Embodied evolution through self-reproducing machines
Event details
| Date | 09.12.2014 |
| Hour | 11:00 |
| Speaker | Prof. A.E. (Gusz) Eiben, VU Amsterdam |
| Location | |
| Category | Conferences - Seminars |
Evolutionary computing in the general sense is the art of “taming evolution”. After three decades of research we have the know-how of setting up artificial evolutionary processes in digital spaces and evolutionary algorithms have proved their power in solving optimization, design, and modeling problems.
In this talk I outline a vision and a research programme about artificial evolution in physical, rather than digital, spaces. I argue that constructing systems of self-reproducing machines will lead to a new exciting mix of evolutionary computing, robotics, and artificial life with new challenges and opportunities.
On the long term it could have a large impact on other disciplines as well, such as biology or industrial design. Meanwhile, it will also raise fundamental questions regarding the ethics and the social impacts of this future technology.
Bio: I am professor of Computational Intelligence on the VU University Amsterdam and Visiting Professor on the University of York, UK. For the research vision of the Computational Intelligence Group, please click here. My main area of expertise is Evolutionary Computing. I am one of the early birds in Europe; my first Evolutionary Computing paper dates back to 1989 and I co-authored the first comprehensive book on the subject. I have been organizing committee member of practically all major international evolutionary computing conferences, editorial board member of related international journals, and coordinator/participant in several EU research projects.
My research lies in the field of: Artificial Intelligence, Computational Intelligence, Swarm Intelligence, Evolutionary Computing, Evolutionary Robotics, Artificial Life, Adaptive Collective Systems.
In this talk I outline a vision and a research programme about artificial evolution in physical, rather than digital, spaces. I argue that constructing systems of self-reproducing machines will lead to a new exciting mix of evolutionary computing, robotics, and artificial life with new challenges and opportunities.
On the long term it could have a large impact on other disciplines as well, such as biology or industrial design. Meanwhile, it will also raise fundamental questions regarding the ethics and the social impacts of this future technology.
Bio: I am professor of Computational Intelligence on the VU University Amsterdam and Visiting Professor on the University of York, UK. For the research vision of the Computational Intelligence Group, please click here. My main area of expertise is Evolutionary Computing. I am one of the early birds in Europe; my first Evolutionary Computing paper dates back to 1989 and I co-authored the first comprehensive book on the subject. I have been organizing committee member of practically all major international evolutionary computing conferences, editorial board member of related international journals, and coordinator/participant in several EU research projects.
My research lies in the field of: Artificial Intelligence, Computational Intelligence, Swarm Intelligence, Evolutionary Computing, Evolutionary Robotics, Artificial Life, Adaptive Collective Systems.
Links
Practical information
- General public
- Free
Organizer
- NCCR Robotics, LIS