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DTSTART;TZID=Europe/Berlin:20250703T100000
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CREATED:20250429T085710Z
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SUMMARY:Raina Zakir (Université Libre De Bruxelles)\, “Robust Decision-Making in Minimalistic Robot Swarms Under Social Noise”
DESCRIPTION:Abstract \nMinimalistic robot swarms hold great promise for applications in healthcare\, disaster response\, and environmental monitoring. A key challenge lies in enabling these robots to rapidly and reliably reach consensus using limited communication\, computation\, and memory. In this talk\, we explore how robot swarms can collectively identify the best among multiple discrete options in their environment. We analyze and compare several prominent decision-making algorithms through both simulations and theoretical modeling. Particular attention is given to how asocial behaviors—introducing social noise—affect convergence and robustness. Our results offer insights into designing simple yet effective voting rules for robust consensus in decentralized swarm systems. \nImage created with DALL-E by Maria Ott.
URL:https://www.scienceofintelligence.de/event/raina-zakir-universite-libre-de-bruxelles/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Thursday Morning Talk
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DTSTART;TZID=Europe/Berlin:20250717T100000
DTEND;TZID=Europe/Berlin:20250717T100000
DTSTAMP:20260408T042034
CREATED:20250623T124834Z
LAST-MODIFIED:20250716T123207Z
UID:25730-1752746400-1752746400@www.scienceofintelligence.de
SUMMARY:Matthias Nau (Vrije Universiteit Amsterdam)\, "Revealing General Principles Underlying Active Vision and Memory"
DESCRIPTION:Abstract:\nCognitive neuroscience seeks theories that jointly explain behavioral\, neural\, and mental states. The dominant approach is to use specialized tasks designed to optimally probe a concept of interest (e.g.\, episodic memory)\, and to disentangle behavioral\, sensory\, and mnemonic factors through design (e.g.\, by constraining gaze during image recognition). I will present an alternative framework that instead recognizes that concepts such as perception\, memory\, and action are often inextricable\, both theoretically and empirically\, which I demonstrate for example by showing that brain activity during movie viewing and recall is linked through eye movements. I will argue that new generalizable concepts are needed to explain phenomena across domains\, and outline how such concepts may be empirically derived through multi-task studies: by testing generalization of results across tasks and data modalities\, we reveal the mutual constraints task demands impose on behavioral\, neural\, and mental states. In this context\, I will also highlight the importance of ‘naturalistic’ tasks and behavioral tracking for cognitive neuroscience\, and briefly introduce open-source tools for camera-free MR-based eye tracking. \nImage created by Maria Ott with DALL-E.
URL:https://www.scienceofintelligence.de/event/matthias-nau-vrije-universiteit-amsterdam/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Thursday Morning Talk
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DTSTART;TZID=Europe/Berlin:20250724T100000
DTEND;TZID=Europe/Berlin:20250724T110000
DTSTAMP:20260408T042034
CREATED:20250616T105829Z
LAST-MODIFIED:20250723T143455Z
UID:25596-1753351200-1753354800@www.scienceofintelligence.de
SUMMARY:POSTPONED: Alican Mertan (University of Vermont)\, "Morphological Cognition: Evolving Robots Exhibiting Cognitive Behavior without Abstract Controllers"
DESCRIPTION:With the rise of modern deep learning\, neural networks have become an essential part of virtually every artificial intelligence system\, making it difficult to imagine different models for intelligent behavior. In contrast\, nature provides us with many different mechanisms for intelligent behavior\, most of which we have yet to utilize. One such underinvestigated aspect of intelligence is embodiment and the role it plays in intelligent behavior. We suspect that “the unreasonable effectiveness of deep learning” overshadowed the investigation into what bodies mean for intelligence\, especially how they can be a source of intelligent behavior\, as opposed to passively participating in its display.\nTo investigate how bodies alone give rise to intelligent behavior\, we suggest treating bodies not just as an aid to the brain\, but also studying them as doing full cognitive behavior end-to-end. We term such robots that demonstrate cognitive behaviors without an abstract control layer as possessing “morphological cognition”. I will present our initial work on morphological cognition\, where we use simple shape-changing processes to create robots that can perform a range of tasks from locomotion to image classification without any abstract controller (i.e.\, no neural network). \n  \nImage created by Maria Ott with DALL-E
URL:https://www.scienceofintelligence.de/event/alican-mertan-university-of-vermont-morphological-cognition-evolving-robots-exhibiting-cognitive-behavior-without-abstract-controllers/
LOCATION:SCIoI\, Marchstraße 23\, 10587 Berlin\, Room 2.057
CATEGORIES:Thursday Morning Talk
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