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Welcome to the Convergent Science Network Podcast!
During the BCBT Summerschools (2010, 2011, 2012, 2013, 2014) hosting professors Paul Verschure and Tony Prescott interviewed several speakers after their lectures. Interviews are also conducted on other occasions with various scientist in converging fields.
About the hosts: Paul Verschure is ICREA Professor at SPECS, Universitat Pompeu Fabra, Barcelona; Tony Prescott is Professor of Cognitive Neuroscience, University of Sheffield.
The Convergent Science Network of biomimetic and biohybrid systems (CSN, www.csnetwork.eu) is a coordination action for the development of future real-world technologies. CSN is supported through the Future and Emerging Technology programs (FET) of the Information and Communication Technologies (ICT) work programme of Framework Programme 7 of the European Commission.
Audio (post-)production: Sytse Wierenga. Podcast site: Alberto Betella.
Thoughts, discussions, and achievements in neurobiology, biomimetic and biohybrid systems
We can learn a lot from brains and bodies when making machines and robots. But reversely, building complex machine systems can also give ideas about how brains and bodies have implemented their functioning over the evolution of ages. This podcast discusses various themes and aspects in-between robotics, neuroscience, cognitive science, artificial intelligence, biology, and technology.
Interview Daniel Polani
05-04-2018
We start with the question how evolution can be optimized in the sense that certain sensors would appear favored over others given the niche and phenotype of an organism. The discussion focusses on Daniel’s notion of empowerment which reflects the idea that organisms use their actions to optimize “relevant” information. Daniel describes how this approach is investigated and has given rise to novel algorithms for control. From here Daniel and Paul look at the generalization of these concepts.
Categories | Cognition | Learning and Adaptation
Filetype: MP3 - Size: 174.97MB - Duration: 1:36:16 m (254 kbps 44100 Hz)
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