What does the swarm know?
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| 5 EUR, reduced 2,50 EUR |
| Book your ticket in advance online or at the box office in the Foyer. |
| Following the event, there will be the opportunity to visit the exhibition "After Nature" in the Humboldt Lab. |
| Duration: 75 min |
| German |
| Ground Floor, Hall 2 |
| Part of: WeSearch |
Animal, human or robotic: the goal of the Science of Intelligence Cluster of Excellence is to develop an understanding of the fundamental principles of intelligence – regardless of whether biological or artificial intelligence. The unifying element is the search for intelligent behaviour capable of overcoming real-world challenges.
Researchers in this cluster are looking for ways to use an understanding of these principles to develop new smart technologies. This research benefits greatly from an interdisciplinary approach that brings together different disciplines such as biology, psychology and robotics. A crucial part of this research is to explore intelligence in a way that subjects technological development to ethical scrutiny, even during its creation process. How can we act to identify and prevent unforeseen developments at an early stage – for example, the emergence of an artificial intelligence that makes unethical decisions? Ethical guidelines for the development of artificial intelligence are a subject of heated debate currently in our society, and one of the urgent concerns of the Cluster of Excellence is to contribute new ethical approaches, to test them in application and to develop them further.
Contributors
is a behavioural biologist specialising in research into swarm intelligence. Together with his research team at Science of Intelligence, he has developed a robotic fish that is recognised by live fish as a member of their species. The robotic fish is assisting their research into fundamental principles of collective behaviour and collective cognition.
is a psychologist and cognitive neuroscientist specialising in computer modelling. Within the Cluster of Excellence she is working on a PhD project modelling the movements of fish individually and in pairs to identify strategies that can be transferred to various robotic platforms.
works in the cross-disciplinary areas of behavioural biology, theoretical biology and (bio-)physics. He researches the mechanisms and principles by which a large number of individuals can form a swarm and make intelligent decisions together. Within the Science of Intelligence Cluster of Excellence, he combines investigating natural collective intelligence with developing artificial systems such as intelligent robotic swarms.