How Judea Pearl Became One of AI's Sharpest Critics

Re:How Judea Pearl Became One of AI's Sharpest Critics by visarga on Sunday May 20, 2018 @12:28AM (#17111219)

Robot, yes, or a sim. Simulators are like dynamic datasets. The "feedback loop" is also called the scientific method. Propose hypothesis, experiment, refine hypothesis.

People needed thousands of years to put together a few causal concepts about the world. AI would need its playtime too. It's not like a single person can come up with a causal model of the world by himself/herself. Just keep in mind that when comparing human intelligence with AI, so as not to ask of AI what no human can do.

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Re:How Judea Pearl Became One of AI's Sharpest Critics by srean on Sunday May 20, 2018 @04:31AM (#17111830)

There is one catch, if you have written (or have access to the internals of) a simulator that is faithful to what you want to simulate you already have the cause effect things worked out.

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Re:How Judea Pearl Became One of AI's Sharpest Critics by visarga on Wednesday May 23, 2018 @04:25PM (#17137908)

Not necessarily. For Go it is easy to simulate, hard to win. Many other things are easy to simulate at low level but have complex higher order behaviour (such as AutoML and ML graph compilation for GPU). A learning approach based on simulation is capable of finding super-human solutions, given enough compute.

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Re:How Judea Pearl Became One of AI's Sharpest Critics by srean on Friday May 25, 2018 @12:57AM (#17150728)

Oh yes ! You are right. I was not thinking of artificial systems with well defined dynamics.

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