TED: What intelligent machines can learn from a school of fish | Radhika Nagpal

The speaker shares a snorkeling experience that inspired their career in AI, focusing on collective intelligence. They discuss how AI can learn from natural systems like fish schools, where intelligence emerges from interactions without leaders. The speaker's work involves creating robotic systems that mimic these behaviors, exploring applications in 2D and 3D environments. They envision future robots that can build structures and perform tasks collaboratively. The talk concludes with a reflection on applying these principles to human society, aiming to improve scientific collaboration and societal engagement with technology.

What was the author's initial experience when they first went snorkeling?

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How did the author describe the behavior of the fish they encountered?

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What key theme in artificial intelligence does the author relate to their snorkeling experience?

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What does the author suggest about the intelligence of a fish school compared to an individual fish?

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What are the 'rules of engagement' mentioned in the context of AI and collective behavior?

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How does the author describe the process of programming robots to exhibit collective intelligence?

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What examples does the author provide for potential applications of collective robotic behavior?

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How does the author relate the concept of collective intelligence to the field of science?

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In what ways does the author believe we can improve our own human collective intelligence?

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What vision does the author have for the future of technology and society?

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