It’s now time to make the first suggestion about philosophy of mind.
I would like to recommend this book by Jeff Hawkins, in which the author tries to create a theory about the neocortex.
In order to develop artificial intelligence further, it would be important to have a formal and quantitative way to measure intelligence of an agent, being it a human or a machine.
The most famous test for artificial intelligence is the so-called Turing Test, in which “a human judge engages in a natural language conversation with one human and one machine, each of which try to appear human; if the judge cannot reliably tell which is which, then the machine is said to pass the test”. There is even a competition, the Loebner Prize which really evaluates different chatbots and choses the one who most resembles a human.
However, after more than 50 years, we are still not able to solve some tasks that humans do without any apparent effort (such as distinguishing a dog from a cat or a horse in any kind of picture). Many frustrating results mark the history of AI: low quality of (early) machine translation systems, lack of robustness of speech recognition and computer vision systems, etc.
The so called “AI winter” is generally perceived to be finished by now, since many researchers have new hopes on building Artificial General Intelligence. Recent contributions from both neuroscience and theoretical computer science were decisive to create this optimism.
Here is a book edited by Ben Goertzel and Cassio Pennachin putting together several of the different renewed ideas.
As I read it, I will post comments on individual chapters concerning different approaches to AGI.
This podcast is produced at the Laboratory of Intelligent Systems, EPFL, Lausanne, Switzerland and it comes out every two weeks.
Welcome to the blog where you can find ideas, comments and reviews about Artificial Intelligence, Robotics, Neuroscience, Consciousness and Philosophy of Mind.
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