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Natural General Intelligence - How understanding the brain can help us build AI (Hardcover)
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Natural General Intelligence - How understanding the brain can help us build AI (Hardcover)
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Since the time of Turing, computer scientists have dreamed of
building artificial general intelligence (AGI) - a system that can
think, learn and act as humans do. Over recent years, the
remarkable pace of progress in machine learning research has
reawakened discussions about AGI. But what would a generally
intelligent agent be able to do? What algorithms, architectures, or
cognitive functions would it need? To answer these questions, we
turn to the study of natural intelligence. Humans (and many other
animals) have evolved precisely the sorts of generality of function
that AI researchers see as the defining hallmark of intelligence.
The fields of cognitive science and neuroscience have provided us
with a language for describing the ingredients of natural
intelligence in terms of computational mechanisms and cognitive
functions and studied their implementation in neural circuits.
Natural General Intelligence describes the algorithms and
architectures that are driving progress in AI research in this
language, by comparing current AI systems and biological brains
side by side. In doing so, it addresses deep conceptual issues
concerning how perceptual, memory and control systems work, and
discusses the language in which we think and the structure of our
knowledge. It also grapples with longstanding controversies about
the nature of intelligence, and whether AI researchers should look
to biology for inspiration. Ultimately, Summerfield aims to provide
a bridge between the theories of those who study biological brains
and the practice of those who are seeking to build artificial
brains.
General
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