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For the Public

Berlin Science Week Talk, David Bierbach: Just Be Yourself! How Individual Differences Shape Collective Behavior. Using a Robotic Fish To Understand Collective Behavior

Naturkundemuseum

Do genetically identical individuals living in the same environment develop identical behaviors? And what role does individuality play in shaping the collective behavior of a flock of birds or a school of fish? In this talk, David Bierbach will present results from fascinating experiments with a clonal fish, the Amazon molly (Poecilia formosa), to test whether near-identical

For the Public

Berlin Science Week Talk, Ralf Kurvers and Pawel Romanczuk: Collective Intelligence or Collective Stupidity? From Fish Schools to Human Groups. Exploring swarm intelligence in fish and humans

On Zoom

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. In this talk, David Bierbach will present results from fascinating experiments with a clonal fish, the Amazon

For the Public

Berlin Science Week Talk, Fritz Francisco: Why Behaviour? Why We Behave the Way We Do

On Zoom

From French photographers, Austrian naturalists and English adventurers – all have been equally fascinated by the way we are affected by, and interact with our surroundings. It is the intricate interplay between self and others, known and unknown, present and future that makes behaviour so hard to grasp and exciting to study. Ethology, the study

For the Public

What Does the Swarm Know? Collective Intelligence Explained at the HU Lab’s MitWissenschaft Event

Humboldt Forum

As part of the events linked to the exhibition Nach der Natur at the Humboldt Forum, on 25 November at 7pm cluster members Jens Krause, Lea Musiolek, and Pawel Romanczuk will take part in an exciting discussion on the meaning, the study, and the challenges of collective intelligence, bringing great examples and fascinating materials. How

Thursday Morning Talk

Kate Storrs (Justus Liebig University, Giessen), “Modelling Mid-Level Vision With Unsupervised Learning”

On Zoom

Abstract: Models of vision have come far in the past 10 years. Deep neural networks can recognise objects with near-human accuracy, and predict brain activity in high-level visual regions. However, most networks require supervised training using ground-truth labels for millions of images, whereas brains must somehow learn from sensory experience alone. We have been using

Alice Von Auersperg (University of Veterinary Medicine Vienna), “Breaking New Ground: Innovation in Birds, Primates and Human Infants”

Breaking new ground: innovation in birds, primates and human infants  Novel behaviors that suddenly appear either as a solution to a new problem or as an alternative way to solve an existing problem allow humans and animals to deal with environmental challenges and to create new opportunities. They are thus key ingredients for developing advanced problem-solving abilities. In order

Thursday Morning Talk

Eric J. Johnson (Columbia University, US), “Can We Improve Choices by Changing How Choices Are Posed?”

On Zoom

Abstract: Choice architecture suggests that much of what we decide is influenced by that options are presented. This means that the choice environment can encode intelligence that will help (or can hurt) the decision maker. The talk will start by reviewing some results from choice architecture and describe how the environment can affect choice through

Thursday Morning Talk

Romain Couillet (University Grenoble-Alps, France), “Random Matrices Could Steer the Dangerous Path Taken by AI but Even That Is Likely Not Enough”

On Zoom

Abstract: Like most of our technologies today, AI dramatically increases the world's carbon footprint, thereby strengthening the severity of the coming downfall of life on the planet. In this talk, I propose that recent advances in large dimensional mathematics, and especially random matrices, could help AI engage in the future economic growth. This being said,

Thursday Morning Talk

Lars Chittka (Queen Mary, University of London), “The Mind of a Bee”

TU Berlin

Abstract: Bees have a diverse instinctual repertoire that exceeds in complexity that of most vertebrates. This repertoire allows the social organisation of such feats as the construction of precisely hexagonal honeycombs, an exact climate control system inside their home, the provision of the hive with commodities that must be harvested over a large territory (nectar,

Thursday Morning Talk

Elke Weber (Princeton University), “Personal and Social Information Search and Integration for Intelligent Decisions on Climate Action”

On Zoom

Abstract: Some of my past and current research looks at "decisions from  experience,” i.e., decisions based on the personally experienced outcomes of past choices, along the lines of reinforcement learning models and how such learning and updating is related to and differs from the way in which people and other intelligent agents use other sources of information,