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X-WR-CALDESC:Events for scienceofintelligence.de
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DTSTART;TZID=Europe/Berlin:20201104T180000
DTEND;TZID=Europe/Berlin:20201104T190000
DTSTAMP:20260501T094503
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:20201105T100000
DTEND;TZID=Europe/Berlin:20201105T110000
DTSTAMP:20260501T094503
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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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20201105T160000
DTEND;TZID=Europe/Berlin:20201105T173000
DTSTAMP:20260501T094503
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:20201106T180000
DTEND;TZID=Europe/Berlin:20201106T190000
DTSTAMP:20260501T094503
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:20201107T180000
DTEND;TZID=Europe/Berlin:20201107T190000
DTSTAMP:20260501T094503
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:20201109T180000
DTEND;TZID=Europe/Berlin:20201109T190000
DTSTAMP:20260501T094503
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:20201110T180000
DTEND;TZID=Europe/Berlin:20201110T190000
DTSTAMP:20260501T094503
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:20201112T100000
DTEND;TZID=Europe/Berlin:20201112T113000
DTSTAMP:20260501T094503
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:20201119T160000
DTEND;TZID=Europe/Berlin:20201119T173000
DTSTAMP:20260501T094503
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:20201126T160000
DTEND;TZID=Europe/Berlin:20201126T180000
DTSTAMP:20260501T094503
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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