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Convergent Science Network Podcast
Convergent Science Network: by Prof. Paul Verschure
101 episodes
6 months ago
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.
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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.
Show more...
Courses
Education
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Interview Daniel Polani
Convergent Science Network Podcast
1 hour 36 minutes 16 seconds
7 years ago
Interview Daniel Polani

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.

Convergent Science Network Podcast
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.