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rom different perspectives may be grouped into CompositeTruthValue objects. • Universal Intelligence: A technical term introduced by Shane Legg and Marcus Hutter, describing (roughly speaking) the average capability of a system to carry out computable goals in computable environments, where goal/environment
for Computational Linguistics. Mih07. Rada Nlihalcea. Wand sense disambiguation. Encyclopedia of Machine Learning. Springer-Verlag, 2007. Min88. Marvin Minsky. The Society of Mind. MIT Press, 1988. Mit96. Steven !Althorn The Prehistory of Mind. Thames and Hudson, 1996. MS99. Christopher Manning and Hein
rigor. Perhaps the most carefully- wrought formalization of intelligence so far is the theory of “universal intelligence” presented by Shane Legg and Marcus Hutter in [LI07b], which draws on ideas from algorithmic information theory. Universal intelligence captures a certain aspect of the “intelligence” concept
hly specific theories of intelligence, and hence have attracted only moderate interest from researchers not adhering to those theories. An example is Minsky’s work presented in The Emotion Machine [Min07], which arguably does constitute an architecture diagram for the human mind, but which is only loosely
from different perspectives may be grouped into CompositeTruthValue objects. e Universal Intelligence: A technical term introduced by Shane Legg and Marcus Hutter, describing (roughly speaking) the average capability of a system to carry out computable goals in computable environments, where goal/environment pa
. Bill McKibben. Enough: Staying Human in an Engineered Age. Saint Martins Griffin, 2003. et04. Thomas Metzinger. Being No One. Bradford, 2004. in88. Marvin Minsky. The Society of Mind. MIT Press, 1988. inO7. Marvin Minsky. The Emotion Machine. 2007. KO7. Joseph Modayil and Benjamin Kuipers. Autonomous developme
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Stephen Hawking
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Lawrence Krauss
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Prince Andrew
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Marc Rich
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Jared Kushner
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Harvard University
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MIT Press
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