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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20210422T160000
DTEND;TZID=Europe/Berlin:20210422T173000
DTSTAMP:20260429T102854
CREATED:20210419T204213Z
LAST-MODIFIED:20250212T104311Z
UID:10069-1619107200-1619112600@www.scienceofintelligence.de
SUMMARY:Oliver Brock (Science of Intelligente): 5 Things I Think About (Out Loud)\, Part 2
DESCRIPTION:Abstract:\nOliver Brock will continue exploring about these five things:\n1) Is intelligence non-decomposable?\n2) Does intelligence require multiple computational paradigms?\n3) To neuroscience or not to neuroscience?\n4) A principle of intelligence?\n5) It’s all about the prior \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-with-oliver-brock-5-things-i-think-about-out-loud-part-2/
CATEGORIES:PI Lecture
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2018/06/brock_800.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20210415T160000
DTEND;TZID=Europe/Berlin:20210415T173000
DTSTAMP:20260429T102854
CREATED:20210126T081525Z
LAST-MODIFIED:20250212T104603Z
UID:9572-1618502400-1618507800@www.scienceofintelligence.de
SUMMARY:Oliver Brock (Science of Intelligence): 5 Things I Think About (Out Loud)
DESCRIPTION:Abstract:\nOliver Brock will talk about these five things:\n1) Is intelligence non-decomposable?\n2) Does intelligence require multiple computational paradigms?\n3) To neuroscience or not to neuroscience?\n4) A principle of intelligence?\n5) It’s all about the prior\nEach section will be followed by Q&A&D. \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-with-oliver-brock/
CATEGORIES:PI Lecture
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2019/10/brock_800.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20210204T160000
DTEND;TZID=Europe/Berlin:20210204T173000
DTSTAMP:20260429T102854
CREATED:20210125T164303Z
LAST-MODIFIED:20250604T095733Z
UID:9555-1612454400-1612459800@www.scienceofintelligence.de
SUMMARY:Rasha Abdel Rahman\, “How Intelligent Is Visual Perception?”
DESCRIPTION:Visual perception is shaped by the input from our physical environment and by expectations derived from our sensory experience with the visual world. But is what we see also influenced by higher cognitive capacities such as memories\, language\, semantic knowledge or (true or false) beliefs? And if so\, what are the consequences on how we perceive and understand the visual and social world around us? Can visual perception be described as a creative process that is guided\, sometimes mislead or biased\, and\, arguably more often\, augmented by top-down influences from higher-level cognition? These questions pertain to the long-standing debate around the penetrability of perception. I will discuss evidence for effects of cognition on perception from basic low-level to complex high-level processing of colors\, objects\, faces and symbols\, as well as effects on the potential of these stimuli to be consciously perceived. The incorporation of additional sources of information may enhance the efficiency and flexibility of visual perception not only in humans\, but also in artificial neural networks that do not typically incorporate top-down information. In perspective\, this may enhance resource and data efficiency\, flexible adaptations to different contexts\, and mutual understanding between human and artificial agents in the service of successful interactions. \n  \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-rasha-abdel-rahman/
CATEGORIES:PI Lecture
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2018/11/abdelrahman_800.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20210107T160000
DTEND;TZID=Europe/Berlin:20210107T173000
DTSTAMP:20260429T102854
CREATED:20201205T175342Z
LAST-MODIFIED:20240813T105545Z
UID:9245-1610035200-1610040600@www.scienceofintelligence.de
SUMMARY:Olaf Hellwich
DESCRIPTION:The 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-with-olaf-hellwich/
CATEGORIES:PI Lecture
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2018/11/hellwich_800.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20201210T160000
DTEND;TZID=Europe/Berlin:20201210T170000
DTSTAMP:20260429T102854
CREATED:20200827T083540Z
LAST-MODIFIED:20250212T104916Z
UID:8592-1607616000-1607619600@www.scienceofintelligence.de
SUMMARY:Ralph Hertwig: Experimenting with Intelligence
DESCRIPTION:Experimenting with Intelligence \nAbstract. Within just 7 years\, behavioral decision research in psychology underwent a dramatic change. In 1967\, Peterson and Beach (1967a) reviewed more than 160 experiments concerned with people’s statistical intuitions. Invoking the metaphor of the mind as an intuitive statistician\, they concluded that “probability theory and statistics can be used as the basis for psychological models that integrate and account for human performance in a wide range of inferential tasks” (p. 29). Yet in a 1974 Science article\, Tversky and Kahneman rejected this conclusion\, arguing that “people rely on a limited number of heuristic principles which reduce the complex tasks of assessing probabilities and predicting values to simple judgmental operations” (p. 1124). With that\, they introduced the heuristics-and-biases research program\, which has profoundly altered how psychology\, and the behavioral sciences more generally\, view the mind’s competences\, rationality\, and\, ultimately\, intelligence. How was this radical transformation possible? In this talk\, I will aim to give one possible answer to this question\, and it focuses on the how of we experiment with human intelligence. \nSpeaker website:\nhttps://www.mpib-berlin.mpg.de/staff/ralph-hertwig \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-with-ralph-hertwig/
LOCATION:On ZOOM (Contact us for Link)
CATEGORIES:PI Lecture
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2018/11/hertwig_800.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20201119T160000
DTEND;TZID=Europe/Berlin:20201119T173000
DTSTAMP:20260429T102854
CREATED:20200827T081235Z
LAST-MODIFIED:20240813T105605Z
UID:8588-1605801600-1605807000@www.scienceofintelligence.de
SUMMARY:Pawel Romanczuk (SCIoI): Collective Information Processing - From Simple Flocking Models to Real Ecological Systems
DESCRIPTION:Collective Information Processing – From Simple Flocking Models to Real Ecological Systems \nAbstract: \nCollective systems such animal groups or cellular ensembles represent fascinating examples of self-organization in biology. In contrast to non-living physical systems\, self-organized biological collectives are results of long-term evolutionary adaptations to a specific ecological niche\, where collective behavior provides evolutionary benefits to individual agents. However\, collective information processing\, as an important biological function and a core aspect of collective intelligence\, is always subject to constraints set by the interaction mechanisms and the resulting self-organized dynamics. \nIn this lecture\, we will review models of self-organized flocking\, discuss their potential limitations\, open question\, and newer developments. Further on\, we will discuss the interplay between self-organization and collective information processing with some specific examples from our recent research\, as e.g. collective migration in complex environments\, or collective predator evasion.
URL:https://www.scienceofintelligence.de/event/pi-lecture-with-pawel-romanczuk-scioi/
LOCATION:On ZOOM (Contact us for Link)
CATEGORIES:PI Lecture
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2018/11/romanczuk_800.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20201105T160000
DTEND;TZID=Europe/Berlin:20201105T173000
DTSTAMP:20260429T102854
CREATED:20200827T080523Z
LAST-MODIFIED:20250604T095826Z
UID:8584-1604592000-1604597400@www.scienceofintelligence.de
SUMMARY:Lars Lewejohann (SCIoI): What’s on a Mouse’s Mind? Behavioral Measures To Understand Animal’s Experiences and Needs
DESCRIPTION:What’s on a mouse’s mind? Behavioral measures to understand animal’s experiences and needs \nLars Lewejohann\, Freie Universität Berlin\, German Federal Institute for Risk Assessment (BfR)\, German Centre for the Protection of Laboratory Animals (Bf3R) \nAbstract: Mice\, as all other living creatures\, have adapted to specific living conditions in the course of evolution. From our human point of view\, the behavior of animals is therefore not always easy to understand. This applies not only to the question of whether mice are actually capable of behaving intelligently\, but also to the question of what is necessary for optimizing animal welfare of laboratory animals. In our work\, we are interested in both questions and follow an animal-centered approach asking the mice about “their view”. Of course mice cannot fill out questionnaires\, but we have developed a series of behavioral tests that allow to query the animals. In this lecture I will outline our approach with regard to improving housing and living conditions as well as the implications of using mice as a model species for the science of intelligence. \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-with-lars-lewejohann/
LOCATION:On ZOOM (Contact us for Link)
CATEGORIES:PI Lecture
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2018/11/lewejohann_800.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200618T160000
DTEND;TZID=Europe/Berlin:20200618T173000
DTSTAMP:20260429T102854
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
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2018/06/brock_800.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200604T160000
DTEND;TZID=Europe/Berlin:20200604T173000
DTSTAMP:20260429T102854
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
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2018/11/obermayer_800.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200507T160000
DTEND;TZID=Europe/Berlin:20200507T173000
DTSTAMP:20260429T102854
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:20200423T160000
DTEND;TZID=Europe/Berlin:20200423T173000
DTSTAMP:20260429T102854
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
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2018/11/rolfs_800.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200220T100000
DTEND;TZID=Europe/Berlin:20200220T110000
DTSTAMP:20260429T102854
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:20260429T102854
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:20200213T160000
DTEND;TZID=Europe/Berlin:20200213T173000
DTSTAMP:20260429T102854
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:20260429T102854
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:20260429T102854
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:20200117T193000
DTEND;TZID=Europe/Berlin:20200117T203000
DTSTAMP:20260429T102854
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:20200109T160000
DTEND;TZID=Europe/Berlin:20200109T173000
DTSTAMP:20260429T102854
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
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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20191205T160000
DTEND;TZID=Europe/Berlin:20191205T173000
DTSTAMP:20260429T102854
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
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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20191121T160000
DTEND;TZID=Europe/Berlin:20191121T173000
DTSTAMP:20260429T102854
CREATED:20191121T164421Z
LAST-MODIFIED:20240813T110021Z
UID:6326-1574352000-1574357400@www.scienceofintelligence.de
SUMMARY:Jörg Raisch (SCIoI): Models for Feedback - Costs and Benefits of Simplicity
DESCRIPTION:PI Lecture Series\nModels for Feedback — Cost and Benefits of Simplicity \nJoerg Raisch\, Control Systems Group\, TU Berlin \nAbstract: \nWe’ll start with a short introduction to feedback control. I’ll\nemphasise that the systematic design of feedback requires a formal\nmodel of the system to be controlled\, and that the choice of such a\nmodel represents a fundamental degree of freedom in the design\nprocess. In general\, one is interested in “simple” models\, where the\nnotion of “simplicity” may refer to the dimension or the structure\n(e.g.\, linearity) of the model. We’ll explore possible costs that are\nrelated to model simplification: examples are the loss of predictive\npower or a weaker algebraic setting. We will finally discuss\nconditions that make these costs acceptable.
URL:https://www.scienceofintelligence.de/event/pi-lecture-series-jorg-raisch-models-for-feedback-costs-and-benefits-of-simplicity/
LOCATION:FH 315\, Fraunhoferstraße 33-36\, Berlin\, 10587
CATEGORIES:PI Lecture
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