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Guest Steven Pinker, a linguist and cognitive scientist, discusses artificial intelligence and cognitive science, emphasizing the need for open debates in universities. They also explore the human tendency to catastrophize, the role of emotions in decision-making, and the use of politeness in communication. The speakers question the validity of trusting gut instincts and delve into the significance of gut reactions in decision making processes.
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Quick takeaways
- The computational theory of mind suggests that intelligence comes from information processing in the brain and views thinking as computation with control and feedback mechanisms.
- There are differences between artificial and real neural networks, including the lack of abstract mental representations and symbols for ideas that humans possess, as well as the higher energy consumption required for training artificial networks.
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The Computational Theory of Mind
The computational theory of mind proposes that intelligence comes from information processing in the brain. It suggests that knowledge, perception, and ideas are patterns in the brain that correlate with things in the world. Thinking is viewed as computation, where information is transformed into other forms by physical processes. Control and feedback mechanisms play a role in achieving intelligent behavior.
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