Thursday, November 07, 2019

Daydreaming ... or the art of thinking like a human


HAMLET
Do you see yonder cloud that’s almost in shape of a camel?

POLONIUS
By the mass, and ‘tis like a camel, indeed.

HAMLET
Methinks it is like a weasel.

POLONIUS
It is backed like a weasel.

HAMLET
Or like a whale.

POLONIUS
Very like a whale.

Cloud watching-AKA- daydreaming whereby having a purpose to dream is not the issue, (Save for Hamlet spoofing on Polonius) freeing the mind to think in new ways is, a notion becoming all too real in all things relating to AI.

Evolutionary algorithms have been around for a long time. Traditionally, they’ve been used to solve specific problems. In each generation, the solutions that perform best on some metric — the ability to control a two-legged robot, say — are selected and produce offspring. While these algorithms have seen some successes, they can be more computationally intensive than other approaches such as “deep learning,” which has exploded in popularity in recent years.

The steppingstone principle goes beyond traditional evolutionary approaches. Instead of optimizing for a specific goal, it embraces creative exploration of all possible solutions. By doing so, it has paid off with groundbreaking results. Earlier this year, one system based on the steppingstone principle mastered two video games that had stumped popular machine learning methods. And in a paper published last week in Nature, DeepMind — the artificial intelligence company that pioneered the use of deep learning for problems such as the game of Go — reported success in combining deep learning with the evolution of a diverse population of solutions.

In other words, the start point to thinking like a human.






Independence Day ... for real. :)

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