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PI Lecture

Jörg Raisch (Science of Intelligence), “Efficient Consensus over Wireless Channels & and its Use in Traffic Automation Problems”

MAR 2.057

Consensus algorithms are routinely employed in a variety of multi-agent scenarios. They require that each agent iteratively evaluates a multivariate function of its neighbours’ information states. If a wireless communication channel is used, this is typically implemented through protocols (such as TDMA – Time Division Multiple Access) that avoid superposition of transmitted signals by assigning each transmitter its own

Thursday Morning Talk

Michael Taborsky, “The Evolution of Social Behaviour”

Abstract: The social structure and behaviour of organisms is highly divergent. How can this stunning diversity in nature be explained? I will argue that a few key principles are responsible for the evolution of social behaviour, with all its simple and complex manifestations. Organisms compete for resources. As survival and reproduction require resources and only

Thursday Morning Talk

Santiago Paternain, “Safe Learning for Dynamical Systems and Control”

Abstract: Reinforcement learning has shown great success in controlling complex dynamical systems. However, when training a policy, most algorithms only consider a single objective function. While this may suffice in virtual domains, physical systems must satisfy a set of operational constraints, with safety being of crucial importance. It is natural to express these problems as

Thursday Morning Talk

Lisa-Kristin Richter, “Model Training for Facial Recognition of Raccoons”

MAR 2.057

Machine learning tools have already been used to identify individual animals such as but not limited to pandas, black bears, cows and dogs. These tools can help to improve the quality of non-invasive wildlife monitoring and enhance the information on individual animal behaviour as well as on behaviour within social networks of the animals (Lynn

PI Lecture

Olaf Hellwich (Science of Intelligence), “State Vectors of Computer Vision at Time t=now. Perspectives, Particles and Predictions”

MAR 2.057

We take varying perspectives to the state of the art in Computer Vision: e.g. from SCIoI, disciplinary and interdisciplinary viewpoints. Sampling from the multi-modal state vector distribution, we inspect currently exciting developments: e.g. the integration of computer vision and language processing, the use of biological principles in synthetic systems, and self supervision. Generalizing from the

For the Public

Science of Intelligence Fair 2023

The first conference and exhibition of the Cluster of Excellence Science of Intelligence (SCIoI) in Berlinwas held in September 2023. Leading experts from science and politics, as well as journalists and the broader public came together to discuss the diverse facets of intelligence research. From individual, social, and collective principles of intelligence to the ethics

Thursday Morning Talk

Conor Heins, “Collective behavior from surprise minimization”

MAR 2.057

Abstract:  Collective motion is a familiar sight in nature; groups of distinct, self-propelled individuals appear to move as a coherent whole, exhibiting a rich behavioral repertoire that ranges from directed movement to milling to disordered swarming. Biological collective motion is an emergent phenomenon that is the result of self-organization, whereby macroscopic patterns arise from decentralized,

PI Lecture

Rasha Abdel Rahman (Science of Intelligence), “How intelligent is visual perception?”

MAR 2.057

Abstract: Visual perception is shaped by the input from our physical environment and by expectations derived from our sensory experience with the visual world. But is what we see also influenced by higher cognitive capacities such as memories, language, semantic knowledge or (true or false) beliefs? And if so, what are the consequences on how

PI Lecture

Jens Krause (Science of Intelligence), “Collective Behaviour and Collective Memory”

MAR 2.057

Abstract:  The idea that animal groups can have collective memories has been raised a number of times in different contexts. The information centre hypothesis predicts that communal roosts allow for information exchange between individuals so that successful foragers, for example, can be followed by others to promising sites. A different approach to collective memory has

External Event

Airbound: Sensing Collective Futures

CLB BERLIN Prinzenstraße 84.2, Berlin, Germany

  From molecule to atmosphere: the global climate crisis and the possible futures of our coexistence will be decided by means of air. We are »airbound« – bound through air. How can we create a sense of what is coming? And what will connect us in the future? The exhibition »Airbound« features climate fictions and