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Intelligence Emerging: Adaptivity and Search…

Intelligence Emerging: Adaptivity and Search in Evolving Neural Systems

by Keith L. Downing

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Amazon.com Product Description (ISBN 0262029138, Hardcover)

Emergence -- the formation of global patterns from solely local
interactions -- is a frequent and fascinating theme in the scientific literature
both popular and academic. In this book, Keith Downing undertakes a systematic
investigation of the widespread (if often vague) claim that intelligence is an
emergent phenomenon. Downing focuses on neural networks, both natural and
artificial, and how their adaptability in three time frames -- phylogenetic
(evolutionary), ontogenetic (developmental), and epigenetic (lifetime learning) --
underlie the emergence of cognition. Integrating the perspectives of evolutionary
biology, neuroscience, and artificial intelligence, Downing provides a series of
concrete examples of neurocognitive emergence. Doing so, he offers a new motivation
for the expanded use of bio-inspired concepts in artificial intelligence (AI), in
the subfield known as Bio-AI.

One of Downing's central claims is
that two key concepts from traditional AI, search and representation, are key to
understanding emergent intelligence as well. He first offers introductory chapters
on five core concepts: emergent phenomena, formal search processes, representational
issues in Bio-AI, artificial neural networks (ANNs), and evolutionary algorithms
(EAs). Intermediate chapters delve deeper into search, representation, and emergence
in ANNs, EAs, and evolving brains. Finally, advanced chapters on evolving artificial
neural networks and information-theoretic approaches to assessing emergence in
neural systems synthesize earlier topics to provide some perspective, predictions,
and pointers for the future of Bio-AI.

(retrieved from Amazon Thu, 11 Feb 2016 04:10:42 -0500)

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