired by Richard Feynman’s claim that “What I cannot create\, I do not understand”. \nThese quotes embody useful and inspiring questions for research on intelligence: why does it evolve\, how specific is it\, and to what extent can theoretical models \nthat we create behave intelligently. I will describe studies of animal intelligent behaviour and our attempts to understand it. \n  \nAlex Kacelnik FRS is a behavioural ecologist that works on animal behaviour and its underlying psychological mechanisms. \nHis research includes studies of decision making\, learning and memory in birds\, mammals\, insects and other animals. \nIn SCioI he collaborates with Oliver Brock and Alice Auersperg in research on intelligence in cockatoos and its emulation in artificial systems. \nHe is also is a member and promotor of the Oxford-Berlin partnership.
URL:https://www.scienceofintelligence.de/event/pi-lecture-series-alex-kacelnik-university-of-oxford/
LOCATION:MAR23 4.064\, Marchstraße 23\, Berlin\, 10587\, Germany
CATEGORIES:PI Lecture
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200118T200000
DTEND;TZID=Europe/Berlin:20200118T210000
DTSTAMP:20260403T214443
CREATED:20200108T104900Z
LAST-MODIFIED:20200108T104900Z
UID:6510-1579377600-1579381200@www.scienceofintelligence.de
SUMMARY:Salon Sophie Charlotte 2020 - Talk with Miriam Kyselo: Wie kommt die Welt in meinem Kopf? (in German)
DESCRIPTION:SCIoI faculty member Miriam Kyselo and philosopher Joerg Fingerhut (Einstein Group „Consciousness\, Emotions\, Values“) take part in a discussion chaired by Andreas Sentker (the ZEIT-Wissen chief editor) about the role of the brain and the body\, but also of cultural artifacts\, in the creation of the world. The talk (in German) is part of the Salon Sophie Charlotte 2020 (https://salon.bbaw.de/home/programm/raum-327/)
URL:https://www.scienceofintelligence.de/event/salon-sophie-charlotte-2020-talk-wie-kommt-die-welt-in-meinem-kopf/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200117T193000
DTEND;TZID=Europe/Berlin:20200117T203000
DTSTAMP:20260403T214443
CREATED:20200102T110049Z
LAST-MODIFIED:20240813T105942Z
UID:6473-1579289400-1579293000@www.scienceofintelligence.de
SUMMARY:Wissenschaft im Sauriersaal - Lecture by Prof. Jens Krause (SCIoI) (in German)
DESCRIPTION:On SCIoI faculty member Professor Jens Krause will open this year’s lecture series with a talk on swarm intelligence:\n \n“Ob Mensch oder Tier: Warum der Schwarm intelligenter ist als der Einzelne”.\nThe lecture is in German. \nLink to event page here \nPhoto by: Rodrigo Friscione Wyssmann
URL:https://www.scienceofintelligence.de/event/wissenschaft-im-sauriersaal-lecture-by-prof-jens-krause-in-german/
LOCATION:Naturkundemuseum
CATEGORIES:PI Lecture
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2020/01/Krause_Sauriersaal_single.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200114T083000
DTEND;TZID=Europe/Berlin:20200115T183000
DTSTAMP:20260403T214443
CREATED:20200103T105023Z
LAST-MODIFIED:20200103T105023Z
UID:6487-1578990600-1579113000@www.scienceofintelligence.de
SUMMARY:Admissions 2020
DESCRIPTION:Symposium and Interviews for prospective (post)doctoral researchers.
URL:https://www.scienceofintelligence.de/event/admissions-2020/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200109T160000
DTEND;TZID=Europe/Berlin:20200109T173000
DTSTAMP:20260403T214443
CREATED:20200106T151722Z
LAST-MODIFIED:20240813T105953Z
UID:6500-1578585600-1578591000@www.scienceofintelligence.de
SUMMARY:Guillermo Gallego (SCIoI):  "Spatial AI and Event-based Vision"
DESCRIPTION:PI Lecture Series –  “Spatial AI and Event-based Vision”\nProf. Dr. Guillermo Gallego \nRobotic Interactive Perception Group\, TU Berlin
URL:https://www.scienceofintelligence.de/event/pi-lecture-series-guillermo-gallego/
LOCATION:FH 315\, Fraunhoferstraße 33-36\, Berlin\, 10587
CATEGORIES:PI Lecture
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200109T100000
DTEND;TZID=Europe/Berlin:20200109T110000
DTSTAMP:20260403T214443
CREATED:20200106T112729Z
LAST-MODIFIED:20200106T112729Z
UID:6493-1578564000-1578567600@www.scienceofintelligence.de
SUMMARY:Internal Models and Predictive Coding from a Robotics and Cognitive Science Perspective: Prof. Bruno Lara and Dr. Alejandra Ciria
DESCRIPTION:Prof. Bruno Lara (Cognitive Robotics\, UAEM\, Mexico) and Dr. Alejandra Ciria (Cognitive Psychology\, UNAM\, Mexico) will give a presentation on their research on internal models and predictive coding from a Robotics and Cognitive Science perspective. They are currently visiting researchers at the Adaptive Systems Group at HU Berlin with an Alexander-von-Humboldt Fellowship.\nAbstract: \nA cognitive system can be conceived as one which fulfills its goals anticipating the causes of its sensations by containing a predictive model of itself and its environment to select and guide action. During the last years\, our research has focused on the issues of Internal Models\, anticipation and multimodal representations within this framework. We have developed a number of systems that successfully make use of these concepts in the production of coherent behavior. Now\, our main research interest is the study of predictions and how these can be learned by an agent taking into account the specific dynamics of its internal states. Special interest lays in the impact these dynamics bring into the learning capabilities and the interactions with the world of an agent. How does an artificial agent decide what is the relevant information to learn during its interactions with the world? Predicting future states accurately while seeking unanticipated novel states are competing pressures within an agent. We believe that these competing pressures should be resolved by tracking the prediction error dynamics of its internal states. An artificial agent endowed with this mechanism should be able to decide and plan its future actions in accordance with the proper type of novelty given its current knowledge and capabilities. Therefore\, an artificial agent should be intrinsically motivated to select actions given its epistemic value providing the capability of open-ended learning. \nBruno Lara is a Professor at the Universidad Autónoma del Estado de Morelos (UAEM) and the Head of the Cognitive Robotics Lab at the Science Research Center at the UAEM since 2005. He holds a PhD in Mechatronics from King’s\nCollege London. He did a postdoc in the TheoriLabor in the University of Jena\, working on evolutionary robotics\, and then a postdoc at the Max Planck Institute for Psychology Research in Munich\, focusing on research on Cognitive\nRobotics. In 2011\, he spent a sabbatical stay in the Cognitive Robotics Lab at the Humboldt- Universitat zu Berlin. He is an Alexander von Humboldt Fellow.\nHis research interests include internal models\, prediction\, sensorimotor representations\, and evolutionary robotics. \nAlejandra Ciria is a postdoctoral researcher at the Humboldt-Universität zu Berlin\, Department of Computer Science in the Adaptive Systems Group\, Germany\, Berlin (Alexander von Humboldt Foundation\, Special Alumni Sponsorship\, 2019).\nShe obtained a Master’s Degree in Cognitive Sciences in 2013 at the UAEM\, Morelos\, México.\nShe then studied a Ph.D. in Experimental Psychology at the Faculty of Psychology\, UNAM\, México\, graduating in 2019.\nSince 2011\, she is an active member of the Cognitive Robotics Lab at the CInC-UAEM\, México.\nHer research focuses on computational modeling under the predictive processing framework\, as well as the study of prediction error dynamics as a self-regulating mechanism.\nAlejandra ́s research interests are centered in Psychophysics\, Experimental Psychology\, Cognitive Robotics\, and Cognitive Sciences.
URL:https://www.scienceofintelligence.de/event/internal-models-and-predictive-coding-from-a-robotics-and-cognitive-science-perspective-prof-bruno-lara-and-dr-alejandra-ciria/
LOCATION:MAR23 5.006\, Marchstraße 23\, Berlin\, 10587\, Germany
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20191219T100000
DTEND;TZID=Europe/Berlin:20191219T110000
DTSTAMP:20260403T214443
CREATED:20191217T065104Z
LAST-MODIFIED:20240813T110002Z
UID:6471-1576749600-1576753200@www.scienceofintelligence.de
SUMMARY:Adaptive Learning and Intelligent Tutor Systems: Rebecca Lazarides\, Niels Pinkwart\, Verena Hafner (SCIoI)
DESCRIPTION:Thursday Morning Lectures\nAbstract: In educational psychology\, the benefits and limitations of adaptive learning processes are currently under debate. In computer science\, Intelligent Tutor Systems (ITS) exist that are adaptive to learners’ level of skills and knowledge\, but it is an open research question how novel user modelling approaches and feedback strategies in ITS incorporating virtual agents can enhance positive emotions and motivation and reduce negative emotions in learning situations. This talk will provide an overview of current research questions in educational psychology about adaptive learning and new developments in the field of intelligent tutor systems.
URL:https://www.scienceofintelligence.de/event/adaptive-learning-and-intelligent-tutor-systems-rebecca-lazarides-niels-pinkwart-verena-hafner/
LOCATION:MAR23 5.006\, Marchstraße 23\, Berlin\, 10587\, Germany
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20191212T160000
DTEND;TZID=Europe/Berlin:20191212T173000
DTSTAMP:20260403T214443
CREATED:20191121T165231Z
LAST-MODIFIED:20191121T165231Z
UID:6331-1576166400-1576171800@www.scienceofintelligence.de
SUMMARY:Distinguished Lecture Series: William H. Warren (Brown University)
DESCRIPTION:Distinguished Lecture Series\nOn 12 December 2019\, Professor William H. Warren (Brown University) will kick off the SCIoI Distinguished Lecture Series. \nWilliam Warren earned his undergraduate degree at Hampshire College (1976)\, his Ph.D. in Experimental Psychology from\nthe University of Connecticut (1982)\, did post-doctoral work at the University of Edinburgh\, and has been a professor at Brown ever since. \nMy research focuses on the visual control of action – in particular\, human locomotion and navigation.\nOn the one hand\, I want to understand how motor behavior such as gait and other rhythmic movements are dynamically organized.\nOn the other\, I seek to explain how such behavior is adaptively regulated by visual information in complex environments.\nUsing virtual reality techniques\, my research team investigates problems such as the visual control of steering\, obstacle avoidance\,\npedestrian interactions\, and collective crowd behavior.
URL:https://www.scienceofintelligence.de/event/distinguished-lecture-series-william-h-warren-brown-university/
LOCATION:MAR23 4.064\, Marchstraße 23\, Berlin\, 10587\, Germany
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20191212T100000
DTEND;TZID=Europe/Berlin:20191212T110000
DTSTAMP:20260403T214443
CREATED:20191210T111058Z
LAST-MODIFIED:20250604T102751Z
UID:6453-1576144800-1576148400@www.scienceofintelligence.de
SUMMARY:Ingo Schulz-Schaeffer: Models As Epistemic Tools
DESCRIPTION:Thursday Morning Lectures
URL:https://www.scienceofintelligence.de/event/ingo-schulz-schaeffer-models-as-epistemic-tools/
LOCATION:MAR23 5.006\, Marchstraße 23\, Berlin\, 10587\, Germany
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20191205T160000
DTEND;TZID=Europe/Berlin:20191205T173000
DTSTAMP:20260403T214443
CREATED:20191127T090350Z
LAST-MODIFIED:20250604T102812Z
UID:6362-1575561600-1575567000@www.scienceofintelligence.de
SUMMARY:Marianne Maertens (SCIoI): “How We Perceive Surfaces”
DESCRIPTION:PI Lecture Series\nMarianne Maertens: “How we perceive surfaces”
URL:https://www.scienceofintelligence.de/event/pi-lecture-series-marianne-maertens/
LOCATION:FH 315\, Fraunhoferstraße 33-36\, Berlin\, 10587
CATEGORIES:PI Lecture
END:VEVENT
END:VCALENDAR