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DTSTART;TZID=Europe/Berlin:20201203T160000
DTEND;TZID=Europe/Berlin:20201203T180000
DTSTAMP:20260404T115822
CREATED:20200824T130544Z
LAST-MODIFIED:20240813T092247Z
UID:8554-1607011200-1607018400@www.scienceofintelligence.de
SUMMARY:Naomi Leonard\, Princeton University (hosted by Jörg Raisch): Opinion Dynamics with Tunable Sensitivity:  Consensus\, Dissensus\, and Cascades
DESCRIPTION:I will present a model of continuous-time opinion dynamics for an arbitrary number of agents that communicate over a network and form real-valued opinions about an arbitrary number of options.  The model generalizes linear and nonlinear models in the literature. Drawing from biology\, physics\, and social psychology\, we introduce an attention parameter to modulate social influence and a saturation function to bound inter-agent and intra-agent opinion exchanges.  This yields simply parameterized dynamics that exhibit the range of opinion formation behaviors predicted by model-independent bifurcation theory but not exhibited by linear models or existing nonlinear models. Behaviors include reliable formation of consensus and dissensus\, even in homogeneous networks\, and opinion cascades. The opinion dynamics also display ultra-sensitivity to inputs\, robustness to disturbance\, and flexible transitions between consensus and dissensus. Augmenting the opinion dynamics with feedback dynamics for the attention parameter results in tunable thresholds that govern sensitivity\, robustness\, and flexibility.  The model provides new means for systematic study of dynamics on natural and engineered networks\, from information spread and political polarization to collective decision making and dynamic task allocation. This is joint work with Alessio Franci (UNAM\, Mexico) and Anastasia Bizyaeva (Princeton). \nNaomi Ehrich Leonard is a control theorist whose work involves analysis and design of feedback and interconnection in complex\, dynamical systems.  She uses mathematical models and methods to study mechanisms of collective motion and collective decision making for multi-agent systems in nature (analysis of animal and human groups) and in engineering (design of autonomous robotic teams and mobile sensor networks).  She has applied her work to the collective dynamics of killifish\, starlings\, honeybees\, zebras\, and desert harvester ants\, as well as to rule-based improvisational dance.  She led a multidisciplinary ocean sensing project with a month-long deployment of an automated\, adaptive network of underwater robotic vehicles in Monterey Bay\, CA.  Leonard is the Edwin S. Wilsey Professor of Mechanical and Aerospace Engineering and associated faculty member of the Program in Applied and Computational Mathematics at Princeton University.  She is a MacArthur Fellow\, a Fellow of the American Academy of Arts and Sciences\, IEEE\, SIAM\, ASME\, and IFAC. Visit her website here. \nThe Zoom Link will be sent the day before the lecture. (Contact communication@scioi.de for specific questions)
URL:https://www.scienceofintelligence.de/event/distinguished-speaker-series-naomi-leonard-princeton-university-hosted-by-jorg-raisch/
CATEGORIES:Distinguished Speaker Series
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20201203T100000
DTEND;TZID=Europe/Berlin:20201203T110000
DTSTAMP:20260404T115822
CREATED:20201130T132146Z
LAST-MODIFIED:20240813T105558Z
UID:9231-1606989600-1606993200@www.scienceofintelligence.de
SUMMARY:Michael Pauen
DESCRIPTION:BIO: Michael Pauen is a philosopher with a focus on the philosophy of mind. As the academic director of an interdisciplinary graduate school\, he has extensive experience in interdisciplinary research and training. Having a specific interest in philosophical and psychological aspects of human sociality\, he will focus on social intelligence both in humans and in artificial systems. \nThe Zoom Link will be sent the day before the lecture. (Contact communication@scioi.de for specific questions)
URL:https://www.scienceofintelligence.de/event/thursday-mornng-lecture-michael-pauen/
LOCATION:On ZOOM (Contact communication@scioi.de for link)
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20201126T160000
DTEND;TZID=Europe/Berlin:20201126T180000
DTSTAMP:20260404T115822
CREATED:20200824T130327Z
LAST-MODIFIED:20250604T095807Z
UID:8550-1606406400-1606413600@www.scienceofintelligence.de
SUMMARY:Michele Rucci\, University of Rochester (Hosted by Marianne Maertens): Seeing by Moving: The Indissoluble Bond Between Perception and Action
DESCRIPTION:Seeing by moving: the indissoluble bond between perception and action \nEstablishing a representation of space is a major goal of sensory systems.  Spatial information\, however\, is not always explicit in the incoming sensory signals. In most modalities it needs to be actively extracted from cues embedded in the temporal flow of receptor activation. Vision\, on the other hand\, starts with a sophisticated optical imaging system that explicitly preserves spatial information on the retina. This may lead to the assumption that vision is predominantly a passive spatial process: all that is needed is to transmit the retinal image to the cortex\, like uploading a digital photograph\, to establish a spatial map of the world. However\, this deceptively simple analogy is inconsistent with theoretical models and experiments that study visual processing in the context of normal motor behavior. I will argue that\, as with other senses\, vision relies heavily on sensorimotor strategies to extract and represent spatial information in the temporal domain. \nBio:\n \nMichele Rucci investigates the computational and biological mechanisms underlying visual perception following an ecological approach that studies vision in conjunction with motor behavior – in particular eye movements and characteristics of natural environments. In his Active Perception Laboratory\, his work has led to multiple findings on the roles of eye movements in the encoding of visual information and the establishment of spatial representations\, leading to the development of new tools for experimental studies and robots directly controlled by models of neural pathways. \n\n\n\n\n\n\n\n\n\n\n\n\n\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/distinguished-speaker-series-michele-rucci-hosted-by-marianne-maertens/
CATEGORIES:Distinguished Speaker Series
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20201119T160000
DTEND;TZID=Europe/Berlin:20201119T173000
DTSTAMP:20260404T115822
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
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20201112T100000
DTEND;TZID=Europe/Berlin:20201112T113000
DTSTAMP:20260404T115822
CREATED:20201102T113930Z
LAST-MODIFIED:20240813T105714Z
UID:9084-1605175200-1605180600@www.scienceofintelligence.de
SUMMARY:Heiko Hamann\, Minimize Surprise in Robots: An Innate Motivation for Collective Behavior
DESCRIPTION:Minimize Surprise in Robots: An Innate Motivation for Collective Behavior \nAfter a quick overview of other related research projects in my lab (bio-hybrid systems\, swarm performance\, collective decision-making)\, I will present our work on minimize surprise for multi-robot systems. Each robot has two artificial neural networks\, a world model (“prediction machine”) and a behavioral module (“action selection network”)\, that are trained concurrently. There is no predefined task\, instead the swarm is rewarded for making correct predictions about future sensory input. As an effect\, robots discover behaviors introducing predictable spatiotemporal sensor patterns. I will present simulated results for flocking\, aggregation\, self-assembly\, construction\, and first results using real-world mobile robots. \nThe Zoom Link will be sent the day before the lecture. (Contact communication@scioi.de for specific questions)
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-heiko-hamann-minimize-surprise-in-robots-an-innate-motivation-for-collective-behavior/
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20201110T180000
DTEND;TZID=Europe/Berlin:20201110T190000
DTSTAMP:20260404T115822
CREATED:20201015T104319Z
LAST-MODIFIED:20241007T094127Z
UID:8866-1605031200-1605034800@www.scienceofintelligence.de
SUMMARY:Berlin Science Week Panel Discussion:  Dimitri Coelho Mollo\, Rainer Mühlhoff\, Ingo Schulz-Schaeffer\, Lynn Schmittwilken. Living with AI: Past\, Present\, and Future
DESCRIPTION:Artificial Intelligence: a philosophical\, ethical and social overview. \nAs part of the series “6 o’clock with SCIoI” series of talks within the Berlin Science Week\, the panelists will discuss with the public about the philosophical\, ethical and social issues raised by AI research and applications. \nPlease visit the Berlin Science Week website to access the event.\nhttps://falling-walls.com/event/panel-discussion-living-with-ai-past-present-and-future/
URL:https://www.scienceofintelligence.de/event/berlin-science-week-panel-discussion-dimitri-coelho-mollo-rainer-muhlhoff-ingo-schulz-schaeffer-lynn-schmittwilken-living-with-ai-past-present-and-future/
CATEGORIES:For the Public
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20201109T180000
DTEND;TZID=Europe/Berlin:20201109T190000
DTSTAMP:20260404T115822
CREATED:20201015T104559Z
LAST-MODIFIED:20240813T105723Z
UID:8869-1604944800-1604948400@www.scienceofintelligence.de
SUMMARY:Berlin Science Week Talk\, Michael Pauen (SCIoI): Is artificial intelligence intelligent?
DESCRIPTION:A talk about the relation between human and artificial intelligence. \nAs part of the 6 o’clock with SCIoI series of talks\, Michael Pauen will discuss the relation between human and artificial intelligence. The most advanced AI systems today try to drive cars\, care for the elderly\, read texts or play soccer – things that we do not regard as particularly intelligent at least when they are done by humans. This raises the question whether human and artificial intelligence can be compared at all? Our speaker will suggest a number of criteria that apply to human and artificial intelligence and describe fields where a comparison between humans and robots makes sense. It will turn out that this comparison may teach us something new and unexpected about human intelligence as well. \nPlease visit the Berlin Science Week website to access the event.\nhttps://falling-walls.com/event/is-artificial-intelligence-intelligent/
URL:https://www.scienceofintelligence.de/event/berlin-science-week-talk-michael-pauen-is-artificial-intelligence-intelligent/
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20201107T180000
DTEND;TZID=Europe/Berlin:20201107T190000
DTSTAMP:20260404T115822
CREATED:20201015T103857Z
LAST-MODIFIED:20240813T105732Z
UID:8862-1604772000-1604775600@www.scienceofintelligence.de
SUMMARY:Berlin Science Week Talk\, Pawel Romanczuk And Ralf Kurvers (SCIoI)\, Collective Intelligence or Collective Stupidity? What Humans can Learn from Fish
DESCRIPTION:Exploring swarm intelligence in fish and humans. \nAs part of the “6 o’clock with SCIoI” talk series\, scientists Pawel Romanczuk and Ralf Kurvers will explore swarm intelligence in fish and humans\, investigating the role of single individuals and social interactions in collective decisions\, also exploring when collectives make good decisions\, and when they go wrong. \nPlease visit the Berlin Science Week website to access the event.\nhttps://falling-walls.com/event/collective-intelligence-or-collective-stupidity-what-humans-can-learn-from-fish/
URL:https://www.scienceofintelligence.de/event/berlin-science-week-talk-pawel-romanczuk-and-ralf-kurvers-collective-intelligence-or-collective-stupidity-what-humans-can-learn-from-fish/
CATEGORIES:For the Public
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20201106T180000
DTEND;TZID=Europe/Berlin:20201106T190000
DTSTAMP:20260404T115822
CREATED:20201015T103731Z
LAST-MODIFIED:20240813T105742Z
UID:8860-1604685600-1604689200@www.scienceofintelligence.de
SUMMARY:Berlin Science Week Talk: Marc Toussant (SCIoI)\, How AI Research Makes us Rethink our Intelligence
DESCRIPTION:The more we learn about AI\, the more we may wonder what this tells us about our own intelligence. \nAs part of the “6 o’clock with SCIoI” series of talks within the Berlin Science Week\, Marc Toussaint will talk about how AI research often raises interesting questions about our own human intelligence. \nThe more AI research aims to understand notions such as rationality\, thinking fast & slow\, learning\, as well as\ncreativity and explainability\, the more we may wonder what this tells us about ourselves. In what sense do we actually make decisions? Are we optimal or rational? Are we creative? And why should we care to think? \nWhile AI research might not provide the answers\, this talk will discuss how concrete findings of AI research make us rethink such questions. The talk is followed by a discussion session with the audience. \nPlease visit the Berlin Science Week website to access the event.\nhttps://falling-walls.com/event/how-ai-research-makes-us-rethink-our-intelligence/
URL:https://www.scienceofintelligence.de/event/berlin-science-week-talk-marc-toussant-how-ai-research-makes-us-rethink-our-intelligence/
CATEGORIES:For the Public
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20201105T160000
DTEND;TZID=Europe/Berlin:20201105T173000
DTSTAMP:20260404T115822
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
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20201105T100000
DTEND;TZID=Europe/Berlin:20201105T110000
DTSTAMP:20260404T115822
CREATED:20201102T111116Z
LAST-MODIFIED:20250604T095834Z
UID:9081-1604570400-1604574000@www.scienceofintelligence.de
SUMMARY:Robert Lange (SCIoI): “Learning Not To Learn\, Nature Versus Nurture In Silico”
DESCRIPTION:Abstract: Animals are equipped with a rich innate repertoire of sensory\, behavioral and motor skills\, which allows them to interact with the world immediately after birth. At the same time\, many behaviors are highly adaptive and can be tailored to specific environments by means of learning and exploration. In this work\, we use mathematical analysis and the framework of meta-learning (or ‘learning to learn’) to answer when it is beneficial to learn such an adaptive strategy and when to hard-code a heuristic behavior. We find that the interplay of ecological uncertainty\, task complexity and the agents’ lifetime has crucial effects on the meta-learned amortized Bayesian inference performed by an agent. There exist two regimes: One in which meta- learning yields a learning algorithm that implements task-dependent exploration and a second regime in which meta-learning imprints a purely exploitative and ‘hard-coded’ behavior. Further analysis reveals that non-adaptive behaviors are not only optimal for aspects of the environment that are stable across individuals\, but also in situations where an adaptation to the environment would in fact be highly beneficial\, but could not be done quickly enough to be exploited within the remaining lifetime. Hard-coded behaviors should hence not only be those that always work\, but also those that are too complex to be learned within a reasonable time frame.\nLink: https://arxiv.org/abs/2010.04466 \nThe Zoom Link will be sent the day before the lecture. (Contact communication@scioi.de for specific questions)
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-robert-lange-title-learning-not-to-learn-nature-versus-nurture-in-silico/
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20201104T180000
DTEND;TZID=Europe/Berlin:20201104T190000
DTSTAMP:20260404T115822
CREATED:20201015T103622Z
LAST-MODIFIED:20250604T095847Z
UID:8856-1604512800-1604516400@www.scienceofintelligence.de
SUMMARY:Berlin Science Week Talk: Alex Kacelnik\, Are WE More Like We Think THEY Are\, or Are THEY More Like We Think WE Are?
DESCRIPTION:As part of the “6 o’clock with SCIoI” talk series within the Berlin Science Week 2020\, Prof. Alex Kacelnik will take us on a fascinating journey through the understanding of intelligence in humans\, animals and robots. \nPlease visit the Berlin Science Week website to access the event.\nhttps://falling-walls.com/event/are-we-more-like-we-think-they-are-or-are-they-more-like-we-think-we-are/
URL:https://www.scienceofintelligence.de/event/berlin-science-week-talk-alex-kacelnik-are-we-more-like-we-think-they-are-or-are-they-more-like-we-think-we-are/
CATEGORIES:For the Public
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20201029T110000
DTEND;TZID=Europe/Berlin:20201029T123000
DTSTAMP:20260404T115822
CREATED:20200824T125720Z
LAST-MODIFIED:20250604T095856Z
UID:8547-1603969200-1603974600@www.scienceofintelligence.de
SUMMARY:Giovanni Pezzulo\, ISTC-CNR Rome (Host: Verena Hafner): Human Sensorimotor Communication During Human Joint Action: Experimental and Computational Perspectives
DESCRIPTION:Giovanni Pezzulo is a researcher at the Institute of Cognitive Sciences and Technologies\, National Research Council in Rome\, Italy. His research centers on the neuronal and computational mechanisms of predictive processing\, goal-directed behaviour\, and the sensorimotor foundations of higher cognition. \nHuman sensorimotor communication during human joint action: experimental and computational perspectives \nDuring online social interactions\, humans engage in various forms of non-linguistic communication. I will discuss recent research in my lab and others about sensorimotor communication (SCM): the study of the subtle communicative signals embedded within our everyday pragmatic actions. SMC is ubiquitous during realistic social interactions. For example\, soccer players often carve their body movements in ways that are informative for their teammates or deceptive for their adversaries. Furthermore\, we have many ways to perform the same goal-directed action – say\, offer a glass of wine – and small kinematic differences can make the same action rude\, polite or snobbish\, thus potentially unveiling our hidden intentions. I will present some human-human experiments on SMC and discuss them in the context of a theoretical and computational model that we have been developing\, and which considers both the costs and benefits of SMC (e.g.\, in terms of increased interaction success). More broadly\, I will discuss our current understanding of the computational (and\, in part\, neural) mechanisms underlying social interaction at large\, including e.g.\, action observation\, prediction and planning mechanisms. \n— \nRe background material: \nFor a good introduction https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0079876Photo by Uriel SC on Unsplash \nThe Zoom Link will be sent the day before the lecture. (Contact communication@scioi.de for specific questions)
URL:https://www.scienceofintelligence.de/event/distinguished-speaker-series-giovanni-pezzulo-hosted-by-verena-hafner/
CATEGORIES:Distinguished Speaker Series
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20201022T160000
DTEND;TZID=Europe/Berlin:20201022T173000
DTSTAMP:20260404T115822
CREATED:20200824T124927Z
LAST-MODIFIED:20250604T100024Z
UID:8544-1603382400-1603387800@www.scienceofintelligence.de
SUMMARY:Guy Theraulaz\, (CNRS\, Toulouse\, France. Host: Pawel Romanczuk): Ethological Analysis and Computational Modeling of Social Interactions in Schooling Fish
DESCRIPTION:Abstract: Swarms of insects\, schools of fish and flocks of birds display an impressive variety of collective movement patterns that emerge from interactions among group members. These puzzling phenomena raise a variety of questions about the interaction rules that govern the coordination of individuals’ motion and the emergence of large-scale patterns. While numerous models have been proposed\, there is still a strong need for detailed experimental studies to foster the biological understanding of such collective motion phenomena. I will first describe the methods that we have developed in the recent years to characterize social interactions between individuals involved in the coordination of swimming in Rummy-nose tetra (Hemigrammus rhodostomus) from data gathered at the individual scale. This species of tropical fish performs burst-and-coast swimming behavior that consists of sudden heading changes combined with brief accelerations followed by quasi-passive\, straight decelerations. Our results show that both attraction and alignment behaviors control the reaction of fish to a neighbor. Then I will present how these results can be used to build a model of spontaneous burst-and-coast swimming and social interactions of fish\, with all parameters being estimated or directly measured from experiments. This model shows that the simple addition of the pairwise interactions with two neighbors quantitatively reproduces the collective behavior observed in groups of five fish. Increasing the number of interacting neighbors does not significantly improve the simulation results. Remarkably\, we find that groups remain cohesive and polarized even when each agent only interacts with only one of its neighbors: the one that has the strongest contribution to the heading variation of the focal agent. Finally\, I will present a swarm robotic platform with which we investigate the impact of collision avoidance based on speed control on the group behavior. This platform combines the implementation of the fish behavioral model and an engineering-minded control system to deal with real-world physical constraints. Remarkably\, and as already observed in the model simulations\, even when robots only interact with their most influential neighbor\, our results show that the group remains highly cohesive and polarized while reproducing the behavioral patterns observed in groups of fish in experimental conditions. Overall\, our results suggest that fish have to acquire only a minimal amount of information about their environment to coordinate their movements when swimming in groups.\n  \nShort bio: Guy Theraulaz is a senior research fellow at the National Center for Scientific Research (CNRS) and an expert in the study of collective animal behaviors. He is also a researcher in the field of swarm intelligence\, primarily studying social insects but also distributed algorithms\, e.g. for collective robotics\, directly inspired by nature. His research focuses on the understanding of a broad spectrum of collective behaviors in animal societies by quantifying and then modeling the individual level behaviors and interactions\, thereby elucidating the mechanisms generating the emergent\, group-level properties. He has published many papers on nest construction in ant\, wasp and termite colonies\, collective decision-making in ants and cockroaches\, collective motion in fish schools and human crowds and collective estimation in human groups. He has also coauthored five books\, among which Swarm Intelligence: From Natural to Artificial Systems (Oxford University Press\, 1999) and Self-organization in biological systems (Princeton University Press\, 2001) that are now considered as reference textbooks. In 2019\, he has been appointed visiting chair professor in Collective Behavior\, at the Indian Institute of Science in Bangalore by the Infosys Foundation.\n  \nWebpage: http://crca.cbi-toulouse.fr/en/guytheraulaz/\n \nThe Zoom Link will be sent the day before the lecture. (Contact communication@scioi.de for specific questions)
URL:https://www.scienceofintelligence.de/event/distinguished-speaker-series-guy-theraulazhost-pawel-romanczuk/
CATEGORIES:Distinguished Speaker Series
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200910T100000
DTEND;TZID=Europe/Berlin:20200910T110000
DTSTAMP:20260404T115822
CREATED:20200827T080235Z
LAST-MODIFIED:20250604T100036Z
UID:8582-1599732000-1599735600@www.scienceofintelligence.de
SUMMARY:Thursday Morning Talk With Benjamin Wild: Social Networks Through Time – Individuality in a Colony of Honey Bees
DESCRIPTION:ABSTRACT:\nIn many social systems\, an individual’s role is reflected by its interactions with other members of the group. In many model organisms\, and particularly in social insects\, the patterns of actions and interactions among individuals are not static but constantly evolving over time. This can be due to the emergence or demise of certain individuals\, changing task allocation because of temporal polyethism and changes in the environment\, or many other reasons. Understanding such temporal patterns in complex social networks remains a challenging problem. In this talk\, I will present two recent approaches we have developed to extract meaningful and inherently interpretable embeddings of the social behavior of honey bees from temporal interaction matrices. The embeddings allow us to describe an individual’s role in the colony at any point during her life\, to detect clusters of social development of individuals\, to compare the structure of the networks at different times\, and to compare the role of individuals in the social structure in a meaningful way even when they were never alive at the same time. \n  \n(Photo by Nathaniel Sison on Unsplash) \n 
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-with-benjamin-wild/
LOCATION:On ZOOM (Contact us for Link)
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200903T100000
DTEND;TZID=Europe/Berlin:20200903T110000
DTSTAMP:20260404T115822
CREATED:20200827T075825Z
LAST-MODIFIED:20200827T075825Z
UID:8579-1599127200-1599130800@www.scienceofintelligence.de
SUMMARY:Thursday Morning Talk with  Rico Jonschkowski (Google Brain): Perception in Motion
DESCRIPTION:Title: Perception in Motion\nAbstract: This is a talk on perception in two parts. Part one exemplifies the “movement” of the field of learning-based robot perception. Here\, I will give one example for increasing structural assumptions and one for decreasing them based on our work on differentiable mapping and differentiable resampling. Part two takes the title more literally and investigates the role of motion for learning robotic perception. In that part\, I will talk about using motion as a cue for unsupervised learning of optical flow\, ego-motion estimation\, monocular depth estimation\, and object detection. \nBio: Rico Jonschkowski is a research scientist at Robotics at Google\, working on unsupervised learning for robot perception. His research vision is to identify structural invariances from the perspective of a learning agent in our world and to inject those invariances as priors into learning algorithms to make robot learning more efficient. Before joining Google in 2018\, Rico received his Dr. rer. nat. (German PhD equivalent) from Technische Universität Berlin and his MSc and BSc from Freie Universität Berlin. He was part of the RBO team that won the Amazon Picking Challenge 2015 and received the best systems paper award at Robotics: Science and Systems (RSS) in 2016. \n  \n(Photo by Franck V. on Unsplash)
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-with-rico-jonschkowski-google-brain-perception-in-motion/
LOCATION:On ZOOM (Contact us for Link)
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2020/05/franck-v-zbLW0FG8XU8-unsplash-scaled-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200811T090000
DTEND;TZID=Europe/Berlin:20200813T180000
DTSTAMP:20260404T115822
CREATED:20200701T115459Z
LAST-MODIFIED:20240725T100659Z
UID:8181-1597136400-1597341600@www.scienceofintelligence.de
SUMMARY:SCIoI Scientific Networking Days (internal event)
DESCRIPTION:The SCIoI Scientific Networking Days event is an internal retreat meant to establish scientific connections among the people and the projects in SCIoI. Through this event\, we want to emphasize the importance of establishing scientific connections among SCIoI researchers and promote in-depth scientific discussions and exchanges. \nDuring the retreat\, the SCIoI executive board will evaluate currently pending proposals in the SCIoI internal funding program as well as all ongoing SCIoI projects. The goal is to ensure the scientific quality of the projects and also to guarantee that the projects provide a suitable scientific backdrop for PhDs’ and Postdocs’ careers. \nDue to the Covid19-related restrictions\, this year all SCIoI members will be asked to hold their talks online. When preparing their presentations\, members should keep in mind the varied audience and the cluster’s multi-disciplinary component. In the evening of 11 August\, we are also planning a weather-dependent (and entirely optional) social event to be held in Tiergarten park. We will provide more information about this closer to the date. SCIoI Members should also check their calendars for more detailed daily schedules. \n 
URL:https://www.scienceofintelligence.de/event/scioi-scientific-networking-days/
LOCATION:Internal Event
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200716T100000
DTEND;TZID=Europe/Berlin:20200716T110000
DTSTAMP:20260404T115822
CREATED:20200426T180541Z
LAST-MODIFIED:20250604T100050Z
UID:7842-1594893600-1594897200@www.scienceofintelligence.de
SUMMARY:Work-in-Progress Talk: Dimitri Coelho Mollo (SCIoI) & Alfredo Vernazzani (Ruhr Universität Bochum): Saving Representational Formats: A Computational Theory
DESCRIPTION:Abstract \nMost cognitive sciences (including AI) appeal to representations in explaining (or trying to create) systems capable of cognition\, and especially of complex\, intelligent behaviour. In philosophy\, considerable attention has been dedicated to the problem of explaining in scientifically-acceptable ways how representations come to represent what they do. In contrast\, there has been much less effort dedicated to developing theories of representational formats\, i.e. those properties of representations traditionally conceived in terms of dichotomies that oppose the symbolic to the iconic\, the digital to analogue\, and so on. For the most part\, work on representational formats has focused on their distinctive phenomenological features; while philosophers have tended largely to remain vague about formats’ explanatory role in cognitive theories and their computational roles in the cognitive system. \nIn this talk\, we propose a new computation-based theory of representational formats that makes room for a plurality of distinguishable formats across a number of different dimensions — such as density\, continuity\, similarity\, etc. — thus avoiding partial or simplistic dichotomies\, and neatly individuating the nature and role of representational formats in explaining cognition and intelligent behavior. According to our proposal\, representational formats are to be understood primarily in terms of their abstract computational profiles\, that is\, the coarse-grained computational transformations that they allow. In cashing out this computation-based account of representational formats\, we rely on recent advances in understanding the nature of computation in physical systems brought forth by the teleomechanistic view of computation. \nThe Zoom Link will be sent the day before the lecture. (Contact communication@scioi.de for specific questions)
URL:https://www.scienceofintelligence.de/event/work-in-progress-talk-dimitri-coelho-mollo-scioi-alfredo-vernazzani-ruhr-universitat-bochum-saving-representational-formats-a-computational-theory/
LOCATION:On ZOOM (Contact us for Link)
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200709T100000
DTEND;TZID=Europe/Berlin:20200709T110000
DTSTAMP:20260404T115822
CREATED:20200706T111519Z
LAST-MODIFIED:20240813T091903Z
UID:8209-1594288800-1594292400@www.scienceofintelligence.de
SUMMARY:Thursday Morning Talk: Leon Sixt (Biorobotics Lab\, FU Berlin): Opportunities and Challenges in Interpetable ML
DESCRIPTION:Abstract: Deep neural networks underlie many state of the art solutions to hard problems in computer vision\, natural language processing or playing Go. Yet\, their power comes with a price. Deep networks transform inputs gradually into outputs\, using many parameters and intermediary activations. Understanding what a network has learned\, how inputs are mapped to outputs\, is inherently difficult. In my talk I will focus on attribution methods\, algorithms that provide an explanation as to which input variables were relevant for the network’s decision. I will present some of my recent work in this field by first showing how attribution methods may fail and then presenting a new method that is based on information bottlenecks. In the remainder of my talk I will discuss the challenges we face in interpretable ML and how it may provide the opportunity to gain insight into the datasets themselves. \nThe Zoom Link will be sent the day before the lecture. (Contact communication@scioi.de for specific questions)
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-leon-sixt-biorobotics-lab-fu-berlin-opportunities-and-challenges-in-interpetable-ml/
LOCATION:On ZOOM (Contact us for Link)
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200702T160000
DTEND;TZID=Europe/Berlin:20200702T173000
DTSTAMP:20260404T115822
CREATED:20200514T092211Z
LAST-MODIFIED:20240813T105036Z
UID:7937-1593705600-1593711000@www.scienceofintelligence.de
SUMMARY:PI Lecture: Thorsten Pachur (SCIoI): Ecologically Rational Decision Making
DESCRIPTION:Ecologically rational decision making \nHow do we make inferences about a world full of uncertainty and given the mind’s natural bounds in computational abilities? I present a perspective according to which the decision maker is equipped with a repertoire of strategies\, containing both simple heuristics and more complex strategies that are adaptive under different ecological and cognitive conditions. I will sketch methodological approaches for studying this “adaptive toolbox” and give an overview of empirical investigations of it. The results suggest that strategy selection in human decision making exploits and is adaptive to both the statistical structure of the environment (e.g.\, redundancy between cues) and internal factors of the decision maker (e.g.\, cognitive abilities\, knowledge). Further\, the use of simple heuristics often seems to occur strategically and efficiently\, implementing bounded and ecological rationality. \nThe Zoom Link will be sent the Monday before the lecture to all our subscribers. (Contact communication@scioi.de for specific questions. We will try to accommodate late link requests where possible)
URL:https://www.scienceofintelligence.de/event/pi-lecture-thorsten-pachur-scioi/
LOCATION:On ZOOM (Contact us for Link)
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200625T160000
DTEND;TZID=Europe/Berlin:20200625T180000
DTSTAMP:20260404T115822
CREATED:20200309T121608Z
LAST-MODIFIED:20250604T100103Z
UID:7262-1593100800-1593108000@www.scienceofintelligence.de
SUMMARY:Jacqueline Gottlieb (Hosted by Martin Rolfs): Curiosity and Information Demand: How We Can Study Them and Why We Should Care
DESCRIPTION:Curiosity and information demand: how we can study them and why we should care \nA rapidly growing literature has recently emphasized the importance of our sense-making instincts\, including complex investigative behaviors such as curiosity\, for behavior and brain function. While much of this literature has focused on simple forms of decision making\, we explored its significance for attention allocation. To make adaptive decisions in realistic multi-dimensional environments\, animals must infer the relevant features and afford them priority for the control of learning and actions. Prioritizing sources of information is the role of executive control and attention\, but its neural mechanisms are poorly understood. I will review studies of information demand suggesting that the fronto-parietal network encodes both optimal and non-optimal mechanisms for attentional prioritization. Converging evidence shows that parietal neurons encode prior uncertainty and likelihood\, two quantities required for Bayesian prioritization that maximizes the reduction in uncertainty. However\, the neurons also encode priority based on hedonic stimulus-reward associations\, in ways that seem non-optimal and interfere with the reduction of uncertainty. Continued studies of information demand will shed light on the vital question of how animals make complex decisions in realistic settings – specifically\, how they endogenously assign salience or priority to competing sources of information that subsequently control learning and actions. \nJacqueline Gottlieb\, Department of Neuroscience\, The Kavli Institute for Brain Science\, The Zuckerman Institute for Mind Brain and Behavior\, Columbia University\, New York\, NY\, 10032\, www.gottlieblab.com \nThe Zoom Link will be sent the day before the lecture. (Contact communication@scioi.de for specific questions) \n  \n(Photo by JR Korpa on Unsplash)
URL:https://www.scienceofintelligence.de/event/distinguished-speaker-series-jacqueline-gottlieb/
LOCATION:On ZOOM (Contact us for Link)
CATEGORIES:Distinguished Speaker Series
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200625T100000
DTEND;TZID=Europe/Berlin:20200625T110000
DTSTAMP:20260404T115822
CREATED:20200611T085210Z
LAST-MODIFIED:20250604T100116Z
UID:8031-1593079200-1593082800@www.scienceofintelligence.de
SUMMARY:Thursday Morning Lectures: Dr Utku Culha (Max Planck Inst.): Physical Intelligence on Soft Robots: Order\, Functionality\, and Adaptation From the Bottom-Up
DESCRIPTION:Abstract:\nWe typically have a clear idea about the final design and functionality of a robot before we start building it. We apply this top-down design approach to a wide range of robotic systems and it allows our robots to be more optimized\, autonomous\, and programmable. However\, if we want to design and actuate multiple robots in miniature scales or robots made of soft and deforming materials\, this approach sometimes fails to meet our needs. In such cases\, we adopt nature’s design strategy that creates complex and emergent morphologies\, and adaptive functions out of the collective motion of many neighboring\, soft\, smaller\, and simpler elements. In this talk\, I will describe how we can use this bottom-up design approach to build and control soft robots and their self-assemblies in multiple length scales. I will talk about how we can benefit from engineering tools\, fundamental laws of physics\, and emerging machine learning methods to explore the vast design and function search space of soft robots. I will give examples from my works on embodied intelligence where the physical properties of the robots enable further increments to computational intelligence while multiplying the effects of adaptivity\, durability\, and autonomy. Our findings can enable novel robotic systems in medicine\, agriculture\, and human-robot interaction\, and establish stronger connections with biology\,  physics\, and material science. \nBio:\nUtku Culha has received his bachelor’s and master’s degrees from Bilkent University\, Turkey from the Computer Engineering Department. He started his Ph.D. on Mechanical Engineering in ETH-Zurich\, Switzerland with Prof. Fumiya Iida and then moved to the University of Cambridge\, UK to help establish the Bio-Inspired Robotics Laboratory. During his Ph.D.\, Utku has worked on deforming thermoplastic materials to build robots with adaptive sensing\, locomotion\, and manipulation skills. After completing his Ph.D.\, Utku joined the Physical Intelligence Department at the Max-Planck Institute (MPI) for Intelligent Systems in Stuttgart\, Germany\, and has been working as a Humboldt Postdoctoral researcher with Prof. Metin Sitti since 2016. Utku is interested in creating self-assembling soft robots that can physically adapt to their environment by deforming their body morphologies. He is also working on using data-efficient machine-learning methods to explore novel robot functions\, designs\, and controllers. \nThe Zoom Link will be sent the day before the lecture. (Contact communication@scioi.de for specific questions) \n(Image copyright Utku Culha) \n 
URL:https://www.scienceofintelligence.de/event/thursday-morning-lectures-dr-utku-kulha-max-planck-inst-physical-intelligence-on-soft-robots-order-functionality-and-adaptation-from-the-bottom-up/
LOCATION:On ZOOM (Contact communication@scioi.de for link)
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200623T160000
DTEND;TZID=Europe/Berlin:20200623T170000
DTSTAMP:20260404T115822
CREATED:20200529T090813Z
LAST-MODIFIED:20250604T100126Z
UID:19325-1592928000-1592931600@www.scienceofintelligence.de
SUMMARY:PresFutures Forum\, SCIoI’s Fishbowl Discussion: “Predictive AI — Crystal Ball To See the Future or a Threat to Civil Rights?”
DESCRIPTION:Rainer Mühlhoff and John-Dylan Haynes participated in a fishbowl discussion on predictive AI.
URL:https://www.scienceofintelligence.de/event/presfutures-forum-sciois-fishbowl-discussion-predictive-ai-crystal-ball-to-see-the-future-or-a-threat-to-civil-rights/
CATEGORIES:For the Public
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200618T160000
DTEND;TZID=Europe/Berlin:20200618T173000
DTSTAMP:20260404T115822
CREATED:20200514T092105Z
LAST-MODIFIED:20240813T105515Z
UID:7935-1592496000-1592501400@www.scienceofintelligence.de
SUMMARY:Oliver Brock (SCIoI): Genesis\, Goals\, and Gossip of SCIoI
DESCRIPTION:Abstract: I would like to give a personal perspective of the scientific motivation and framing of SCIoI and relate them to the research of my lab\, the Robotics and Biology Laboratory. But at the same time\, I would like to critically question and discuss all of these things\, in an attempt to move towards a shared understanding of what we are trying to accomplish as a cluster.  And if we run out of exciting scientific topics (and you are curious about it)\, I can also talk about the history and soap opera of SCIoI\, a story that started more than 10 years ago. \n***Want to attend this lecture? Subscribe to our mailing list here or by sending an empty email to scioi-info-join@lists.tu-berlin.de\nThe Zoom Link will be sent the day before the lecture. (Contact communication@scioi.de for specific questions)
URL:https://www.scienceofintelligence.de/event/pi-lecture-oliver-brock-scioi/
LOCATION:On ZOOM (Contact us for Link)
CATEGORIES:PI Lecture
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200618T100000
DTEND;TZID=Europe/Berlin:20200618T110000
DTSTAMP:20260404T115822
CREATED:20200528T092941Z
LAST-MODIFIED:20240417T125547Z
UID:7990-1592474400-1592478000@www.scienceofintelligence.de
SUMMARY:Manuel Lopes (hosted by Marc Toussaint): Optimal Behavior Without Optimal Rewards : Artificial Vs Natural
DESCRIPTION:Abstract:\nResearch in robotics and A.I. aims at optimizing very specific task rewards. Intelligent animals have a high degree of curiosity\, and recent\nresults have shown that instrumental reward optimization is a poor explanation for their behavior. We can show that to explain empirical\nresults from animals\, we need to have the drive to optimize reward\, a drive to reduce uncertainty\, and a drive for positive cues. We then show examples in robotics where a more complex reward system provides benefits in learning.\n\nReferences:\nDaddaoua\, N.\, Lopes\, . & Gottlieb\, J. Intrinsically motivated oculomotor exploration guided by uncertainty reduction and conditioned\nreinforcement in non-human primates. Sci Rep 6\, 20202 (2016). https://doi.org/10.1038/srep20202\nLopes\, M.\, Lang\, T.\, Toussaint\, M.\, & Oudeyer\, P. Y. (2012). Exploration in model-based reinforcement learning by empirically estimating learning progress. In Advances in neural information processing systems (pp. 206-214).\n\n***Want to know more about this lecture? Contact us at communication@scioi.de\n\n(Photo by Franck V. on Unsplash)
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-manuel-lopes-hosted-by-marc-toussaint/
LOCATION:On ZOOM (Contact communication@scioi.de for link)
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200604T160000
DTEND;TZID=Europe/Berlin:20200604T173000
DTSTAMP:20260404T115822
CREATED:20200514T091801Z
LAST-MODIFIED:20240813T105506Z
UID:7933-1591286400-1591291800@www.scienceofintelligence.de
SUMMARY:Klaus Obermayer (SCIoI): Reward-based Learning and Decision Making under Risk
DESCRIPTION:Reward-based Learning and Decision Making under Risk \nReinforcement learning provides a framework for making agents learn policies through feedback signals (“rewards”)\, which provide information about whether their actions or action sequences were successful or not. Reinforcement learning also provides a framework for understanding how humans learn and decide given reward information only. Standard reinforcement learning assumes that good decisions / actions / policies are the ones which maximize expected reward as a proxy of success. Humans and animals\, on the other hand\, often do not behave this way\, and there is ample evidence for multiple factors which influence learning and decision making. In my talk I will specifically discuss the interaction between risk and reward. I will first present a mathematical framework for including outcome-induced risk into reinforcement learning on Markov decision processes\, and I will derive a risk-sensitive variant of model-free Q-learning which is useful for quantifying human behavior. Then I will discuss extensions of this framework to the partially observable case and show preliminary results for cases where risk is induced by perceptual uncertainty. \n***Want to know more about this lecture? Contact us at communication@scioi.de***
URL:https://www.scienceofintelligence.de/event/pi-lecture-klaus-obermayer-scioi/
LOCATION:On ZOOM (Contact us for Link)
CATEGORIES:PI Lecture
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200604T100000
DTEND;TZID=Europe/Berlin:20200604T110000
DTSTAMP:20260404T115822
CREATED:20200513T133146Z
LAST-MODIFIED:20250604T100143Z
UID:7927-1591264800-1591268400@www.scienceofintelligence.de
SUMMARY:Thursday Morning Talk With Matteo Colombo (Tilburg University): Bayesian Norms and the Rationality of Perception
DESCRIPTION:Patients suffering from schizophrenia are less susceptible to various perceptual illusions (and to some hallucinations\, too) than most healthy individuals. Yet\, schizophrenia patients’ perception-forming processes have been characterised as aberrant\, as producing false inferences and irrational mental states. This characterisation is consistent with the idea that perceptual experiences and processes can be appraised as rational or irrational. But it remains unclear what norms should govern this appraisal\, in either healthy individuals or psychiatric patients. In this paper\, we consider various norms of Bayesian rationality\, and argue that a violation of probabilism constitutes at least some cases of  irrationality of perception. Cases like schizophrenia patients’ resistance to illusions should be appraised as irrational\, because it depends on a kind of probabilistic incoherence among perceptual experiences. This probabilistic incoherence manifests itself phenomenologically as fragmented perceptual scenes\, whereby subjects of experience do not experience meaningful connections between the objects of their experiences. \n***Want to know more about this lecture? Contact us at communication@scioi.de*** \n(Photo by Joel Naren on Unsplash)
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-with-matteo-colombo-tilburg-university-bayesian-norms-and-the-rationality-of-perception/
LOCATION:On ZOOM (Contact us for Link)
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200528T100000
DTEND;TZID=Europe/Berlin:20200528T110000
DTSTAMP:20260404T115822
CREATED:20200513T133418Z
LAST-MODIFIED:20240813T105459Z
UID:7930-1590660000-1590663600@www.scienceofintelligence.de
SUMMARY:Alan Akbik (SCIoI): Automatically Understanding Human Language: Challenges and Applications
DESCRIPTION:With research in machine learning (ML) and natural language processing (NLP)\, we aim to give machines the ability to understand and use human language. In this talk\, I give a high level introduction of some of the challenges of the field and give an overview of basic NLP tasks (and show some demos). I also introduce the Flair framework – developed by my group together with the open source community – that allows you to use state-of-the-art NLP methods in your research or applications. Time permitting\, I’ll also briefly cover research aspects of the framework\, such as learning word and sentence representations with neural language modeling\, and discuss future directions.
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-with-alan-akbik-scioi-automatically-understanding-human-language-challenges-and-applications/
LOCATION:On ZOOM (Contact us for Link)
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200514T100000
DTEND;TZID=Europe/Berlin:20200514T230000
DTSTAMP:20260404T115822
CREATED:20200430T063831Z
LAST-MODIFIED:20250604T100512Z
UID:7896-1589450400-1589497200@www.scienceofintelligence.de
SUMMARY:Zoom Talk: Marianne Maertens & Martin Rolfs (SCIoI): A Potential Paradigm Shift in Vision Research
DESCRIPTION:More than an actual talk\, this will be an informal exchange on the theme of “A potential paradigm shift in vision search.” Active participation is warmly welcomed. This is an internal event\, meant for SCIoI members only.
URL:https://www.scienceofintelligence.de/event/zoom-talk-marianne-maertens-martin-rolfs-a-potential-paradigm-shift-in-vision-research/
LOCATION:On ZOOM (Contact us for Link)
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200507T160000
DTEND;TZID=Europe/Berlin:20200507T173000
DTSTAMP:20260404T115822
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
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END:VEVENT
END:VCALENDAR