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Optimality in Biological and Artificial Networks? (Hardcover)
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Optimality in Biological and Artificial Networks? (Hardcover)
Series: INNS Series of Texts, Monographs, and Proceedings Series
Expected to ship within 10 - 15 working days
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This book is the third in a series based on conferences sponsored
by the Metroplex Institute for Neural Dynamics, an
interdisciplinary organization of neural network professionals in
academia and industry. The topics selected are of broad interest to
both those interested in designing machines to perform intelligent
functions and those interested in studying how these functions are
actually performed by living organisms and generate discussion of
basic and controversial issues in the study of mind.
The topic of optimality was chosen because it has provoked
considerable discussion and controversy in many different academic
fields. There are several aspects to the issue of optimality.
First, is it true that actual behavior and cognitive functions of
living animals, including humans, can be considered as optimal in
some sense? Second, what is the utility function for biological
organisms, if any, and can it be described mathematically? Rather
than organize the chapters on a "biological versus artificial"
basis or by what stance they took on optimality, it seemed more
natural to organize them either by what level of questions they
posed or by what intelligent functions they dealt with.
The book begins with some general frameworks for discussing
optimality, or the lack of it, in biological or artificial systems.
The next set of chapters deals with some general mathematical and
computational theories that help to clarify what the notion of
optimality might entail in specific classes of networks. The final
section deals with optimality in the context of many different
high-level issues, including exploring one's environment,
understanding mental illness, linguistic communication, and social
organization. The diversity of topics covered in this book is
designed to stimulate interdisciplinary thinking and speculation
about deep problems in intelligent system organization.
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