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Quick overview of biopolitical points of view




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Machines that Dream: Developing Artificial General Intelligence through AI-Kindergarten

Technological Unemployment and Personal Well-being: Does Work Make Us Happy?

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ieet books

A Dangerous Master: How to Keep Technology from Slipping Beyond Our Control
Author
Wendell Wallach

Artificial Superintelligence: A Futuristic Approach
Roman Yampolskiy

Who Are We?: Religious, Philosophical, Scientific and Transhumanist Theories Of Human Nature
John Messerly

Codebreaking our future: Deciphering The Future’s Hidden Order
Michael Lee


comments

spud100 on 'Technological Unemployment and Personal Well-being: Does Work Make Us Happy?' (Jul 1, 2015)

Eugene on 'I Stand With Peter Singer' (Jul 1, 2015)

Eugene on 'Human Brain 2.0 - what is the most essential upgrade? Increased Rationality, Empathy, or Happiness?' (Jul 1, 2015)

Eugene on 'Is Pope Francis the World’s Most Powerful Transhumanist?' (Jul 1, 2015)

instamatic on 'AI Will Solve Aging - it is a Tool, Not a Threat' (Jun 30, 2015)

Teresa on 'Human Brain 2.0 - what is the most essential upgrade? Increased Rationality, Empathy, or Happiness?' (Jun 30, 2015)

rmk948 on 'Simple Intervention Cuts Unplanned Pregnancy by Half' (Jun 29, 2015)







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Comment on this entry

Machines that Dream: Developing Artificial General Intelligence through AI-Kindergarten


Danko Nikolic


Academia.edu

July 01, 2015

Abstract: Development of artificial general intelligence (AGI) may not be possible exclusively through human-created algorithms. Many aspects of human brain are not understandable to human scientists and engineers. Instead, AGI may require machines to create their own algorithms i.e., machines that learn to learn. It has been proposed that this can be achieved through AI-Kindergarten. In AI-Kindergarten machines are not left alone to figure out on their own the necessary algorithms, but they are heavily guided through human feedback.


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