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DTSTART;TZID=Europe/Berlin:20200109T100000
DTEND;TZID=Europe/Berlin:20200109T110000
DTSTAMP:20260502T005108
CREATED:20200106T112729Z
LAST-MODIFIED:20200106T112729Z
UID:6493-1578564000-1578567600@www.scienceofintelligence.de
SUMMARY:Internal Models and Predictive Coding from a Robotics and Cognitive Science Perspective: Prof. Bruno Lara and Dr. Alejandra Ciria
DESCRIPTION:Prof. Bruno Lara (Cognitive Robotics\, UAEM\, Mexico) and Dr. Alejandra Ciria (Cognitive Psychology\, UNAM\, Mexico) will give a presentation on their research on internal models and predictive coding from a Robotics and Cognitive Science perspective. They are currently visiting researchers at the Adaptive Systems Group at HU Berlin with an Alexander-von-Humboldt Fellowship.\nAbstract: \nA cognitive system can be conceived as one which fulfills its goals anticipating the causes of its sensations by containing a predictive model of itself and its environment to select and guide action. During the last years\, our research has focused on the issues of Internal Models\, anticipation and multimodal representations within this framework. We have developed a number of systems that successfully make use of these concepts in the production of coherent behavior. Now\, our main research interest is the study of predictions and how these can be learned by an agent taking into account the specific dynamics of its internal states. Special interest lays in the impact these dynamics bring into the learning capabilities and the interactions with the world of an agent. How does an artificial agent decide what is the relevant information to learn during its interactions with the world? Predicting future states accurately while seeking unanticipated novel states are competing pressures within an agent. We believe that these competing pressures should be resolved by tracking the prediction error dynamics of its internal states. An artificial agent endowed with this mechanism should be able to decide and plan its future actions in accordance with the proper type of novelty given its current knowledge and capabilities. Therefore\, an artificial agent should be intrinsically motivated to select actions given its epistemic value providing the capability of open-ended learning. \nBruno Lara is a Professor at the Universidad Autónoma del Estado de Morelos (UAEM) and the Head of the Cognitive Robotics Lab at the Science Research Center at the UAEM since 2005. He holds a PhD in Mechatronics from King’s\nCollege London. He did a postdoc in the TheoriLabor in the University of Jena\, working on evolutionary robotics\, and then a postdoc at the Max Planck Institute for Psychology Research in Munich\, focusing on research on Cognitive\nRobotics. In 2011\, he spent a sabbatical stay in the Cognitive Robotics Lab at the Humboldt- Universitat zu Berlin. He is an Alexander von Humboldt Fellow.\nHis research interests include internal models\, prediction\, sensorimotor representations\, and evolutionary robotics. \nAlejandra Ciria is a postdoctoral researcher at the Humboldt-Universität zu Berlin\, Department of Computer Science in the Adaptive Systems Group\, Germany\, Berlin (Alexander von Humboldt Foundation\, Special Alumni Sponsorship\, 2019).\nShe obtained a Master’s Degree in Cognitive Sciences in 2013 at the UAEM\, Morelos\, México.\nShe then studied a Ph.D. in Experimental Psychology at the Faculty of Psychology\, UNAM\, México\, graduating in 2019.\nSince 2011\, she is an active member of the Cognitive Robotics Lab at the CInC-UAEM\, México.\nHer research focuses on computational modeling under the predictive processing framework\, as well as the study of prediction error dynamics as a self-regulating mechanism.\nAlejandra ́s research interests are centered in Psychophysics\, Experimental Psychology\, Cognitive Robotics\, and Cognitive Sciences.
URL:https://www.scienceofintelligence.de/event/internal-models-and-predictive-coding-from-a-robotics-and-cognitive-science-perspective-prof-bruno-lara-and-dr-alejandra-ciria/
LOCATION:MAR23 5.006\, Marchstraße 23\, Berlin\, 10587\, Germany
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DTSTART;TZID=Europe/Berlin:20200109T160000
DTEND;TZID=Europe/Berlin:20200109T173000
DTSTAMP:20260502T005108
CREATED:20200106T151722Z
LAST-MODIFIED:20240813T105953Z
UID:6500-1578585600-1578591000@www.scienceofintelligence.de
SUMMARY:Guillermo Gallego (SCIoI):  "Spatial AI and Event-based Vision"
DESCRIPTION:PI Lecture Series –  “Spatial AI and Event-based Vision”\nProf. Dr. Guillermo Gallego \nRobotic Interactive Perception Group\, TU Berlin
URL:https://www.scienceofintelligence.de/event/pi-lecture-series-guillermo-gallego/
LOCATION:FH 315\, Fraunhoferstraße 33-36\, Berlin\, 10587
CATEGORIES:PI Lecture
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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200114T083000
DTEND;TZID=Europe/Berlin:20200115T183000
DTSTAMP:20260502T005108
CREATED:20200103T105023Z
LAST-MODIFIED:20200103T105023Z
UID:6487-1578990600-1579113000@www.scienceofintelligence.de
SUMMARY:Admissions 2020
DESCRIPTION:Symposium and Interviews for prospective (post)doctoral researchers.
URL:https://www.scienceofintelligence.de/event/admissions-2020/
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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200117T193000
DTEND;TZID=Europe/Berlin:20200117T203000
DTSTAMP:20260502T005108
CREATED:20200102T110049Z
LAST-MODIFIED:20240813T105942Z
UID:6473-1579289400-1579293000@www.scienceofintelligence.de
SUMMARY:Wissenschaft im Sauriersaal - Lecture by Prof. Jens Krause (SCIoI) (in German)
DESCRIPTION:On SCIoI faculty member Professor Jens Krause will open this year’s lecture series with a talk on swarm intelligence:\n \n“Ob Mensch oder Tier: Warum der Schwarm intelligenter ist als der Einzelne”.\nThe lecture is in German. \nLink to event page here \nPhoto by: Rodrigo Friscione Wyssmann
URL:https://www.scienceofintelligence.de/event/wissenschaft-im-sauriersaal-lecture-by-prof-jens-krause-in-german/
LOCATION:Naturkundemuseum
CATEGORIES:PI Lecture
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2020/01/Krause_Sauriersaal_single.jpg
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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200118T200000
DTEND;TZID=Europe/Berlin:20200118T210000
DTSTAMP:20260502T005108
CREATED:20200108T104900Z
LAST-MODIFIED:20200108T104900Z
UID:6510-1579377600-1579381200@www.scienceofintelligence.de
SUMMARY:Salon Sophie Charlotte 2020 - Talk with Miriam Kyselo: Wie kommt die Welt in meinem Kopf? (in German)
DESCRIPTION:SCIoI faculty member Miriam Kyselo and philosopher Joerg Fingerhut (Einstein Group „Consciousness\, Emotions\, Values“) take part in a discussion chaired by Andreas Sentker (the ZEIT-Wissen chief editor) about the role of the brain and the body\, but also of cultural artifacts\, in the creation of the world. The talk (in German) is part of the Salon Sophie Charlotte 2020 (https://salon.bbaw.de/home/programm/raum-327/)
URL:https://www.scienceofintelligence.de/event/salon-sophie-charlotte-2020-talk-wie-kommt-die-welt-in-meinem-kopf/
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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20200123T160000
DTEND;TZID=Europe/Berlin:20200123T173000
DTSTAMP:20260502T005108
CREATED:20200120T102551Z
LAST-MODIFIED:20250604T102703Z
UID:6524-1579795200-1579800600@www.scienceofintelligence.de
SUMMARY:Alex Kacelnik (University of Oxford): What Are Minds for\, and How Do They Work?
DESCRIPTION:PI Lecture Series\nAbstract: \nThe biological perspective on intelligence is well represented by the following quotes: “Is it not reasonable to anticipate that our understanding \nof the human mind would be aided greatly by knowing the purpose for which it was designed?” (George Williams) and “Everybody is a genius. \nBut if you judge a fish by its ability to climb trees\, it will live its whole life believing that it is stupid” (Albert Einstein). \nMeanwhile\, those working on synthetic approaches to intelligence are often inspired by Richard Feynman’s claim that “What I cannot create\, I do not understand”. \nThese quotes embody useful and inspiring questions for research on intelligence: why does it evolve\, how specific is it\, and to what extent can theoretical models \nthat we create behave intelligently. I will describe studies of animal intelligent behaviour and our attempts to understand it. \n  \nAlex Kacelnik FRS is a behavioural ecologist that works on animal behaviour and its underlying psychological mechanisms. \nHis research includes studies of decision making\, learning and memory in birds\, mammals\, insects and other animals. \nIn SCioI he collaborates with Oliver Brock and Alice Auersperg in research on intelligence in cockatoos and its emulation in artificial systems. \nHe is also is a member and promotor of the Oxford-Berlin partnership.
URL:https://www.scienceofintelligence.de/event/pi-lecture-series-alex-kacelnik-university-of-oxford/
LOCATION:MAR23 4.064\, Marchstraße 23\, Berlin\, 10587\, Germany
CATEGORIES:PI Lecture
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