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The work outlines a detailed blueprint for the creation of an
Artificial General Intelligence system with capability at the human
level and ultimately beyond, according to the Cog Prime AGI design
and the Open Cog software architecture.
The work outlines a novel conceptual and theoretical framework for
understanding Artificial General Intelligence and based on this
framework outlines a practical roadmap for the development of AGI
with capability at the human level and ultimately beyond.
The general problem addressed in this book is a large and important
one: how to usefully deal with huge storehouses of complex
information about real-world situations. Every one of the major
modes of interacting with such storehouses - querying, data mining,
data analysis - is addressed by current technologies only in very
limited and unsatisfactory ways. The impact of a solution to this
problem would be huge and pervasive, as the domains of human
pursuit to which such storehouses are acutely relevant is numerous
and rapidly growing. Finally, we give a more detailed treatment of
one potential solution with this class, based on our prior work
with the Probabilistic Logic Networks (PLN) formalism. We show how
PLN can be used to carry out realworld reasoning, by means of a
number of practical examples of reasoning regarding human
activities inreal-world situations.
"Only a small community has concentratedon general intelligence. No
one has tried to make a thinking machine . . . The bottom line is
that we really haven't progressed too far toward a truly
intelligent machine. We have collections of dumb specialists in
small domains; the true majesty of general intelligence still
awaits our attack. . . . We have got to get back to the deepest
questions of AI and general intelligence. . . " -MarvinMinsky as
interviewed in Hal's Legacy, edited by David Stork, 2000. Our goal
in creating this edited volume has been to ?ll an apparent gap in
the scienti?c literature, by providing a coherent presentation of a
body of contemporary research that, in spite of its integral
importance, has hitherto kept a very low pro?le within the
scienti?c and intellectual community. This body of work has not
been given a name before; in this book we christen it "Arti?cial
General Intelligence" (AGI). What distinguishes AGI work from
run-of-the-mill "arti?cial intelligence" research is that it is
explicitly focused on engineering general intelligence in the short
term. We have been active researchers in the AGI ?eld for many
years, and it has been a pleasure to gather together papers from
our colleagues working on related ideas from their own
perspectives. In the Introduction we give a conceptual overview of
the AGI ?eld, and also summarize and interrelate the key ideas of
the papers in the subsequent chapters.
"Only a small community has concentratedon general intelligence. No
one has tried to make a thinking machine . . . The bottom line is
that we really haven't progressed too far toward a truly
intelligent machine. We have collections of dumb specialists in
small domains; the true majesty of general intelligence still
awaits our attack. . . . We have got to get back to the deepest
questions of AI and general intelligence. . . " -MarvinMinsky as
interviewed in Hal's Legacy, edited by David Stork, 2000. Our goal
in creating this edited volume has been to ?ll an apparent gap in
the scienti?c literature, by providing a coherent presentation of a
body of contemporary research that, in spite of its integral
importance, has hitherto kept a very low pro?le within the
scienti?c and intellectual community. This body of work has not
been given a name before; in this book we christen it "Arti?cial
General Intelligence" (AGI). What distinguishes AGI work from
run-of-the-mill "arti?cial intelligence" research is that it is
explicitly focused on engineering general intelligence in the short
term. We have been active researchers in the AGI ?eld for many
years, and it has been a pleasure to gather together papers from
our colleagues working on related ideas from their own
perspectives. In the Introduction we give a conceptual overview of
the AGI ?eld, and also summarize and interrelate the key ideas of
the papers in the subsequent chapters.
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