Rebecca Lazarides (Science of Intelligence), “Adaptivity in social interaction”
MAR 2.057More details to follow. This talk will take place in person at SCIoI (room 2.057).
More details to follow. This talk will take place in person at SCIoI (room 2.057).
In this talk, Asieh will explore the dynamics of decision-making and risk-taking within social contexts and how everyday decisions, often laden with potential negative outcomes, are influenced not only by individual judgment but significantly by the surrounding social environment. Her research employs the "Balloon Analogue Risk-Taking" experiment in a controlled setting applying VR-technology in order
Abstract: How do we reconcile the extraordinary success of the human species with the apparent stupidity of people and organizations? How can we understand the transformation of humans from foraging apes to urban clerks, without any appreciable change in physiology? No one has definitive answers to these questions, but we begin to answer them by
Behavior, Personality, and Affective States of Freely Behaving Groups of Mice and Other Animals In recent years, the study of animal behavior in neuroscience has seen a significant shift towards more naturalistic and less intrusive methods. It is under these conditions that the true spectrum of animal behavior can be exhibited, free from the artificial
More details to follow. This talk will take place in person at SCIoI (room 2.057).
Stefan Leutgeb is Professor of Neurobiology at University of California San Diego. Currently a fellow of the Wissenschaftskolleg zu Berlin with his research on neural computations in real brains and in artificial systems. More details to follow. This talk will take place in person at SCIoI. Photo by Alina Grubnyak on Unsplash.
Abstract: Originating from the connectionist movement of cognitive science, deep neural networks (DNNs) have had tremendous influence on artificial intelligence, operating at the core of today’s most powerful applications. At the same time, cognitive computational neuroscientists have recognised their promise to act as “Goldilocks” models of brain function: DNNs are grounded in sensory data, can
Abstract The impressive evolution that artificial intelligence, virtual reality, and robotics have recently undergone reached a point where it is now possible to fuse these technologies and create another body for the self. This possibility poses new questions at the core of embodied intelligence. In this talk I will examine a few of the technical,
Abstract: Humans often must respond quickly to events happening in their environment. To support fast perception and action, the brain has evolved a warning system. Warning stimuli are used to elicit a transient state of readiness for perception and action (phasic alertness) that results in faster perceptual processing and faster decision-making for action. Phasic alertenss
Onur Güntürkün is regarded as a pioneer of biologically based psychology. The aim of his work is to find out how perception, thought and action arise in the brain. He is interested in diverse topics, such as motor learning, fear, risk-taking behavior and even kissing. In his research, Güntürkün combines psychological, biological and neuroanatomical aspects
In this talk I introduce Digital Mental Models (DMMs) as a novel cognitive capability of AI-powered and cognition-enabled robots. By combining digital twin technology with symbolic knowledge representation and embodying this combination into robots, we tackle the challenge of converting vague task requests into specific robot actions, that is robot motions that cause desired physical
Abstract: Social inequalities -- structured and recurrent patterns of unequal distribution of wealth, opportunities, and rewards -- are on the rise, and quick-fix, top-down approaches are failing. Structural inequality is one of the important manifestations of social inequalities in which institutions, policies, and societies create systems of privilege that are structural barriers to equality and