BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//scienceofintelligence.de - ECPv6.15.12.2//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:scienceofintelligence.de
X-ORIGINAL-URL:https://www.scienceofintelligence.de
X-WR-CALDESC:Events for scienceofintelligence.de
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/Berlin
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20190331T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20191027T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20200329T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20201025T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20210328T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20211031T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20220327T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20221030T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20230326T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20231029T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220602T160000
DTEND;TZID=Europe/Berlin:20220602T173000
DTSTAMP:20260429T120155
CREATED:20211213T103700Z
LAST-MODIFIED:20250604T092213Z
UID:11379-1654185600-1654191000@www.scienceofintelligence.de
SUMMARY:Max Wolf\, “Fishy Twin Studies and the Origin of Personality Differences”
DESCRIPTION:Abstract:\nI will discuss research on a powerful biological model system\, the natural clonal fish Amazon molly. Mothers in this female-only species produce genetically identical offspring\, allowing us to employ an experimental twin study approach to address some of the most fundamental questions associated with behaviour and the development of behaviour. Do twins separated directly after birth into identical environments develop personality differences? When and how do such differences develop? And how can this unique model system be used to understand the development of intelligent behaviour? \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/pi-lecture-with-max-wolf/
CATEGORIES:PI Lecture
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2021/12/max-wolf.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220505T160000
DTEND;TZID=Europe/Berlin:20220505T173000
DTSTAMP:20260429T120155
CREATED:20211213T102131Z
LAST-MODIFIED:20240813T100950Z
UID:11373-1651766400-1651771800@www.scienceofintelligence.de
SUMMARY:Michael Pauen (Science of Intelligence)\, "Detecting Higher Cognitive States in Natural and Artificial Intelligence"
DESCRIPTION:More details to follow.
URL:https://www.scienceofintelligence.de/event/pi-lecture-with-michael-pauen/
CATEGORIES:PI Lecture
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2021/12/pauen_800.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220217T160000
DTEND;TZID=Europe/Berlin:20220217T173000
DTSTAMP:20260429T120155
CREATED:20211213T101644Z
LAST-MODIFIED:20250604T092613Z
UID:11367-1645113600-1645119000@www.scienceofintelligence.de
SUMMARY:Marcel Brass (Science of Intelligence)\, “The Cognitive Neuroscience of Implementing Novel Instructions”
DESCRIPTION:One fundamental difference between human and non-human animals is the ability of humans to instantaneously implement instructed behaviour. While other animals acquire new behaviour via effortful trial-and-error learning or extensive practice\, humans can implement novel behaviour based on instructions. This ability is presumably a key aspect of cultural learning. In my talk\, I will discuss the neuro-cognitive basis of implementing novel instructions. I will provide evidence for the hypothesis that instruction following requires a reformatting of symbolic/declarative representations into a procedural format. This procedural format is capacity limited and shows characteristics of a ‘prepared reflex’. I will discuss potential implications of these findings for artificial systems. \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/pi-lecture-with-marcel-brass/
CATEGORIES:PI Lecture
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2020/12/20201020-SCIOI-Marcel2.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220120T160000
DTEND;TZID=Europe/Berlin:20220120T173000
DTSTAMP:20260429T120155
CREATED:20211213T101428Z
LAST-MODIFIED:20250604T092649Z
UID:11363-1642694400-1642699800@www.scienceofintelligence.de
SUMMARY:Henning Sprekeler (Science of Intelligence)\, “Harnessing Machine Learning To Model Biological Systems”
DESCRIPTION:“Harnessing machine learning to model biological systems” \nAbstract:\nClassically\, models of biological systems follow two different approaches. In bottom-up approaches\, biological data are used to constrain a phenomenological model of the system in question\, and the model is the studied to identify potential functions or potential consequences of the observations that flow into the model. Top-down approaches\, on the other hand\, start with a presumed function and ask how this question could be implemented in a biologically inspired architecture. Both approaches have been very successful\, but both suffer from their own kind of problems. Bottom-up approaches often suffer from (potentially many) parameters that cannot be sufficiently constrained from data. Top-down approaches were in the past hard to combine with the complexities of the biological system in question. Recent advances in machine learning (ML) software now offer a promising hybrid approach\, because they allow to optimize not only neural nets\, but basically any dynamical system by gradient descent. I will offer a few examples how we have used ML to study biological systems\, ranging from behavioral level (nature vs. nurture) down to the level of neural circuits (role of feedback for invariant sensory processing\, and\, time permitting\, the function of different cell classes). \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/pi-lecture-with-henning-sprekeler/
CATEGORIES:PI Lecture
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2021/12/sprekeler_800.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220106T160000
DTEND;TZID=Europe/Berlin:20220106T173000
DTSTAMP:20260429T120155
CREATED:20211213T101206Z
LAST-MODIFIED:20250604T092718Z
UID:11359-1641484800-1641490200@www.scienceofintelligence.de
SUMMARY:Lars Lewejohann (Science of Intelligence)\, “What’s on a Mouse’s Mind? Behavioral Measures To Understand Experiences and Needs of an Animal”
DESCRIPTION:What’s on a mouse’s mind? Behavioral measures to understand experiences and needs of an animal\nLars Lewejohann\, Freie Universität Berlin\, German Federal Institute for Risk Assessment (BfR)\, German Centre for the Protection of Laboratory Animals (Bf3R) \nMice\, as all other living creatures\, have adapted to specific living conditions in the course of evolution. From a 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 and are giving mice their say. 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.
URL:https://www.scienceofintelligence.de/event/pi-lecture-with-lars-lewejohann-3/
CATEGORIES:PI Lecture
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2021/12/lewejohann_800.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20211014T160000
DTEND;TZID=Europe/Berlin:20211014T173000
DTSTAMP:20260429T120155
CREATED:20210722T073413Z
LAST-MODIFIED:20250604T095433Z
UID:10435-1634227200-1634232600@www.scienceofintelligence.de
SUMMARY:Tim Landgraf (Science of Intelligence)\, “The Hidden Shallows of Explaining Deep Models”
DESCRIPTION:Abstract:  \nIn the cognitive-\, behavioral- or neuro-sciences we often match a computational model to observations and then\, analyzing the model\, hope to find results that generalize to the underlying system. With deep neural networks (DNNs) quite powerful function approximators are available that can be fitted to huge data sets\, accelerated by cheap hardware and elaborate software stacks. It seems tempting to use DNNs as a default model but how do we analyze their behavior? DNNs are essentially black boxes: although we can write down the network function\, it does not tell us anything about the features it extracts or about the rules animals employ when interacting with one another. In recent years\, a new field has emerged and proposed a variety of methods to explain deep neural networks. In my talk\, I will (1) introduce you to some ideas that explanation algorithms are based on\, (2) show how quantifying their performance on proxy tasks can be misleading\, (3) provide an intuition why some popular proponents of these algorithms won’t work in deep networks\, (4) will introduce you to a new dataset generator that enables us to create challenging problems to test and evaluate explanation methods and (5) discuss why we need extensive (and expensive) user studies to investigate whether explanation methods actually provide additional information that would be available from the model’s outputs alone. I hope to stimulate a discussion about the use-cases for which “explain a DNN to discover the hidden rules of my study system” may work\, and in which it may not. \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/pi-lecture-with-tim-landgraf/
CATEGORIES:PI Lecture
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2019/10/landgraf_800.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20210715T160000
DTEND;TZID=Europe/Berlin:20210715T173000
DTSTAMP:20260429T120155
CREATED:20210126T083842Z
LAST-MODIFIED:20250604T095514Z
UID:9590-1626364800-1626370200@www.scienceofintelligence.de
SUMMARY:Heiko Hamann (Science of Intelligence)\, “Group Performance and Scalability in Collective Systems”
DESCRIPTION:Abstract:\nScalability can be challenging in groups of collaborating agents\, such as animals\, robots\, or computers. While a small group may work efficiently together\, a bigger group may be slowed down due to increased needs to communicate and synchronize or due to other scarce shared resources. We go through a number of examples for observed system performance over system size and find common features. Based on these findings\, we define a simple mathematical model that catches these main features and can generically be applied to different domains\, such as robotics\, computing\, and sensor networks or possibly even human groups. We end by speculating a bit of what might be common to all of these systems and what might be the underlying drivers for the limits of scalability. \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-heiko-hamann/
CATEGORIES:PI Lecture
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2019/10/Hamann_800.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20210701T160000
DTEND;TZID=Europe/Berlin:20210701T173000
DTSTAMP:20260429T120155
CREATED:20210126T083722Z
LAST-MODIFIED:20250604T095530Z
UID:9588-1625155200-1625160600@www.scienceofintelligence.de
SUMMARY:Guillermo Gallego (Science of Intelligence)\, “Current Status of Event-Based Vision Research”
DESCRIPTION:Abstract:\nEvent-based cameras\, also called neuromorphic cameras or silicon retinas\, are novel vision sensors that mimic functions from the human retina and offer potential advantages over traditional cameras (low latency\, high speed\, high dynamic range\, bandwidth savings\, low power\, etc.). My previous talk was about event-based cameras for Spatial AI. In this talk I will provide an overview of how event-based cameras are becoming more and more widely spread in multiple applications (monitoring\, tracking\, counting\, recognition\, etc.). \nThe Zoom Link will be sent the day before the lecture. (Contact communication@scioi.de for specific questions) \n 
URL:https://www.scienceofintelligence.de/event/pi-lecture-with-guillermo-gallego/
CATEGORIES:PI Lecture
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2019/10/20190903_ECDF_Gallego_3h_bw.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20210617T160000
DTEND;TZID=Europe/Berlin:20210617T173000
DTSTAMP:20260429T120155
CREATED:20210126T082237Z
LAST-MODIFIED:20250604T095557Z
UID:9583-1623945600-1623951000@www.scienceofintelligence.de
SUMMARY:Rebecca Lazarides (Science of Intelligente)\, “Learning in Social Interaction – Emotions\, Motivation and Adaptive Learning Support”
DESCRIPTION: ABSTRACT: Central theories of learning in human agents emphasize that the quality of instruction and interaction between agents is of high importance for effective knowledge transfer. On the other side\, within-agent characteristics such as a certain level of emotion and motivation is required to participate in social interactions. Consequently\, the interplay between characteristics of social interactions and characteritics of learners influences learning in a way that might speed up knowledge transfer. In the PI lecture\, key principles of learning in humans from the perspective of research in motivational and intructional psychology are reviewed and possible transfers to synthetic agents are discussed. Challenges of understanding human learning in social interaction will be illustrated in an overview of related project in SCIoI that address questions of emotions in social learning. \n\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-with-rebecca-lazarides/
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:20210603T160000
DTEND;TZID=Europe/Berlin:20210603T173000
DTSTAMP:20260429T120155
CREATED:20210126T082134Z
LAST-MODIFIED:20250604T095619Z
UID:9581-1622736000-1622741400@www.scienceofintelligence.de
SUMMARY:Pawel Romanczuk (Science of Intelligence)\, “Is Intelligence Critical? Can Magnets Teach Us Anything About Brains and Swarms?”
DESCRIPTION:Abstract:\nMore than three decades ago\, it was proposed that certain natural systems can be viewed as self-organized critical systems\, which self-tune themselves to special regions in parameter space close to so-called critical points\, where the behavior of a system exhibits a qualitative change at the macroscopic scale\, i.e. it undergoes a phase transition. Over the years\, theoretical research has shown that various aspects of collective computation become optimal at criticality and it has been conjectured that distributed information processing systems in biology such as the brain or animal groups should operate at\, or close to criticality. In this lecture\, I will give a brief introduction to the concept of criticality\, give a short overview over some selected theoretical studies on optimal information processing at criticality\, as well as empirical evidence for the ‘criticality hypothesis’ from neuronal dynamics and collective behavior of animals\, including some of our recent work on the topic. I will close with a critical discussion on criticality in the context of collective information processing. \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/pi-lecture-with-pawel-romanczuk/
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:20210520T160000
DTEND;TZID=Europe/Berlin:20210520T173000
DTSTAMP:20260429T120155
CREATED:20210126T082025Z
LAST-MODIFIED:20250212T104540Z
UID:9579-1621526400-1621531800@www.scienceofintelligence.de
SUMMARY:Marc Toussaint (Science of Intelligence)\, "Do We Need Reasoning?"
DESCRIPTION:Reasoning (or planning\, rational decision making) seems a core aspect of intelligence — but what exactly does that mean? If we observe clever behavior in an animal\, can we claim it is based on reasoning? And doesn’t the success of deep RL show us that we (as engineers) do not need reasoning? I’ll discuss reasoning as a means to represent behavior and what the point of that might be. \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/pi-lecture-with-marc-toussaint/
LOCATION:On Zoom
CATEGORIES:PI Lecture
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2020/11/20201020-SCIOI-MarcToussaint1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20210506T160000
DTEND;TZID=Europe/Berlin:20210506T173000
DTSTAMP:20260429T120155
CREATED:20210126T081919Z
LAST-MODIFIED:20250212T104548Z
UID:9577-1620316800-1620322200@www.scienceofintelligence.de
SUMMARY:Martin Rolfs (Science of Intelligence)\, "Looking for Action in Perception"
DESCRIPTION:Abstract\nActions affect perception directly and in multiple ways\, exerting their influence (1) by modifying parts of the external world\, (2) through internal processes accompanying movement preparation\, and (3) through the sensory consequences of moving the sensory surface itself (i.e.\, in vision\, the retina). To understand these influences\, psychology and neuroscience have long recognized the necessity to study perception in active observers. Despite this recognition\, the consequences of moving the sensory surface itself (point 3 above) have been considered a nuisance\, to the extent that perceptual processing — across sensory modalities — needs to be attenuated or suppressed during movement execution. I will discuss recent evidence that studying the immediate sensory consequences as a functional element of perceptual processes is a fruitful approach that may lead to a different understanding of the mechanisms underlying perception. The goal is to develop a set of hallmarks of active perceptual systems\, which may represent different degrees to which actions are ingrained into the perceptual processing architecture. I will propose a recipe for testing this proposal in active observers suggesting\, perhaps counterintuitively\, that a deeper understanding of perception requires shifting the focus of perceptual research to motor control and action kinematics. PS: Most of these ideas will be half-baked at the time of presentation. \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-martin-rolfs/
LOCATION:On Zoom
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:20210422T160000
DTEND;TZID=Europe/Berlin:20210422T173000
DTSTAMP:20260429T120155
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:20260429T120155
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:20260429T120155
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:20260429T120155
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:20260429T120155
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:20260429T120155
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:20260429T120155
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:20260429T120155
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:20260429T120155
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:20260429T120155
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:20260429T120155
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:20260429T120155
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:20260429T120155
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:20260429T120155
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:20260429T120155
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:20260429T120155
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:20260429T120155
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:20260429T120155
CREATED:20200106T151722Z
LAST-MODIFIED:20240813T105953Z
UID:6500-1578585600-1578591000@www.scienceofintelligence.de
SUMMARY:Guillermo Gallego (SCIoI):  "Spatial AI and Event-based Vision"
DESCRIPTION:PI Lecture Series –  “Spatial AI and Event-based Vision”\nProf. Dr. Guillermo Gallego \nRobotic Interactive Perception Group\, TU Berlin
URL:https://www.scienceofintelligence.de/event/pi-lecture-series-guillermo-gallego/
LOCATION:FH 315\, Fraunhoferstraße 33-36\, Berlin\, 10587
CATEGORIES:PI Lecture
END:VEVENT
END:VCALENDAR