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DTSTART;TZID=Europe/Berlin:20210603T160000
DTEND;TZID=Europe/Berlin:20210603T173000
DTSTAMP:20260430T232329
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:20210605T183000
DTEND;TZID=Europe/Berlin:20210605T190000
DTSTAMP:20260430T232329
CREATED:20210526T111040Z
LAST-MODIFIED:20250212T104522Z
UID:10238-1622917800-1622919600@www.scienceofintelligence.de
SUMMARY:LNDW 2021: David Bierbach\, "ROBOFISH: Mit einem Fischroboter das Schwarmverhalten verstehen"
DESCRIPTION:ROBOFISH: Mit einem Fischroboter das Schwarmverhalten verstehen (in German\, at 6:30pm and at 9:30pm)\n \nUm das Gruppenverhalten von Fischen zu studieren\, haben wir unter Beteiligung der FU\, HU und TU sowie des Leibniz-Instituts für Gewässerökologie und Binnenfischerei (IGB) einen Roboterfisch gebaut. Dieser ist einem Guppy nachempfunden und wird von lebenden Guppys als Artgenosse akzeptiert. Mit dem Roboter ist es nun möglich\, ein Leittier in eine Guppy-Gruppe „einzuschleusen” und gezielt zu steuern. Dank einer weltweit einzigartigen\, doppelten Videoaufnahmetechnik kann der Roboter in der Gruppe stets lokalisiert werden. Er kann nicht nur über die Tastatur gesteuert werden\, sondern nutzt die Positionsinformation der lebenden Fische\, um seine Schwimmrichtung automatisch anzupassen – verhält sich also interaktiv\, ähnlich wie ein lebender Guppy.
 Dr. David Bierbach\, Mitarbeiter der HU und Mitglied im Excellence-Cluster „Science of Intelligence“ (www.scienceofintelligence.de) wird in einem spannenden 30-minuten Vortrag den Robofish leicht verständlich für alle Altersgruppen präsentieren. Der Vortrag findet zweimal statt\, um 18:30 und um 21:30.\nThe Zoom Link for this talk will be available on 5 June on this page\, so stay tuned! 
URL:https://www.scienceofintelligence.de/event/lndw-2021-david-bierbach-robofish-mit-einem-fischroboter-das-schwarmverhalten-verstehen/
CATEGORIES:For the Public
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2021/05/Robofish.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20210605T193000
DTEND;TZID=Europe/Berlin:20210605T220000
DTSTAMP:20260430T232329
CREATED:20210526T110926Z
LAST-MODIFIED:20240429T084159Z
UID:10236-1622921400-1622930400@www.scienceofintelligence.de
SUMMARY:LNDW2021: SCIoI's Science Pub Quiz
DESCRIPTION:The SCIoI Science Pub Quiz (7:30–ca.10pm) \nJoin us for a fun evening with Science of Intelligence (SCIoI) and sign up for this special edition of the Science Pub Quiz\, organized with SCIoI! \nWhat is intelligence? Do beets float in water? Why should you pet your basil? We will be joined by Aravind Battaje and Lynn Schmittwilken\, SCIoI researchers in the fields of neurosciences and robotics\, who will tell us about their latest research and answer your most burning questions about brains and how computers can perceive the world. The event will be held in English and German and is aimed at scientists and non-scientists alike – so sign up for an evening of scientifically verified fun! \nWe are looking forward to seeing you!\nREGISTER NOW\, either individually or as a team\, on www.scipubquiz.de/register
URL:https://www.scienceofintelligence.de/event/lndw2021-sciois-science-pub-quiz/
CATEGORIES:For the Public
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2021/05/Science-PUb-quiz2.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20210605T220000
DTEND;TZID=Europe/Berlin:20210605T230000
DTSTAMP:20260430T232329
CREATED:20210526T111215Z
LAST-MODIFIED:20250212T104513Z
UID:10240-1622930400-1622934000@www.scienceofintelligence.de
SUMMARY:LNDW2021: Ralf Kurvers and Pawel Romanczuk: "Collective Intelligence or Collective Stupidity? Swarm intelligence in fish and humans"
DESCRIPTION:Collective Intelligence or Collective Stupidity? Swarm intelligence in fish and humans (5 June\, 10pm) \nIn this talk\, Pawel Romanczuk and Ralf Kurvers from our Excellence Cluster 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.\nThe Zoom Link for this talk will be available on 5 June on this page\, so stay tuned!
URL:https://www.scienceofintelligence.de/event/lndw2021-ralf-kurvers-and-pawel-romanczuk-collective-intelligence-or-collective-stupidity-swarm-intelligence-in-fish-and-humans/
CATEGORIES:For the Public
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2021/05/Collective.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20210610T160000
DTEND;TZID=Europe/Berlin:20210610T173000
DTSTAMP:20260430T232329
CREATED:20210420T112103Z
LAST-MODIFIED:20240813T092525Z
UID:10075-1623340800-1623346200@www.scienceofintelligence.de
SUMMARY:Talk: Manuel Cebrian\, Max-Planck Institute for Human Development: "Time-critical Social Mobilization"
DESCRIPTION:Title: Time-Critical Social Mobilization \nAbstract: This seminar explores the physical\, behavioral\, and computational limits of crowd-assembly for problem-solving. I follow several real-world experiments where we utilized social media to mobilize the\nmasses in tasks of unprecedented complexity. From finding red weather balloons to locating thieves in distant cities to reconstructing shredded classified documents\, the potential of crowdsourcing is real\, but so are exploitation\, sabotage\, and asymmetric incentives that can undermine the power of crowds. \nBio: Manuel Cebrian is a Max Planck Research Group Leader with the Max Planck Institute for Human Development\, where he develops computational and network preparedness against emergent threats. Previously\, Manuel was a researcher at MIT\, CSIRO\, and the University of California San Diego. His scientific research draws on approaches from the physics of complex systems\, data-driven simulation\, and operations research. \nThe Zoom Link will be sent the day before the lecture. (Contact communication@scioi.de for specific questions)
URL:https://www.scienceofintelligence.de/event/talk-manuel-cebrian-max-planck-institute-for-human-development-time-critical-social-mobilization/
CATEGORIES:For the Public
ATTACH;FMTTYPE=image/png:https://www.scienceofintelligence.de/wp-content/uploads/2021/04/Screen-Shot-2021-04-19-at-09.19.29.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20210617T100000
DTEND;TZID=Europe/Berlin:20210617T110000
DTSTAMP:20260430T232329
CREATED:20210429T080929Z
LAST-MODIFIED:20240813T093732Z
UID:10115-1623924000-1623927600@www.scienceofintelligence.de
SUMMARY:Jose Hernandez-Orallo (Valencia/Cambridge)\, "The Generality of Natural and Artificial Intelligence: Task Difficulty as the Elephant in the Room"
DESCRIPTION:Abstract: Understanding and recreating intelligence is possibly the biggest scientific challenge of our time. Evolution has produced organisms that are highly specialised for some cognitive tasks\, whereas others present what has been called general intelligence\, with humans identified as the paragon. Artificial intelligence (AI)\, despite decades of efforts to achieve generality\, is still specialised. It is a major research question to disentangle the notion of general intelligence\, by clearly determining what generality is and how it can be measured for individuals rather than populations. Under limited resources\, we must overhaul the classical yet misleading interpretation of general intelligence as ‘success in all sorts of situations’ and introduce a new view of generality as ‘comprehensive performance up to a level of difficulty’. The degree of generality then refers to the way an agent’s capability is distributed as a function of task difficulty\, according to environmental and cognitive pressures. This dissects the notion of general intelligence into two non-populational measures\, generality and capability. We interpret and apply these measures with humans\, non-human animals and AI systems. The choice of the difficulty function now plays a prominent role in this new conception of generality\, which brings a quantitative tool for shedding light on long-standing questions about the evolution of general intelligence and the evaluation of progress in Artificial General Intelligence. \nHosted by Dimitri Coelho Mollo \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/thursday-morning-talk-jose-hernandez-orallo-valencia-cambridge-the-generality-of-natural-and-artificial-intelligence-task-difficulty-as-the-elephant-in-the-room/
LOCATION:On Zoom
CATEGORIES:Thursday Morning Talk
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2021/04/J.H.Orallo-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20210617T160000
DTEND;TZID=Europe/Berlin:20210617T173000
DTSTAMP:20260430T232329
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:20210624T160000
DTEND;TZID=Europe/Berlin:20210624T173000
DTSTAMP:20260430T232329
CREATED:20210607T113648Z
LAST-MODIFIED:20250604T095548Z
UID:10284-1624550400-1624555800@www.scienceofintelligence.de
SUMMARY:Kou Murayama (Universität Tübingen)\, “A Reward-Learning Framework of Knowledge Acquisition: How We Can Integrate the Concepts of Curiosity\, Interest\, and Intrinsic-Extrinsic Rewards.”
DESCRIPTION:Recent years have seen a considerable surge of research on interest-based engagement\, examining how and why people are engaged in activities without relying on extrinsic rewards. However\, the field of inquiry has been somewhat segregated into three different research traditions which have been developed relatively independently — research on curiosity\, interest\, and trait curiosity/interest. The current talk sets out an integrative perspective; the reward-learning framework of knowledge acquisition. This conceptual framework takes on the basic premise of existing reward-learning models of information seeking: that knowledge acquisition serves as an inherent reward\, which reinforces people’s information-seeking behavior through a reward-learning process. However\, the framework reveals how the knowledge-acquisition process is sustained and boosted over a long period of time in real-life settings\, allowing us to integrate the different research traditions within reward-learning models. The framework also characterizes the knowledge-acquisition process with four distinct features that are not present in the reward-learning process with extrinsic rewards — (1) cumulativeness\, (2) selectivity\, (3) vulnerability\, and (4) under-appreciation. The talk describes some evidence from our lab supporting these claims. \nHosted by Rebecca Lazarides \nSpeaker website: https://koumurayama.com/people.php \nThe Zoom Link will be sent the day before the lecture. (Contact communication@scioi.de for specific questions)
URL:https://www.scienceofintelligence.de/event/distingushed-speaker-series-kou-murayama-universitat-tubingen-hosted-by-rebecca-lazarides/
LOCATION:On Zoom
CATEGORIES:Distinguished Speaker Series
ATTACH;FMTTYPE=image/png:https://www.scienceofintelligence.de/wp-content/uploads/2021/06/Screenshot-2021-06-07-133959-1.png
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