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X-WR-CALDESC:Events for scienceofintelligence.de
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DTSTART;TZID=Europe/Berlin:20200604T100000
DTEND;TZID=Europe/Berlin:20200604T110000
DTSTAMP:20260501T175156
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:20200604T160000
DTEND;TZID=Europe/Berlin:20200604T173000
DTSTAMP:20260501T175156
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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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200618T100000
DTEND;TZID=Europe/Berlin:20200618T110000
DTSTAMP:20260501T175156
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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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200618T160000
DTEND;TZID=Europe/Berlin:20200618T173000
DTSTAMP:20260501T175156
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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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200623T160000
DTEND;TZID=Europe/Berlin:20200623T170000
DTSTAMP:20260501T175156
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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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200625T100000
DTEND;TZID=Europe/Berlin:20200625T110000
DTSTAMP:20260501T175156
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:20200625T160000
DTEND;TZID=Europe/Berlin:20200625T180000
DTSTAMP:20260501T175156
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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