Some challenges and grand challenges for computational intelligence

@article{Feigenbaum2003SomeCA,
  title={Some challenges and grand challenges for computational intelligence},
  author={Edward A. Feigenbaum},
  journal={J. ACM},
  year={2003},
  volume={50},
  pages={32-40}
}
When the terms “intelligence” or “intelligent” are used by scientists, they are referring to a large collection of human cognitive behaviors— people thinking. When life scientists speak of the intelligence of animals, they are asking us to call to mind a set of human behaviors that they are asserting the animals are (or are not) capable of. When computer scientists speak of artificial intelligence, machine intelligence, intelligent agents, or (as I chose to do in the title of this essay… 
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References

SHOWING 1-10 OF 13 REFERENCES
What next?: A dozen information-technology research goals
TLDR
This talk defines a set of fundamental research problems that broaden the Babbage, Bush, and Turing visions to include highly-secure, highlyavailable, self-programming,self-managing, and self-replicating systems.
Artificial intelligence, language, and the study of knowledge
TLDR
The view that intelligence is based on the ability to use large amounts of diverse kinds of knowledge in procedural ways, rather than on the possession of a few general and uniform principles is developed.
Computing Machinery and Intelligence
  • A. Turing
  • Philosophy
    The Philosophy of Artificial Intelligence
  • 1950
TLDR
The question, “Can machines think?” is considered, and the question is replaced by another, which is closely related to it and is expressed in relatively unambiguous words.
Why we’re so smart
Breaking the Code
Breaking the code
...
...