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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20201029T110000
DTEND;TZID=Europe/Berlin:20201029T123000
DTSTAMP:20260403T201617
CREATED:20200824T125720Z
LAST-MODIFIED:20250604T095856Z
UID:8547-1603969200-1603974600@www.scienceofintelligence.de
SUMMARY:Giovanni Pezzulo\, ISTC-CNR Rome (Host: Verena Hafner): Human Sensorimotor Communication During Human Joint Action: Experimental and Computational Perspectives
DESCRIPTION:Giovanni Pezzulo is a researcher at the Institute of Cognitive Sciences and Technologies\, National Research Council in Rome\, Italy. His research centers on the neuronal and computational mechanisms of predictive processing\, goal-directed behaviour\, and the sensorimotor foundations of higher cognition. \nHuman sensorimotor communication during human joint action: experimental and computational perspectives \nDuring online social interactions\, humans engage in various forms of non-linguistic communication. I will discuss recent research in my lab and others about sensorimotor communication (SCM): the study of the subtle communicative signals embedded within our everyday pragmatic actions. SMC is ubiquitous during realistic social interactions. For example\, soccer players often carve their body movements in ways that are informative for their teammates or deceptive for their adversaries. Furthermore\, we have many ways to perform the same goal-directed action – say\, offer a glass of wine – and small kinematic differences can make the same action rude\, polite or snobbish\, thus potentially unveiling our hidden intentions. I will present some human-human experiments on SMC and discuss them in the context of a theoretical and computational model that we have been developing\, and which considers both the costs and benefits of SMC (e.g.\, in terms of increased interaction success). More broadly\, I will discuss our current understanding of the computational (and\, in part\, neural) mechanisms underlying social interaction at large\, including e.g.\, action observation\, prediction and planning mechanisms. \n— \nRe background material: \nFor a good introduction https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0079876Photo by Uriel SC on Unsplash \nThe Zoom Link will be sent the day before the lecture. (Contact communication@scioi.de for specific questions)
URL:https://www.scienceofintelligence.de/event/distinguished-speaker-series-giovanni-pezzulo-hosted-by-verena-hafner/
CATEGORIES:Distinguished Speaker Series
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20201022T160000
DTEND;TZID=Europe/Berlin:20201022T173000
DTSTAMP:20260403T201617
CREATED:20200824T124927Z
LAST-MODIFIED:20250604T100024Z
UID:8544-1603382400-1603387800@www.scienceofintelligence.de
SUMMARY:Guy Theraulaz\, (CNRS\, Toulouse\, France. Host: Pawel Romanczuk): Ethological Analysis and Computational Modeling of Social Interactions in Schooling Fish
DESCRIPTION:Abstract: Swarms of insects\, schools of fish and flocks of birds display an impressive variety of collective movement patterns that emerge from interactions among group members. These puzzling phenomena raise a variety of questions about the interaction rules that govern the coordination of individuals’ motion and the emergence of large-scale patterns. While numerous models have been proposed\, there is still a strong need for detailed experimental studies to foster the biological understanding of such collective motion phenomena. I will first describe the methods that we have developed in the recent years to characterize social interactions between individuals involved in the coordination of swimming in Rummy-nose tetra (Hemigrammus rhodostomus) from data gathered at the individual scale. This species of tropical fish performs burst-and-coast swimming behavior that consists of sudden heading changes combined with brief accelerations followed by quasi-passive\, straight decelerations. Our results show that both attraction and alignment behaviors control the reaction of fish to a neighbor. Then I will present how these results can be used to build a model of spontaneous burst-and-coast swimming and social interactions of fish\, with all parameters being estimated or directly measured from experiments. This model shows that the simple addition of the pairwise interactions with two neighbors quantitatively reproduces the collective behavior observed in groups of five fish. Increasing the number of interacting neighbors does not significantly improve the simulation results. Remarkably\, we find that groups remain cohesive and polarized even when each agent only interacts with only one of its neighbors: the one that has the strongest contribution to the heading variation of the focal agent. Finally\, I will present a swarm robotic platform with which we investigate the impact of collision avoidance based on speed control on the group behavior. This platform combines the implementation of the fish behavioral model and an engineering-minded control system to deal with real-world physical constraints. Remarkably\, and as already observed in the model simulations\, even when robots only interact with their most influential neighbor\, our results show that the group remains highly cohesive and polarized while reproducing the behavioral patterns observed in groups of fish in experimental conditions. Overall\, our results suggest that fish have to acquire only a minimal amount of information about their environment to coordinate their movements when swimming in groups.\n  \nShort bio: Guy Theraulaz is a senior research fellow at the National Center for Scientific Research (CNRS) and an expert in the study of collective animal behaviors. He is also a researcher in the field of swarm intelligence\, primarily studying social insects but also distributed algorithms\, e.g. for collective robotics\, directly inspired by nature. His research focuses on the understanding of a broad spectrum of collective behaviors in animal societies by quantifying and then modeling the individual level behaviors and interactions\, thereby elucidating the mechanisms generating the emergent\, group-level properties. He has published many papers on nest construction in ant\, wasp and termite colonies\, collective decision-making in ants and cockroaches\, collective motion in fish schools and human crowds and collective estimation in human groups. He has also coauthored five books\, among which Swarm Intelligence: From Natural to Artificial Systems (Oxford University Press\, 1999) and Self-organization in biological systems (Princeton University Press\, 2001) that are now considered as reference textbooks. In 2019\, he has been appointed visiting chair professor in Collective Behavior\, at the Indian Institute of Science in Bangalore by the Infosys Foundation.\n  \nWebpage: http://crca.cbi-toulouse.fr/en/guytheraulaz/\n \nThe Zoom Link will be sent the day before the lecture. (Contact communication@scioi.de for specific questions)
URL:https://www.scienceofintelligence.de/event/distinguished-speaker-series-guy-theraulazhost-pawel-romanczuk/
CATEGORIES:Distinguished Speaker Series
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200910T100000
DTEND;TZID=Europe/Berlin:20200910T110000
DTSTAMP:20260403T201617
CREATED:20200827T080235Z
LAST-MODIFIED:20250604T100036Z
UID:8582-1599732000-1599735600@www.scienceofintelligence.de
SUMMARY:Thursday Morning Talk With Benjamin Wild: Social Networks Through Time – Individuality in a Colony of Honey Bees
DESCRIPTION:ABSTRACT:\nIn many social systems\, an individual’s role is reflected by its interactions with other members of the group. In many model organisms\, and particularly in social insects\, the patterns of actions and interactions among individuals are not static but constantly evolving over time. This can be due to the emergence or demise of certain individuals\, changing task allocation because of temporal polyethism and changes in the environment\, or many other reasons. Understanding such temporal patterns in complex social networks remains a challenging problem. In this talk\, I will present two recent approaches we have developed to extract meaningful and inherently interpretable embeddings of the social behavior of honey bees from temporal interaction matrices. The embeddings allow us to describe an individual’s role in the colony at any point during her life\, to detect clusters of social development of individuals\, to compare the structure of the networks at different times\, and to compare the role of individuals in the social structure in a meaningful way even when they were never alive at the same time. \n  \n(Photo by Nathaniel Sison on Unsplash) \n 
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-with-benjamin-wild/
LOCATION:On ZOOM (Contact us for Link)
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200903T100000
DTEND;TZID=Europe/Berlin:20200903T110000
DTSTAMP:20260403T201617
CREATED:20200827T075825Z
LAST-MODIFIED:20200827T075825Z
UID:8579-1599127200-1599130800@www.scienceofintelligence.de
SUMMARY:Thursday Morning Talk with  Rico Jonschkowski (Google Brain): Perception in Motion
DESCRIPTION:Title: Perception in Motion\nAbstract: This is a talk on perception in two parts. Part one exemplifies the “movement” of the field of learning-based robot perception. Here\, I will give one example for increasing structural assumptions and one for decreasing them based on our work on differentiable mapping and differentiable resampling. Part two takes the title more literally and investigates the role of motion for learning robotic perception. In that part\, I will talk about using motion as a cue for unsupervised learning of optical flow\, ego-motion estimation\, monocular depth estimation\, and object detection. \nBio: Rico Jonschkowski is a research scientist at Robotics at Google\, working on unsupervised learning for robot perception. His research vision is to identify structural invariances from the perspective of a learning agent in our world and to inject those invariances as priors into learning algorithms to make robot learning more efficient. Before joining Google in 2018\, Rico received his Dr. rer. nat. (German PhD equivalent) from Technische Universität Berlin and his MSc and BSc from Freie Universität Berlin. He was part of the RBO team that won the Amazon Picking Challenge 2015 and received the best systems paper award at Robotics: Science and Systems (RSS) in 2016. \n  \n(Photo by Franck V. on Unsplash)
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-with-rico-jonschkowski-google-brain-perception-in-motion/
LOCATION:On ZOOM (Contact us for Link)
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200811T090000
DTEND;TZID=Europe/Berlin:20200813T180000
DTSTAMP:20260403T201617
CREATED:20200701T115459Z
LAST-MODIFIED:20240725T100659Z
UID:8181-1597136400-1597341600@www.scienceofintelligence.de
SUMMARY:SCIoI Scientific Networking Days (internal event)
DESCRIPTION:The SCIoI Scientific Networking Days event is an internal retreat meant to establish scientific connections among the people and the projects in SCIoI. Through this event\, we want to emphasize the importance of establishing scientific connections among SCIoI researchers and promote in-depth scientific discussions and exchanges. \nDuring the retreat\, the SCIoI executive board will evaluate currently pending proposals in the SCIoI internal funding program as well as all ongoing SCIoI projects. The goal is to ensure the scientific quality of the projects and also to guarantee that the projects provide a suitable scientific backdrop for PhDs’ and Postdocs’ careers. \nDue to the Covid19-related restrictions\, this year all SCIoI members will be asked to hold their talks online. When preparing their presentations\, members should keep in mind the varied audience and the cluster’s multi-disciplinary component. In the evening of 11 August\, we are also planning a weather-dependent (and entirely optional) social event to be held in Tiergarten park. We will provide more information about this closer to the date. SCIoI Members should also check their calendars for more detailed daily schedules. \n 
URL:https://www.scienceofintelligence.de/event/scioi-scientific-networking-days/
LOCATION:Internal Event
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200716T100000
DTEND;TZID=Europe/Berlin:20200716T110000
DTSTAMP:20260403T201617
CREATED:20200426T180541Z
LAST-MODIFIED:20250604T100050Z
UID:7842-1594893600-1594897200@www.scienceofintelligence.de
SUMMARY:Work-in-Progress Talk: Dimitri Coelho Mollo (SCIoI) & Alfredo Vernazzani (Ruhr Universität Bochum): Saving Representational Formats: A Computational Theory
DESCRIPTION:Abstract \nMost cognitive sciences (including AI) appeal to representations in explaining (or trying to create) systems capable of cognition\, and especially of complex\, intelligent behaviour. In philosophy\, considerable attention has been dedicated to the problem of explaining in scientifically-acceptable ways how representations come to represent what they do. In contrast\, there has been much less effort dedicated to developing theories of representational formats\, i.e. those properties of representations traditionally conceived in terms of dichotomies that oppose the symbolic to the iconic\, the digital to analogue\, and so on. For the most part\, work on representational formats has focused on their distinctive phenomenological features; while philosophers have tended largely to remain vague about formats’ explanatory role in cognitive theories and their computational roles in the cognitive system. \nIn this talk\, we propose a new computation-based theory of representational formats that makes room for a plurality of distinguishable formats across a number of different dimensions — such as density\, continuity\, similarity\, etc. — thus avoiding partial or simplistic dichotomies\, and neatly individuating the nature and role of representational formats in explaining cognition and intelligent behavior. According to our proposal\, representational formats are to be understood primarily in terms of their abstract computational profiles\, that is\, the coarse-grained computational transformations that they allow. In cashing out this computation-based account of representational formats\, we rely on recent advances in understanding the nature of computation in physical systems brought forth by the teleomechanistic view of computation. \nThe Zoom Link will be sent the day before the lecture. (Contact communication@scioi.de for specific questions)
URL:https://www.scienceofintelligence.de/event/work-in-progress-talk-dimitri-coelho-mollo-scioi-alfredo-vernazzani-ruhr-universitat-bochum-saving-representational-formats-a-computational-theory/
LOCATION:On ZOOM (Contact us for Link)
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200709T100000
DTEND;TZID=Europe/Berlin:20200709T110000
DTSTAMP:20260403T201617
CREATED:20200706T111519Z
LAST-MODIFIED:20240813T091903Z
UID:8209-1594288800-1594292400@www.scienceofintelligence.de
SUMMARY:Thursday Morning Talk: Leon Sixt (Biorobotics Lab\, FU Berlin): Opportunities and Challenges in Interpetable ML
DESCRIPTION:Abstract: Deep neural networks underlie many state of the art solutions to hard problems in computer vision\, natural language processing or playing Go. Yet\, their power comes with a price. Deep networks transform inputs gradually into outputs\, using many parameters and intermediary activations. Understanding what a network has learned\, how inputs are mapped to outputs\, is inherently difficult. In my talk I will focus on attribution methods\, algorithms that provide an explanation as to which input variables were relevant for the network’s decision. I will present some of my recent work in this field by first showing how attribution methods may fail and then presenting a new method that is based on information bottlenecks. In the remainder of my talk I will discuss the challenges we face in interpretable ML and how it may provide the opportunity to gain insight into the datasets themselves. \nThe Zoom Link will be sent the day before the lecture. (Contact communication@scioi.de for specific questions)
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-leon-sixt-biorobotics-lab-fu-berlin-opportunities-and-challenges-in-interpetable-ml/
LOCATION:On ZOOM (Contact us for Link)
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200702T160000
DTEND;TZID=Europe/Berlin:20200702T173000
DTSTAMP:20260403T201617
CREATED:20200514T092211Z
LAST-MODIFIED:20240813T105036Z
UID:7937-1593705600-1593711000@www.scienceofintelligence.de
SUMMARY:PI Lecture: Thorsten Pachur (SCIoI): Ecologically Rational Decision Making
DESCRIPTION:Ecologically rational decision making \nHow do we make inferences about a world full of uncertainty and given the mind’s natural bounds in computational abilities? I present a perspective according to which the decision maker is equipped with a repertoire of strategies\, containing both simple heuristics and more complex strategies that are adaptive under different ecological and cognitive conditions. I will sketch methodological approaches for studying this “adaptive toolbox” and give an overview of empirical investigations of it. The results suggest that strategy selection in human decision making exploits and is adaptive to both the statistical structure of the environment (e.g.\, redundancy between cues) and internal factors of the decision maker (e.g.\, cognitive abilities\, knowledge). Further\, the use of simple heuristics often seems to occur strategically and efficiently\, implementing bounded and ecological rationality. \nThe Zoom Link will be sent the Monday before the lecture to all our subscribers. (Contact communication@scioi.de for specific questions. We will try to accommodate late link requests where possible)
URL:https://www.scienceofintelligence.de/event/pi-lecture-thorsten-pachur-scioi/
LOCATION:On ZOOM (Contact us for Link)
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200625T160000
DTEND;TZID=Europe/Berlin:20200625T180000
DTSTAMP:20260403T201617
CREATED:20200309T121608Z
LAST-MODIFIED:20250604T100103Z
UID:7262-1593100800-1593108000@www.scienceofintelligence.de
SUMMARY:Jacqueline Gottlieb (Hosted by Martin Rolfs): Curiosity and Information Demand: How We Can Study Them and Why We Should Care
DESCRIPTION:Curiosity and information demand: how we can study them and why we should care \nA rapidly growing literature has recently emphasized the importance of our sense-making instincts\, including complex investigative behaviors such as curiosity\, for behavior and brain function. While much of this literature has focused on simple forms of decision making\, we explored its significance for attention allocation. To make adaptive decisions in realistic multi-dimensional environments\, animals must infer the relevant features and afford them priority for the control of learning and actions. Prioritizing sources of information is the role of executive control and attention\, but its neural mechanisms are poorly understood. I will review studies of information demand suggesting that the fronto-parietal network encodes both optimal and non-optimal mechanisms for attentional prioritization. Converging evidence shows that parietal neurons encode prior uncertainty and likelihood\, two quantities required for Bayesian prioritization that maximizes the reduction in uncertainty. However\, the neurons also encode priority based on hedonic stimulus-reward associations\, in ways that seem non-optimal and interfere with the reduction of uncertainty. Continued studies of information demand will shed light on the vital question of how animals make complex decisions in realistic settings – specifically\, how they endogenously assign salience or priority to competing sources of information that subsequently control learning and actions. \nJacqueline Gottlieb\, Department of Neuroscience\, The Kavli Institute for Brain Science\, The Zuckerman Institute for Mind Brain and Behavior\, Columbia University\, New York\, NY\, 10032\, www.gottlieblab.com \nThe Zoom Link will be sent the day before the lecture. (Contact communication@scioi.de for specific questions) \n  \n(Photo by JR Korpa on Unsplash)
URL:https://www.scienceofintelligence.de/event/distinguished-speaker-series-jacqueline-gottlieb/
LOCATION:On ZOOM (Contact us for Link)
CATEGORIES:Distinguished Speaker Series
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200625T100000
DTEND;TZID=Europe/Berlin:20200625T110000
DTSTAMP:20260403T201617
CREATED:20200611T085210Z
LAST-MODIFIED:20250604T100116Z
UID:8031-1593079200-1593082800@www.scienceofintelligence.de
SUMMARY:Thursday Morning Lectures: Dr Utku Culha (Max Planck Inst.): Physical Intelligence on Soft Robots: Order\, Functionality\, and Adaptation From the Bottom-Up
DESCRIPTION:Abstract:\nWe typically have a clear idea about the final design and functionality of a robot before we start building it. We apply this top-down design approach to a wide range of robotic systems and it allows our robots to be more optimized\, autonomous\, and programmable. However\, if we want to design and actuate multiple robots in miniature scales or robots made of soft and deforming materials\, this approach sometimes fails to meet our needs. In such cases\, we adopt nature’s design strategy that creates complex and emergent morphologies\, and adaptive functions out of the collective motion of many neighboring\, soft\, smaller\, and simpler elements. In this talk\, I will describe how we can use this bottom-up design approach to build and control soft robots and their self-assemblies in multiple length scales. I will talk about how we can benefit from engineering tools\, fundamental laws of physics\, and emerging machine learning methods to explore the vast design and function search space of soft robots. I will give examples from my works on embodied intelligence where the physical properties of the robots enable further increments to computational intelligence while multiplying the effects of adaptivity\, durability\, and autonomy. Our findings can enable novel robotic systems in medicine\, agriculture\, and human-robot interaction\, and establish stronger connections with biology\,  physics\, and material science. \nBio:\nUtku Culha has received his bachelor’s and master’s degrees from Bilkent University\, Turkey from the Computer Engineering Department. He started his Ph.D. on Mechanical Engineering in ETH-Zurich\, Switzerland with Prof. Fumiya Iida and then moved to the University of Cambridge\, UK to help establish the Bio-Inspired Robotics Laboratory. During his Ph.D.\, Utku has worked on deforming thermoplastic materials to build robots with adaptive sensing\, locomotion\, and manipulation skills. After completing his Ph.D.\, Utku joined the Physical Intelligence Department at the Max-Planck Institute (MPI) for Intelligent Systems in Stuttgart\, Germany\, and has been working as a Humboldt Postdoctoral researcher with Prof. Metin Sitti since 2016. Utku is interested in creating self-assembling soft robots that can physically adapt to their environment by deforming their body morphologies. He is also working on using data-efficient machine-learning methods to explore novel robot functions\, designs\, and controllers. \nThe Zoom Link will be sent the day before the lecture. (Contact communication@scioi.de for specific questions) \n(Image copyright Utku Culha) \n 
URL:https://www.scienceofintelligence.de/event/thursday-morning-lectures-dr-utku-kulha-max-planck-inst-physical-intelligence-on-soft-robots-order-functionality-and-adaptation-from-the-bottom-up/
LOCATION:On ZOOM (Contact communication@scioi.de for link)
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200623T160000
DTEND;TZID=Europe/Berlin:20200623T170000
DTSTAMP:20260403T201617
CREATED:20200529T090813Z
LAST-MODIFIED:20250604T100126Z
UID:19325-1592928000-1592931600@www.scienceofintelligence.de
SUMMARY:PresFutures Forum\, SCIoI’s Fishbowl Discussion: “Predictive AI — Crystal Ball To See the Future or a Threat to Civil Rights?”
DESCRIPTION:Rainer Mühlhoff and John-Dylan Haynes participated in a fishbowl discussion on predictive AI.
URL:https://www.scienceofintelligence.de/event/presfutures-forum-sciois-fishbowl-discussion-predictive-ai-crystal-ball-to-see-the-future-or-a-threat-to-civil-rights/
CATEGORIES:For the Public
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200618T160000
DTEND;TZID=Europe/Berlin:20200618T173000
DTSTAMP:20260403T201617
CREATED:20200514T092105Z
LAST-MODIFIED:20240813T105515Z
UID:7935-1592496000-1592501400@www.scienceofintelligence.de
SUMMARY:Oliver Brock (SCIoI): Genesis\, Goals\, and Gossip of SCIoI
DESCRIPTION:Abstract: I would like to give a personal perspective of the scientific motivation and framing of SCIoI and relate them to the research of my lab\, the Robotics and Biology Laboratory. But at the same time\, I would like to critically question and discuss all of these things\, in an attempt to move towards a shared understanding of what we are trying to accomplish as a cluster.  And if we run out of exciting scientific topics (and you are curious about it)\, I can also talk about the history and soap opera of SCIoI\, a story that started more than 10 years ago. \n***Want to attend this lecture? Subscribe to our mailing list here or by sending an empty email to scioi-info-join@lists.tu-berlin.de\nThe Zoom Link will be sent the day before the lecture. (Contact communication@scioi.de for specific questions)
URL:https://www.scienceofintelligence.de/event/pi-lecture-oliver-brock-scioi/
LOCATION:On ZOOM (Contact us for Link)
CATEGORIES:PI Lecture
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200618T100000
DTEND;TZID=Europe/Berlin:20200618T110000
DTSTAMP:20260403T201617
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:20260403T201617
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:20260403T201617
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)
ATTACH;FMTTYPE=image/png:https://www.scienceofintelligence.de/wp-content/uploads/2020/05/xx.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200528T100000
DTEND;TZID=Europe/Berlin:20200528T110000
DTSTAMP:20260403T201617
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:20260403T201617
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)
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2020/04/sanetwo-sodbayar-RJ498czEcVU-unsplash-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200507T160000
DTEND;TZID=Europe/Berlin:20200507T173000
DTSTAMP:20260403T201617
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
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2018/11/lazarides_800.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200507T100000
DTEND;TZID=Europe/Berlin:20200507T110000
DTSTAMP:20260403T201617
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:20260403T201617
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:20260403T201617
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:20260403T201617
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)
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2020/03/robina-weermeijer-IHfOpAzzjHM-unsplash-scaled-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200416T100000
DTEND;TZID=Europe/Berlin:20200416T110000
DTSTAMP:20260403T201617
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)
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2019/10/kurvers_800.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200402T100000
DTEND;TZID=Europe/Berlin:20200402T110000
DTSTAMP:20260403T201617
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)
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2020/03/Dimitri1-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200319T100000
DTEND;TZID=Europe/Berlin:20200319T110000
DTSTAMP:20260403T201617
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:20260403T201617
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:20260403T201617
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:20260403T201617
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:20260403T201617
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:20260403T201617
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
END:VCALENDAR