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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20201105T160000
DTEND;TZID=Europe/Berlin:20201105T173000
DTSTAMP:20260410T011558
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:20201119T160000
DTEND;TZID=Europe/Berlin:20201119T173000
DTSTAMP:20260410T011558
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:20201210T160000
DTEND;TZID=Europe/Berlin:20201210T170000
DTSTAMP:20260410T011558
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:20210107T160000
DTEND;TZID=Europe/Berlin:20210107T173000
DTSTAMP:20260410T011558
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:20210204T160000
DTEND;TZID=Europe/Berlin:20210204T173000
DTSTAMP:20260410T011558
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:20210415T160000
DTEND;TZID=Europe/Berlin:20210415T173000
DTSTAMP:20260410T011558
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:20210422T160000
DTEND;TZID=Europe/Berlin:20210422T173000
DTSTAMP:20260410T011558
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:20210506T160000
DTEND;TZID=Europe/Berlin:20210506T173000
DTSTAMP:20260410T011558
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:20210520T160000
DTEND;TZID=Europe/Berlin:20210520T173000
DTSTAMP:20260410T011558
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:20210603T160000
DTEND;TZID=Europe/Berlin:20210603T173000
DTSTAMP:20260410T011558
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:20210617T160000
DTEND;TZID=Europe/Berlin:20210617T173000
DTSTAMP:20260410T011558
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:20210701T160000
DTEND;TZID=Europe/Berlin:20210701T173000
DTSTAMP:20260410T011558
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:20210715T160000
DTEND;TZID=Europe/Berlin:20210715T173000
DTSTAMP:20260410T011558
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:20211014T160000
DTEND;TZID=Europe/Berlin:20211014T173000
DTSTAMP:20260410T011558
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:20220106T160000
DTEND;TZID=Europe/Berlin:20220106T173000
DTSTAMP:20260410T011558
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:20220120T160000
DTEND;TZID=Europe/Berlin:20220120T173000
DTSTAMP:20260410T011558
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:20220217T160000
DTEND;TZID=Europe/Berlin:20220217T173000
DTSTAMP:20260410T011558
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:20220505T160000
DTEND;TZID=Europe/Berlin:20220505T173000
DTSTAMP:20260410T011558
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:20220602T160000
DTEND;TZID=Europe/Berlin:20220602T173000
DTSTAMP:20260410T011558
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:20220616T140000
DTEND;TZID=Europe/Berlin:20220616T153000
DTSTAMP:20260410T011558
CREATED:20211213T103945Z
LAST-MODIFIED:20250604T092143Z
UID:11383-1655388000-1655393400@www.scienceofintelligence.de
SUMMARY:Marianne Maertens (Event Takes Place at MAR at 2pm)\, “Smart Mechanisms in Visual Perception”
DESCRIPTION:More details to follow. \n 
URL:https://www.scienceofintelligence.de/event/pi-lecture-with-marianne-maertens/
CATEGORIES:PI Lecture
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2021/12/maertens_800.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220707T160000
DTEND;TZID=Europe/Berlin:20220707T173000
DTSTAMP:20260410T011558
CREATED:20211213T104332Z
LAST-MODIFIED:20250603T130353Z
UID:11387-1657209600-1657215000@www.scienceofintelligence.de
SUMMARY:Pawel Romanczuk\, “Modeling of Flocking &Amp; Swarming With Stochastic Agent-Based Models”
DESCRIPTION:Abstract: Collective behavior\, as exhibited by bird flocks\, fish schools or insect swarms\, is a fascinating example of self-organized behavior in biology. Mathematical models of flocking were key for the development of our current understanding on how complex complex group-level behaviors may emerge from simple local rules of interaction of close-by individuals. In this lecture I will provide a brief introduction into individual-based modeling of collective behavior from established so-called social force models to novel developments taking into account perceptual & cognitive constraints. \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/pi-lecture-with-pawel-romanczuk-2/
CATEGORIES:PI Lecture
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2021/12/romanczuk_800-e1673542639711.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220721T160000
DTEND;TZID=Europe/Berlin:20220721T173000
DTSTAMP:20260410T011558
CREATED:20220516T084326Z
LAST-MODIFIED:20250603T130301Z
UID:12061-1658419200-1658424600@www.scienceofintelligence.de
SUMMARY:Linda Onnasch (HU)\, “Effects of Anthropomorphism on Trust and Behavior in Work-Related HRI”
DESCRIPTION:Abstract:  \nAnthropomorphic robot features are intended to trigger the activation of social scripts from human-human interaction\, thereby offering an intuitive approach to interact with robots. Whereas this seems to be a valid design option for the social domain leading to an increased acceptance of robots\, trust and willingness to interact\, other domains of human-robot interaction (HRI) do not provide such a clear picture. In my talk I will address the impact of anthropomorphic robot design on trust and behavior in work-related settings and show the drawbacks of anthropomorphism when not considering the context of HRI and the task relevance of anthropomorphism.\n  \nPh. taken from HU website. \n 
URL:https://www.scienceofintelligence.de/event/guest-pi-lecture-with-linda-onnasch-hu-effects-of-anthropomorphism-on-trust-and-behavior-in-work-related-hri/
CATEGORIES:PI Lecture
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2022/05/Linda-Onnasch.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220915T140000
DTEND;TZID=Europe/Berlin:20220915T170000
DTSTAMP:20260410T011558
CREATED:20220728T112830Z
LAST-MODIFIED:20260212T104131Z
UID:12817-1663250400-1663261200@www.scienceofintelligence.de
SUMMARY:SCIoI Open Day 2022 (hybrid event)
DESCRIPTION:This Thursday 15 September (2-5pm) is SCIoI’s Open Day! \nOn this day\, SCIoI offers visitors the chance to catch a glimpse of our cluster\, its activities\, and open positions. During our Open Day\, prospective applicants as well as other interested persons can visit the cluster\, have a (virtual or physical) look around the spaces and facilities\, meet researchers and staff\, ask questions\, and get a general feel for the place. Attending this event is also a great way to prepare to apply for the nine research positions (3 PhD and 6 postdoc) we will be opening this fall. Stay tuned for more information about the single positions! \nHere is our preliminary program (Room 2.057)\n14:00 Who we are: Introduction and Welcome at SCIoI\n15:00 What we offer: Presentation Doctoral Program and Admission Process\n16:00 Insight view: Talks by early career researchers from SCIoI\n17:00 Lab Visits (only on site) \nThe event will be streamed on Youtube\, so click here to follow us remotely. \n\nIf you wish to register for the event\, please fill the form below. \n\nError: Contact form not found. \n\n\nAdd this event to your calendar:
URL:https://www.scienceofintelligence.de/event/scioi-open-day-2022-hybrid-event/
CATEGORIES:PI Lecture
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2022/07/robottino-1536x1152-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20221013T160000
DTEND;TZID=Europe/Berlin:20221013T173000
DTSTAMP:20260410T011558
CREATED:20211222T112959Z
LAST-MODIFIED:20240813T101240Z
UID:11470-1665676800-1665682200@www.scienceofintelligence.de
SUMMARY:Jens Krause (HU Berlin)\, "Mexican Waves: The Adaptive Value of Collective Behaviour".
DESCRIPTION:Abstract\nThe collective behaviour of animals has attracted considerable attention in recent years\, with many studies exploring how local interactions between individuals can give rise to global group properties. The functional aspects of collective behaviour are less well studied\, especially in the field and relatively few studies have investigated the adaptive benefits of collective behaviour in situations where prey are attacked by predators. This paucity of studies is unsurprising because predator-prey interactions in the field are difficult to observe. Furthermore\, the focus in recent studies on predator-prey interactions has been on the collective behaviour of the prey rather than on the behaviour of the predator. Here I present a field study that investigated the antipredator benefits of waves produced by fish at the water surface when diving down collectively in response to attacks of avian predators. Fish engaged in surface waves that were highly conspicuous\, repetitive\, and rhythmic involving many thousands of individuals for up to 2 min. Collective fish waves increased the time birds waited until their next attack and also reduced capture probability in three avian predators that greatly differed in size\, appearance and hunting strategy. Taken together\, these results support a generic antipredator function of fish waves which could be a result of a confusion effect or a consequence of waves acting as a perception advertisement\, which requires further exploration. \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/pi-lecture-with-jens-krause-tu-berlin/
CATEGORIES:PI Lecture
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2021/12/jens.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20221201T160000
DTEND;TZID=Europe/Berlin:20221201T173000
DTSTAMP:20260410T011558
CREATED:20211222T113440Z
LAST-MODIFIED:20240813T101910Z
UID:11480-1669910400-1669915800@www.scienceofintelligence.de
SUMMARY:Klaus Obermayer (Science of Intelligence)\, "Computational Models of Electric Field Effects and Optimal Control of Neurons and Neural Populations"
DESCRIPTION:Abstract: \nThe brain is a complex dynamical system with processes operating on different spatial scales. At the macroscopic end one observes global dynamical phenomena\, which are called „brain states“ and which are often acompanied by oscillations in different frequency bands or by specific functional connectivity patterns between populations of neuron. A common hypothesis states\, that the global dynamics establishes a task-dependent operating point\, which is required by individual neurons and local networks to perform information processing tasks. Perturbation experiments are performed\, on the one hand\, to perform causal analyses into the consequences of this and related hypotheses and\, on the other hand\, to restore a brain’s operating point in case of dysfunction. \nIn my talk I will summarize some of our recent modelling work to better understand the interaction between the neural dynamics and external control inputs\, taking non-invasive electrical stimulation of neural tissue as an example. I will first present some results on the biophysics of (microscopic) neuron-field interactions and our modelling attempts to propagate these effects to the macroscopic level. In the second part of my presentation I will show\, how techniques from Optimal Control Theory can be used to probe controllability aspects of neural systems and to help design efficient ways of steering the neural dynamics. \n  \nThis talk will take place in person at SCIoI. \n 
URL:https://www.scienceofintelligence.de/event/pi-lecture-with-klaus-obermayer/
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:20221215T160000
DTEND;TZID=Europe/Berlin:20221215T173000
DTSTAMP:20260410T011558
CREATED:20211222T113627Z
LAST-MODIFIED:20250603T130124Z
UID:11482-1671120000-1671125400@www.scienceofintelligence.de
SUMMARY:John Dylan Haynes (Science of Intelligence)\, “Intelligence in Humans Versus Machines”
DESCRIPTION:Many claims have been made that machine intelligence could make humans superfluous in the near future. Today this claim is largely seen as overstated\, but it is still important to assess the relative strengths of human versus machine cognition. \n\n  \nThis talk will take place in person at SCIoI.
URL:https://www.scienceofintelligence.de/event/pi-lecture-with-john-dylan-haynes/
CATEGORIES:PI Lecture
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2018/11/haynes_800.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230420T160000
DTEND;TZID=Europe/Berlin:20230420T173000
DTSTAMP:20260410T011558
CREATED:20230119T093158Z
LAST-MODIFIED:20240813T102404Z
UID:14068-1682006400-1682011800@www.scienceofintelligence.de
SUMMARY:Marcel Brass (Science of Intelligence)\, "Social agency"
DESCRIPTION:Abstract: Sense of agency (SOA) refers to the experience of controlling one’s\nown actions and corresponding effects. Social agency refers to SOA in situations\nwhere other social agents are involved. This can refer to situations in which we\nact together or in the presence of other agents or to situations where we\ncontrol the behaviour of others. I will discuss the concept of social agency and\nits relevance for topics such as collective behaviour and human-machine\ninteraction. Furthermore\, I will provide some empirical examples of\ninvestigating social agency.
URL:https://www.scienceofintelligence.de/event/pi-lecture-with-marcel-brass-2/
LOCATION:MAR 2.057
CATEGORIES:PI Lecture
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2023/01/20201020-SCIOI-Marcel2.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230504T160000
DTEND;TZID=Europe/Berlin:20230504T173000
DTSTAMP:20260410T011558
CREATED:20230119T093257Z
LAST-MODIFIED:20250212T103308Z
UID:14071-1683216000-1683221400@www.scienceofintelligence.de
SUMMARY:Guillermo Gallego (Science of Intelligence)\, "Event-based Vision at the TU Berlin Robotic Interactive Perception Lab"
DESCRIPTION:More details to follow.
URL:https://www.scienceofintelligence.de/event/pi-lecture-with-guillermo-gallego-2/
LOCATION:MAR 2.057
CATEGORIES:PI Lecture
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2023/01/gallego_800.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230622T160000
DTEND;TZID=Europe/Berlin:20230622T173000
DTSTAMP:20260410T011558
CREATED:20230119T093719Z
LAST-MODIFIED:20240813T103047Z
UID:14077-1687449600-1687455000@www.scienceofintelligence.de
SUMMARY:Jörg Raisch (Science of Intelligence)\, "Efficient Consensus over Wireless Channels & and its Use in Traffic Automation Problems"
DESCRIPTION:Consensus algorithms are routinely employed in a variety of multi-agent scenarios. They require that each agent iteratively evaluates a multivariate function of its neighbours’ information states. If a wireless communication channel is used\, this is typically implemented through protocols (such as TDMA – Time Division Multiple Access) that avoid superposition of transmitted signals by assigning each transmitter its own (time) slot.However\, consensus only requires that agents know a function of their neighbours’ information states\, not the individual information states. Hence one may ask whether using the famous Kolmogorov-Arnold representation theorem might allow to exploit the channel’s superposition property to drastically reduce communication effort. Kolmogorov-Arnold essentially states that every continuous multivariate function can be expressed via univariate functions and addition. If channel superposition were to be considered as addition\, all agents could consequently simultaneously transmit a suitably preprocessed version of their information state\, with receiving agents locally postprocessing the received superposition signal.\nWe will explain for two widely used consensus types (average consensus and max-consensus) why in practice the application of Kolmogorov-Arnold is notquite as straightforward. For both consensus types\, we will suggest alternative approaches\, which make use of the channel’s superposition property whilehandling non-ideality effects such as time-varying unknown channel coefficients. By allowing all agents to transmit at the same time\, the required number oftransmission slots is considerably reduced. In the second part of the talk\, we will demonstrate how average and max-consensus algorithms can be used in various traffic automation scenarios. This includes platooning\, distributed automatic lane changing\, and distributed automation of traffic intersections.
URL:https://www.scienceofintelligence.de/event/pi-lecture-with-jorg-raisch/
LOCATION:MAR 2.057
CATEGORIES:PI Lecture
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2023/01/raisch_800.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230720T160000
DTEND;TZID=Europe/Berlin:20230720T173000
DTSTAMP:20260410T011558
CREATED:20230119T094413Z
LAST-MODIFIED:20250603T125757Z
UID:14083-1689868800-1689874200@www.scienceofintelligence.de
SUMMARY:Olaf Hellwich (Science of Intelligence)\, “State Vectors of Computer Vision at Time T=Now. Perspectives\, Particles and Predictions”
DESCRIPTION:We take varying perspectives to the state of the art in Computer Vision: e.g. from SCIoI\, disciplinary and interdisciplinary viewpoints. Sampling from the multi-modal state vector distribution\, we inspect currently exciting developments: e.g. the integration of computer vision and language processing\, the use of biological principles in synthetic systems\, and self supervision. Generalizing from the examples\, we dare to extrapolate societal impact\, e.g. w.r.t. the application of artificial intelligence\, defense questions and the future of evolution.
URL:https://www.scienceofintelligence.de/event/pi-lecture-with-olaf-hellwich-2/
LOCATION:MAR 2.057
CATEGORIES:PI Lecture
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2023/01/hellwich_800.jpg
END:VEVENT
END:VCALENDAR