PI Lecture

Max Wolf, “Fishy twin studies and the origin of personality differences”

Abstract: I will discuss research on a powerful biological model system, the natural clonal fish Amazon molly. Mothers in this female-only species produce genetically identical offspring, allowing us to employ an experimental twin study approach to address some of the most fundamental questions associated with behaviour and the development of behaviour. Do twins separated directly

PI Lecture

Pawel Romanczuk, “Modeling of flocking & swarming with stochastic agent-based models”

Abstract: Collective behavior, as exhibited by bird flocks, fish schools or insect swarms, is a fascinating example of self-organized behavior in biology. Mathematical models of flocking were key for the development of our current understanding on how complex complex group-level behaviors may emerge from simple local rules of interaction of close-by individuals. In this lecture

PI Lecture

Linda Onnasch (HU), “Effects of Anthropomorphism on Trust and Behavior in work-related HRI”

Abstract:   Anthropomorphic robot features are intended to trigger the activation of social scripts from human-human interaction, thereby offering an intuitive approach to interact with robots. Whereas this seems to be a valid design option for the social domain leading to an increased acceptance of robots, trust and willingness to interact, other domains of human-robot interaction

PI Lecture

SCIoI Open Day 2022 (hybrid event)

This Thursday 15 September (2-5pm) is SCIoI’s Open Day! On this day, SCIoI offers visitors the chance to catch a glimpse of our cluster, its activities, and open positions. During our Open Day, prospective applicants as well as other interested persons can visit the cluster, have a (virtual or physical) look around the spaces and

PI Lecture

Jens Krause (HU Berlin), “Mexican Waves: The Adaptive Value of Collective Behaviour”.

Abstract The collective behaviour of animals has attracted considerable attention in recent years, with many studies exploring how local interactions between individuals can give rise to global group properties. The functional aspects of collective behaviour are less well studied, especially in the field and relatively few studies have investigated the adaptive benefits of collective behaviour

PI Lecture

Klaus Obermayer (Science of Intelligence), “Computational Models of Electric Field Effects and Optimal Control of Neurons and Neural Populations”

Abstract: The brain is a complex dynamical system with processes operating on different spatial scales. At the macroscopic end one observes global dynamical phenomena, which are called „brain states“ and which are often acompanied by oscillations in different frequency bands or by specific functional connectivity patterns between populations of neuron. A common hypothesis states, that

PI Lecture

Marcel Brass (Science of Intelligence), “Social agency”

MAR 2.057

Abstract: Sense of agency (SOA) refers to the experience of controlling one’s own actions and corresponding effects. Social agency refers to SOA in situations where other social agents are involved. This can refer to situations in which we act together or in the presence of other agents or to situations where we control the behaviour

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

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